Total 82 Full-time job vacancies

Our Quantitative Researchers apply tools from a variety of disciplines including statistics, control theory, machine learning, optimization, and signal processing to develop algorithmic trading strategies.  Our research team collaborates on idea generation and strategy development, while encouraging independent exploration and original approaches.  Researchers have access to clean data integrated with a high performance-computing grid and the support of dedicated software developers. 

What you’ll do in this role

• Create and refine high-quality predictive signals using statistics, machine learning, and signal processing techniques.
• Identify and mathematically characterize inefficiencies in financial markets.
• Apply NLP and other cutting-edge methods to uncover alpha in non-traditional datasets.
• Utilize advanced optimization techniques to design and construct optimal portfolios.
• Design and implement automated trading agents to achieve superior execution performance.
• Formulate research problems, conduct rigorous analysis, and transition ideas into fully functional trading systems.

Requirements

• 2+ years of professional experience in equity/futures statistical arbitrage or systematic trading research.
• Advanced degree in a quantitative field with a focus on statistics, mathematics, machine learning, signal processing or optimizations
• Experience in handling large datasets using languages such as Python or C++
• Significant hands-on experience with formulating a research problem, conducting the research and developing a working system
• Proven track record in delivering successful systematic strategies is plus
• Self-starter with strong proactivity, sets ambitious goals, willingness to drive and own projects, and proactively identifies opportunities for impact
• Excellent verbal and written communication skills
• Meticulous attention to details and accuracy in work

Job Description

• Industry/ Organization Type: Financial Institution
• Position Title: Quant Researcher
• Working Location: Central
• Working Hours: 5 days (Mon – Fri, 9.00am – 6.00pm)
• Salary Package: Basic salary up to $8,000 + Variable Bonus
• Duration: Permanent Role

Key Responsibilities

• Develop and apply technical strategies using quantitative and machine learning methods to meet business goals
• Work with the CEO and technical team to drive research projects and improve systems
• Provide expert advice on quantitative analysis and algorithm design
• Design and build system architectures that are secure, scalable, and high-performance, using data analysis and modelling
• Manage relationships with technology vendors and service providers
• Carry out research to create trade ideas using quantitative models and macroeconomic analysis
• Assess and improve portfolio risk and performance through quantitative analysis
• Prepare regular market reports and forecasts for management and stakeholders
• Provide detailed portfolio performance reports to management and stakeholders
• Review NAV reports and submit monthly trade files, ensuring they are accurate and compliant
• Lead research, development, and back-testing of quantitative and fundamental strategies
• Work with team members to develop and improve AI tools for market prediction and portfolio optimization
• Help prepare materials for marketing and investor relations, highlighting research and performance results
• Find and apply for government grants and loans to support research activities
• Provide updates on regulatory and tax changes to keep the firm compliant
• Handle other administrative tasks as needed to support team operations

APPLY NOW!!!

• Master’s degree in a quantitative field such as Mathematics, Statistics, Economics, Quantitative Finance, or similar
• At least 3 years of experience in financial quantitative research roles
• Strong programming skills in Python, C++, Java, MySQL, Matlab, R, and Latex
• Hands-on experience with machine learning tools like TensorFlow and PyTorch
• Experience developing NLP models for financial use

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #77900 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

1. Lead Generation & Prospect Research

• Identify and research potential clients, customers, and business opportunities across targeted industries and markets.
• Develop and maintain a pipeline of qualified leads.
• Utilize various research platforms, databases, social media channels, industry directories, and online resources to identify prospects.
• Verify and validate lead information including company details, decision-makers, contact information, and business requirements.
• Segment prospects according to industry, geography, company size, revenue, and business potential.
• Conduct account profiling and develop target account lists.

2. Market Intelligence & Competitive Analysis

• Monitor market developments, industry trends, competitor activities, and emerging business opportunities.
• Gather intelligence on competitor products, pricing strategies, market positioning, customer acquisition activities, and business developments.
• Prepare competitor benchmarking reports and market landscape assessments.

3. Business Opportunity Development (exclude)

• Research upcoming tenders, contracts, projects, and procurement opportunities.
• Track market expansion opportunities and new business sectors.

4. Data Analysis & Reporting

• Collect, analyze, and interpret market and customer data

Requirements:

• Bachelor's Degree in Marketing, Business Administration, Economics, Market Research, Statistics, Data Analytics, or a related field.
• Minimum 0-3 years of experience in market research, lead generation, business intelligence, sales support, or business development.
• Proficiency in CRM platforms and lead generation tools.
• Experience in conducting market analysis and competitive intelligence research.
• B2B industry experience is preferred.
• Strong analytical skills with experience in data analysis and reporting tools.
• Proficient in internet and database research, as well as Microsoft Office applications.
• Fresh graduates are welcome to apply.

Job Description:

• Conduct cutting-edge research in the field of recommendation & search, natural language processing and deep learning &LLM.
• Develop AI-enabled products and services with other groups in the company
• Collaborate with world-class organizations in academia projects

Skills / Qualifications:

• Possess a PhD degree in computer science, statistics, applied mathematics, or have equivalent research experiences
• Demonstrate the ability to generate new ideas.
• Have 3 years of academic or industrial working experiences in recommendation & search, natural language processing, deep learning, machine learning, or related fields
• Have strong programming skills, experienced in one or more programming languages including but not limited to: C/C++, Java, Python.

Interested candidate please click "APPLY" to begin your job search journey.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy. 

PERSOL Singapore Pte Ltd

• RCB No. 200007268E • EA License No. 01C4394

• Registration ID: Heah Sian Wei R23117518

Job Description

• Industry/ Organization Type: Financial Institution
• Position Title: Quant Researcher
• Working Location: Central
• Working Hours: 5 days (Mon – Fri, 9.00am – 6.00pm)
• Salary Package: Basic salary up to $8,000 + Variable Bonus
• Duration: Permanent Role

Key Responsibilities

• Develop and apply technical strategies using quantitative and machine learning methods to meet business goals
• Work with the CEO and technical team to drive research projects and improve systems
• Provide expert advice on quantitative analysis and algorithm design
• Design and build system architectures that are secure, scalable, and high-performance, using data analysis and modelling
• Manage relationships with technology vendors and service providers
• Carry out research to create trade ideas using quantitative models and macroeconomic analysis
• Assess and improve portfolio risk and performance through quantitative analysis
• Prepare regular market reports and forecasts for management and stakeholders
• Provide detailed portfolio performance reports to management and stakeholders
• Review NAV reports and submit monthly trade files, ensuring they are accurate and compliant
• Lead research, development, and back-testing of quantitative and fundamental strategies
• Work with team members to develop and improve AI tools for market prediction and portfolio optimization
• Help prepare materials for marketing and investor relations, highlighting research and performance results
• Find and apply for government grants and loans to support research activities
• Provide updates on regulatory and tax changes to keep the firm compliant
• Handle other administrative tasks as needed to support team operations

APPLY NOW!!!

• Master’s degree in a quantitative field such as Mathematics, Statistics, Economics, Quantitative Finance, or similar
• At least 3 years of experience in financial quantitative research roles
• Strong programming skills in Python, C++, Java, MySQL, Matlab, R, and Latex
• Hands-on experience with machine learning tools like TensorFlow and PyTorch
• Experience developing NLP models for financial use

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #77900 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

Company Overview

PEACEBIRD Fund Management is a specialist investment firm focused on high-performance swing trading. We are seeking a Quant-Hybrid Analyst to join our team. Unlike traditional quant roles that focus solely on "black box" models, you will work directly with the Portfolio Manager to refine and optimize a market-beating strategy rooted in trend following and asymmetric risk. You will be responsible for bridging the gap between historical data analysis and live market execution.

Core Responsibilities

• Factor Engineering: Research and develop momentum, technical, and fundamental factors using S&P Capital IQ and Python/Excel. Focus on "Synthetic RS" and acceleration metrics.
• System Optimization: Perform "Walk-Forward Analysis" on core setups to identify non-linear relationships and reduce "noise" in entry signals.
• Performance Auditing: Maintain a rigorous "Market Diary" of all trades; calculate MAE (Maximum Adverse Excursion) and MFE (Maximum Favorable Excursion) to refine stop-loss placement and profit-taking logic.
• Risk Modeling: Develop and maintain volatility-adjusted position sizing models (ATR-based) to maintain a "Thin Risk" profile (Risk of Ruin < 0.5% per trade).
• Trade Execution: Execute trades in HK and US equity markets, ensuring minimal slippage and adherence to systematic entry triggers.
• Market Intelligence: Monitor global news, earnings catalysts, and regulatory shifts to identify potential industry group rotations.

Qualifications & Skills

• Domain Expertise: Deep familiarity with professional swing trading methodologies (e.g., VCP, CANSLIM, and Institutional Momentum).
• Technical Stack: Expert-level Excel (Nested logic, Lambda, Array formulas). Proficiency in Python (Pandas, Scikit-learn) or SQL is highly preferred for data manipulation.
• Quant Literacy: Absolute proficiency in calculating Expectancy, Profit Factor, and Sharpe/Sortino ratios without assistance.
• Education & Experience: Bachelor’s degree in a quantitative field (Finance, Math, CS). CFA/FRM is a plus. 1–3 years of active trading or research experience specifically in HK and US Markets.
• Communication: Fluent in Mandarin and English to effectively communicate with stakeholders and analyze regional market data.

The Ideal Candidate

You are a "Trader-Scientist." You understand that a backtest is only as good as its underlying logic. You possess the discipline to follow a system but the curiosity to use machine learning to find the "hidden edges" that others miss.

Key Responsibilities:

1. Si-based 3D DRAM:

1) Novel Metals & Interconnect Strategy:

• Lead the research and integration of advanced low-resistivity conductive materials for sub-10nm metal line and interconnect applications.
• Focus on materials screening, physical property optimization (e.g. thermal stability and work function engineering), process optimization, and HVM readiness evaluation and preparation.

2) Advanced Junction Formation:

• Define the process for ultra-scaled junction formation.
• Develop low-thermal-budget process and technology to achieve precise doping profiles and activation, ensuring optimal device performance in HAR 3D structures.
• Develop novel characterization technologies for precise junction profile measurements in complex 3D structures.

3) 3D Architecture & Silicide Integration:

• Overcome challenges in high aspect ratio structures.
• Develop robust n-type silicide processes for complex 3D geometries, ensuring low contact/barrier resistance, high step coverage, high thermal stability, and future scalability in deep trench/via applications.

2. DRAM with novel channel oxide materials:

• Development of novel DRAM array memory architecture.
• Research and development of novel DRAM transistor channel materials.
• Novel device design and performance optimization.
• Research and development of key processes and process integration technologies.
• Development of TEG design, peripheral circuit design, and structural/electrical testing solutions.
• Materials, process, and device simulation.

Required Qualifications:

1. Education: Master's degree or above (PhD preferred).
2. Major: Physics, material science & engineering, chemistry.
3. Other Requirements:

• 8+ years of DRAM memory development experience, including at least 5 years as architecture or key technology lead.
• Familiar with TLC/QLC/PLC multi-bit memory mechanisms and their challenges to read/write algorithms, ECC, and wear leveling.
• Excellent systems thinking and cross-domain integration capabilities, able to efficiently coordinate circuit, device, firmware, verification, testing, and product teams.
• Excellent technical documentation writing and technical decision-making communication skills.
• In-depth understanding of the ECC architecture (BCH/LDPC) and DRAM controller collaboration mechanism is preferred.
• Familiarity with the impact of reliability modeling under advanced processes (such as TDDB, HCI, RTN) on the architecture.
• Publication of DRAM-related papers at international conferences (such as ISSCC, VLSI, IMW) is a plus.

Squarepoint is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. We have deep expertise in trading, technology and operations and attribute our success to rigorous scientific research. As a technology and data-driven firm, we design and build our own cutting-edge systems, from high performance trading platforms to large scale data analysis and compute farms. With offices around the globe, we emphasize true, global collaboration by aligning our investment, technology and operations teams functionally around the world.

Overview of Quant Researcher Position:

• Research and implement strategies within the firm’s automated trading framework.
• Analyze large data sets using advanced statistical methods to identify trading opportunities.
• Develop a strong understanding of market structure of various exchanges and asset classes.

Typical Day of Quant Researcher:

• Primary focus throughout the day is on researching and implementing trading ideas.
• Before market open, check that all required data and related processes are ready for the trading day.
• During market hours, sporadically monitor behavior and performance of strategies.

Skill Set Required For Position:

• Quantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics.
• Programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python).
• Strong communication skills and ability to work well with colleagues across multiple regions.
• Ability to work well under pressure

Job Description

• Industry/ Organization Type: Financial Institution
• Position Title: Quant Researcher
• Working Location: Central
• Working Hours: 5 days (Mon – Fri, 9.00am – 6.00pm)
• Salary Package: Basic salary up to $8,000 + Variable Bonus
• Duration: Permanent Role

Key Responsibilities

• Develop and apply technical strategies using quantitative and machine learning methods to meet business goals
• Work with the CEO and technical team to drive research projects and improve systems
• Provide expert advice on quantitative analysis and algorithm design
• Design and build system architectures that are secure, scalable, and high-performance, using data analysis and modelling
• Manage relationships with technology vendors and service providers
• Carry out research to create trade ideas using quantitative models and macroeconomic analysis
• Assess and improve portfolio risk and performance through quantitative analysis
• Prepare regular market reports and forecasts for management and stakeholders
• Provide detailed portfolio performance reports to management and stakeholders
• Review NAV reports and submit monthly trade files, ensuring they are accurate and compliant
• Lead research, development, and back-testing of quantitative and fundamental strategies
• Work with team members to develop and improve AI tools for market prediction and portfolio optimization
• Help prepare materials for marketing and investor relations, highlighting research and performance results
• Find and apply for government grants and loans to support research activities
• Provide updates on regulatory and tax changes to keep the firm compliant
• Handle other administrative tasks as needed to support team operations

APPLY NOW!!!

• Master’s degree in a quantitative field such as Mathematics, Statistics, Economics, Quantitative Finance, or similar
• At least 3 years of experience in financial quantitative research roles
• Strong programming skills in Python, C++, Java, MySQL, Matlab, R, and Latex
• Hands-on experience with machine learning tools like TensorFlow and PyTorch
• Experience developing NLP models for financial use

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #77900 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

Bright Point Capital Pte Ltd is a registered fund management company in Singapore regulated by the Monetary Authority of Singapore (MAS). We are currently looking to expand our research and investment capabilities for one of our funds.

Responsibilities

• Conduct research and statistical analysis of trade data
• Assist in managing database
• Assist in monitoring and running existing algorithms to trade across multiple asset classes
• Review and improve on existing trading models

Requirements

• PhD preferred, or exceptional MSc/BSc, in mathematics, statistics, physics, computer science, electrical engineering, operations research, machine learning, or a related quantitative discipline.
• Strong foundation in probability, statistics, optimization, linear algebra, machine learning, and time-series or stochastic modelling.
• Strong programming ability

About Us

Bright Point Capital Pte Ltd is a registered fund management company in Singapore regulated by the Monetary Authority of Singapore (MAS). We are currently looking to expand our research and investment capabilities for one of our funds.

The investment mandate focuses on trading financial instruments across different asset classes and global exchanges. We are looking for a strong quantitative researcher to support systematic strategy research, model validation, and data-driven decision making.

ROLE DESCRIPTION

• Work closely with experienced traders and developers to research, test, and validate systematic trading models
• Apply mathematics, statistics, machine learning, and scientific research methods to large-scale financial market data
• Support the trading team with rigorous research evidence; trading direction, strategy prioritization, and live deployment decisions will remain led by the trading team
• Prior finance or trading experience is not required

RESPONSIBILITIES

• Translate market observations and trading ideas into testable research hypotheses.
• Research statistical and machine learning methods for forecasting, classification, signal generation, and pattern detection in noisy sequential data.
• Evaluate modern ML approaches, including deep learning, sequence models, and attention-based models, while benchmarking against simpler statistical baselines.
• Build reusable research tools for data cleaning, feature generation, model comparison, experiment tracking, and result analysis.
• Communicate research results clearly, including assumptions, limitations, risks, negative findings, and reasons a model may fail in live use.

REQUIREMENTS

• PhD preferred, or exceptional MSc/BSc, in mathematics, statistics, physics, computer science, electrical engineering, operations research, machine learning, or a related quantitative discipline.
• Strong foundation in probability, statistics, optimization, linear algebra, machine learning, and time-series or stochastic modelling.
• Strong programming ability in Python and experience with scientific computing or machine learning libraries such as NumPy, pandas, scikit-learn, PyTorch, JAX, TensorFlow, or similar tools.
• Experience working with noisy real-world data, large datasets, simulations, or empirical research problems.
• Strong problem-solving ability, intellectual honesty, attention to detail, and willingness to challenge model results rather than accept them at face value.

WHAT TO EXPECT

• You will learn the financial market context from experienced traders while contributing your scientific and technical expertise.
• We encourage rigorous thinking, reproducible research, and honest communication of both positive and negative results.
• The work involves open-ended research problems where clear thinking, persistence, and careful validation matter more than using complex models for their own sake.

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.

Tower Research Capital seeks a Quantitative Researcher to join one of our trading teams in Singapore. As a Quantitative Researcher, you will be using in-house trading system—one of the fastest and most comprehensive in the world—to develop and deploy algorithmic trading strategies based on patterns in market behavior.

Responsibilities

• Designing, implementing, and deploying high-frequency trading algorithms
• Exploring trading ideas by analyzing market data and market micro-structure for patterns
• Creating tools to analyze data for patterns
• Contributing to libraries of analytical computations to support market data analysis and trading
• Developing, augmenting, and calibrating exchange simulators

Qualifications

• At least a Bachelors Degree in computing, statistics, mathematics or a related field from a top-tier university
• Prior internship experience in financial trading would be advantageous
• Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis)
• Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
• Good experience with signal generation and statistical models
• Strong programming skills in C++ and Python

Summary

The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing. The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop innovative generative AI technologies based on Large Language Model to power innovative features in both Apple’s devices and services on the cloud.

As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs.

You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple’s AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies.

Description

As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills in creating outstanding search and NLP services. This role will have the following responsibilities:

• Analyzing search ranking and relevance requirements, issues and opportunities
• Developing, fine-tuning, and evaluating domain specific Large Language Models for various tasks and applications in Apple’s AI powered products
• Conducting applied research to transfer the pioneering research in generative AI to production ready technologies
• Understanding product requirements, translate them into modeling tasks and engineering tasks
• Building machine learned models for search relevance, ranking and query understanding problems
• Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc.
• Building end-to-end production system including query understanding and ranking to power search
• Applying Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing

Minimum Qualifications

• PhD, MS or equivalent experience
• Experience in machine learning, deep learning, information retrieval, natural language processing or data mining
• Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs.
• Proficiency in one of following languages: Python, Go, Java, C++

Preferred Qualifications

• Excellent data analytical skills
• Good interpersonal skills and team player
• PhD preferred

Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Summary

The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing. The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop innovative generative AI technologies based on Large Language Model to power innovative features in both Apple’s devices and services on the cloud.

As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs.

You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple’s AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies.

Description

As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills in creating outstanding search and NLP services. This role will have the following responsibilities:

• Analyzing search ranking and relevance requirements, issues and opportunities
• Developing, fine-tuning, and evaluating domain specific Large Language Models for various tasks and applications in Apple’s AI powered products
• Conducting applied research to transfer the pioneering research in generative AI to production ready technologies
• Understanding product requirements, translate them into modeling tasks and engineering tasks
• Building machine learned models for search relevance, ranking and query understanding problems
• Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc.
• Building end-to-end production system including query understanding and ranking to power search
• Applying Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing

Minimum Qualifications

• PhD, MS or equivalent experience
• Experience in machine learning, deep learning, information retrieval, natural language processing or data mining
• Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs.
• Proficiency in one of following languages: Python, Go, Java, C++

Preferred Qualifications

• Excellent data analytical skills
• Good interpersonal skills and team player
• PhD preferred

Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Overview

NEU Battery Materials aims to be the largest, cleanest, and most neutral source of recycled lithium globally. The firm developed the world’s first patented electrochemical redox recycling method that only uses electricity and water. This revolutionary approach is paving the way for a more sustainable future in LFP battery recycling. 

This role is about figuring things out. You’ll spend your time understanding the current state of our technology, identifying what we don’t yet know, and using a combination of your technical background and genuine curiosity to come up with ideas worth testing. Then you’ll run those experiments, interpret the results, and work toward solutions that are designed from the start to translate to commercial scale.

The scope spans electrolyzer development, electrode and electrocatalyst work, impurity removal, electrolyte behaviour, mass and water balances, and broader chemical and electrochemical challenges as they arise. Some problems will be clearly defined. Others you’ll need to frame yourself. You’ll work closely with the Engineering Team.

If you enjoy research and the above sounds like you, click "Apply" below or send your resume to careers@neumaterials.com

‍

What You’ll Work On

• Design and execute experiments to develop and optimise our electrolyzer systems, including electrode fabrication, electrocatalyst development and cell characterisation
• Investigate and resolve process challenges: impurity behaviour, electrolyte stability, mass and water balances across the system
• Set up proof-of-concept (POC) experiments for new process ideas and take promising ones through iterative development cycles toward scale-up
• Perform electrochemical analysis (EIS, voltammetry, Tafel analysis) and wet chemical characterisation; interpret results and draw actionable conclusions
• Support pilot and process engineering work by translating bench findings into parameters that matter at scale
• Contribute to grant proposals, patent filings and internal technical documentation as needed

‍

Requirements

• PhD or MS/BS with strong hands-on research experience in Electrochemistry, Chemical Engineering, Chemistry, Materials Science or a related field
• 3–5 years of experimental research experience in electrochemistry or closely related systems
• Solid grounding in electrochemical fundamentals: thermodynamics, kinetics, mass transport, electrode processes
• Practical experience with electrochemical characterisation techniques - EIS, cyclic voltammetry, impedance analysis and holistic data interpretation
• Track record of taking experiments from concept through execution and subsequently through conclusions, and owning the outcomes

‍

Technical advantage

• Experience with alkaline electrolyzer systems or related electrochemical devices (fuel cells and redox flow batteries)
• Familiarity with ion exchange membranes, corrosion-resistant materials, or trace metal separation/purification
• Modelling or simulation experience: COMSOL, DFT, Python/MATLAB for kinetic or process modelling
• Awareness of relevant safety and environmental standards (ISO, lab-scale chemical handling)

‍

Who We’re Looking For

Beyond the technical requirements, the person who’ll do well here is genuinely curious. Not just about their specific area, but about the broader system and how things connect. You’re self-driven enough to identify what needs investigating without being told, and motivated enough to go deeper when the first answer doesn’t fully hold up.

You are also someone who can wear different hats. That might mean stepping outside your immediate scope to help unblock a problem, communicating your findings clearly to people with different backgrounds, or collaborating with engineers on questions that sit at the boundary of research and scale-up. We’re a lean team where that kind of range matters.

If you’ve spent your career executing well-defined protocols and prefer it that way, this probably isn’t the right fit. If you’ve thrived when given a problem and the freedom to figure out how to approach it, we’d like to hear from you.

• 6-month contract
• Government project
• Hybrid work arrangement

Role Overview

We are looking for an experienced UX Researcher to execute evaluative research across a portfolio of government digital services. The role focuses on assessing the usability, usefulness, accessibility, and overall user experience of existing products through structured research studies, usability testing, and mystery shopper evaluations.

The researcher will plan and conduct studies in both laboratory and field settings, recruit representative participants, design research protocols, analyse quantitative and qualitative data, and generate evidence-based recommendations to improve public digital services. Findings must be objective, statistically sound where appropriate, and clearly communicated to product, design, engineering, and policy stakeholders.

Key Responsibilities

• Design and conduct usability evaluations, mystery shopper studies, benchmarking exercises, and service assessments across government digital products.
• Select and apply appropriate research methodologies, including moderated and unmoderated usability testing, surveys, interviews, contextual inquiry, diary studies, and observational research.
• Apply validated measurement frameworks and instruments such as SUS, UEQ, SEQ, CSAT, NPS, accessibility assessments, and task success metrics.
• Analyse quantitative and qualitative data, triangulate findings across multiple sources, and identify meaningful patterns without introducing researcher bias.
• Produce actionable reports, highlight evidence-based recommendations, and communicate findings to senior stakeholders.
• Establish repeatable evaluation frameworks and benchmarks to track service quality over time.
• Collaborate closely with designers, product managers, engineers, accessibility specialists, and service owners.

Preferred Qualifications

• Degree or postgraduate qualification in Human-Computer Interaction (HCI), Human Factors, Cognitive Psychology, Experimental Psychology, Behavioural Science, Ergonomics, Information Science, Sociology, Anthropology, or a related field.
• Formal training in research design, statistics, survey methodology, experimental methods, or behavioural research.
• Experience applying both qualitative and quantitative research methods in professional settings.
• Strong understanding of validity, reliability, sampling approaches, bias mitigation, and evidence-based evaluation.

Required Experience

• 5+ years of experience conducting UX research, usability evaluations, human factors research, or service evaluations.
• Demonstrated experience planning and facilitating usability testing with diverse participant groups.
• Experience using standard UX metrics and scales, including understanding when and how to apply instruments such as SUS, UEQ, SEQ, CSAT, and task-based performance measures.
• Ability to conduct rigorous qualitative analysis, thematic analysis, coding, and synthesis of research findings.
• Ability to perform quantitative analysis, interpret statistical results, and explain findings clearly to non-research audiences.
• Experience producing objective, defensible findings and recommendations that influence product and service decisions.

Introduction to The Centre for Precision Fermentation and Sustainability:                                                   

The Centre for Precision Fermentation and Sustainability (PreFerS) is a research program hosted by the Illinois Advanced Research Center at Singapore Ltd.(Illinois ARCS). The program aims to develop advanced fundamental sciences and technologies to implement fermentation-based production of foods and food ingredients, and also to enhance food security and sustainability in Singapore, particularly addressing the micronutrient food insecurity through precision fermentation.

Position Overview

We are seeking a highly motivated Postdoctoral Researcher to join our team in advancing protein expression and strain engineering projects using Komagataella phaffii (Pichia pastoris). The successful candidate will play a key role in developing optimized expression systems, engineering strains for enhanced yield, and contributing to downstream applications in biotechnology and food innovation.

Key Responsibilities:

·       Design, construct, and evaluate recombinant K. phaffii strains for high-level protein expression.

·       Perform molecular cloning, promoter screening, and vector optimization for heterologous protein production.

·       Develop high through put screens for evaluation of protein expression.

·       Conduct fermentation experiments in flask and bioreactor formats, optimizing growth conditions and induction strategies.

·       Apply strain engineering approaches (e.g., CRISPR/Cas9, metabolic pathway optimization) to improve protein yield and stability.

·       Collaborate with team members on purification workflows, analytical characterization, and functional assays of expressed proteins.

·       Participate in the development of project strategy.

·       Document experimental results, prepare technical reports, and contribute to publications and grant proposals.

·       Mentor junior researchers and support collaborative projects across the laboratory.

Job Requirements:

·       PhD in Molecular Biology, Biotechnology, Biochemistry, or related field.

·       Strong expertise in yeast genetics and protein expression, particularly with K. phaffii.

·       Hands-on experience with cloning, strain engineering, and fermentation techniques.

·       Familiarity with protein purification methods (e.g., affinity chromatography, FPLC).

·       Demonstrated ability to troubleshoot experimental challenges and design innovative solutions.

·       Strong publication record in relevant fields.

·       Excellent communication and teamwork skills.

Preferred Skills

·       Experience with synthetic biology tools for pathway engineering.

·       Knowledge of bioprocess scale-up and bioreactor operation.

·       Familiarity with omics-based approaches (transcriptomics, proteomics) for strain characterization.

·       Ability to align research outcomes with industrial biotechnology applications.

Opportunities

·       Work in a collaborative, interdisciplinary environment focused on sustainable biotechnology.

·       Contribute to projects with direct relevance to food innovation and precision fermentation.

·       Access to state-of-the-art laboratory facilities and fermentation equipment.

·       Professional development through publications, conferences, and industry collaborations.

Application Process:

*Interested candidates should submit their resume/CV together with a cover letter outlining their qualifications and relevant experience for the position. Please also include the names and contact details of three professional referees.

Applications will be considered until the corresponding position has been filled. Only shortlisted candidates will be notified.

Overview
We are seeking a Cyber Security Researcher to join a team focused on identifying and mitigating software vulnerabilities through advanced security research. This role offers the opportunity to work alongside cyber threat experts in conducting vulnerability research, reverse engineering, fuzzing, and code auditing to strengthen system security against evolving cyber threats.

Responsibilities

• Collaborate with cyber security and threat intelligence experts to identify and mitigate security risks.
• Conduct vulnerability research through fuzzing, reverse engineering, and source code auditing.
• Analyze software and systems to identify security weaknesses and exploit paths.
• Develop proof-of-concept (PoC) exploits to validate identified vulnerabilities.
• Investigate security flaws and recommend remediation strategies.
• Contribute to the development of tools and methodologies for vulnerability discovery and analysis.
• Stay current with emerging cyber threats, attack techniques, and security research trends.

Requirements

• Min 2 years of experience in vulnerability research, reverse engineering, software security, or cyber security research.
• Hands-on experience in native userland and or kernel-space vulnerability research.
• Experience identifying and analyzing security vulnerabilities through fuzzing, reverse engineering, and code auditing.
• Strong programming skills in C and Python.
• Familiarity with ARM/AArch64 assembly language and low-level system internals.

Overview

We are seeking an AI/ML Researcher to drive research and development in Large Language Models (LLMs), Natural Language Processing (NLP), and Generative AI. This role focuses on LLM research, information retrieval, reasoning, model evaluation, and the development of innovative AI solutions through scientific experimentation.

Responsibilities

• Conduct research in NLP and LLM domains, including information retrieval, entity-relation extraction, reasoning, sentiment analysis, and LLM vulnerabilities.
• Design and execute scientific experiments, benchmarking frameworks, and model evaluations.
• Develop and evaluate Generative AI and LLM solutions using PyTorch, TensorFlow, and modern NLP frameworks.
• Research synthetic data generation, LLM performance optimisation, and emerging AI techniques.
• Communicate research findings and collaborate with engineering teams to translate research into deployable solutions.

Requirements

• Strong background in NLP, LLMs, Generative AI, and machine learning research.
• Hands-on experience with PyTorch and/or TensorFlow.
• Experience in information retrieval, reasoning, entity-relation extraction, sentiment analysis, or LLM evaluation.
• Strong understanding of research methodology, experiment design, benchmarking, and model evaluation.
• Experience developing, fine-tuning, or evaluating LLM solutions.
• Master's or PhD in Computer Science, AI, Data Science, Statistics, Engineering, or a related field preferred.

About Company

Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain platform.

XG Tech focuses on the intelligent cockpit—the next frontier of differentiation—while seamlessly integrating advanced driving systems. By reimagining cars as mobile living spaces, XG Tech aligns with the evolving trend of vehicles becoming the “third living space.”

Role Summary

As a Senior Agent Researcher, you will design and build evaluation-driven Agent and multi-agent systems for complex real-world applications. You will focus not just on making Agents work, but on understanding, measuring, and continuously improving their behavior, combining research depth with strong engineering execution in an AI-native development environment.

Key Responsibilities

• Build and evolve evaluation-driven Agent systems, using evaluation as the core mechanism for behavior improvement and iteration
• Design Agent architectures that are observable, maintainable, and optimizable under real-world constraints
• Develop scalable evaluation infrastructure, including automated testing, benchmarking, and experimentation frameworks
• Optimize Agent performance across architecture, model selection, context management, memory, and tool usage, balancing performance and cost
• Rapidly prototype Agent systems and demos, integrating research insights with engineering and product validation
• Continuously explore and apply advancements in LLMs, multimodal models, multi-agent systems, and context engineering

How You Will Stand Out

• Proven experience designing, building, or deploying Agent systems, LLM-based applications, or complex AI systems in production environments
• Strong understanding of AI/ML fundamentals and system design, including models, inference, training, context, and evaluation
• Hands-on experience with Agent evaluation frameworks, automated experimentation, or A/B testing
• Ability to translate cutting-edge research (LLMs, MLLMs, multi-agent systems) into practical, production-ready solutions
• Strong systems thinking with a research-oriented mindset and solid engineering execution
• Publications, open-source contributions, or experience in automotive, chip, or intelligent cockpit systems are advantageous

XG Tech is committed to providing equal employment opportunities by country, state, and local laws. XG Tech does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

ALC Technologies SG Pte Ltd is looking for an exceptional Quantitative Researcher to join our team. In this role you conduct creative research and impact our trading strategies. You will have the opportunity to work alongside co-founders who are industry experts in the rapidly developing field of cryptocurrencies and digital assets. This is a rare opportunity where your work will directly contribute to the success of new and existing trading strategies. If you also have hands-on experience in software development and agile methodologies, we’d like to meet you.

Key Responsibilities

• Research on core trading strategies: core algorithms, models, execution logic, performance optimization and monitoring
• Implement frameworks for developing, validating and testing trading strategies
• Analyse behavior of trades and avenues for improvement
• Responsible for improving our strategies, the P/L through pricing-based research, into monetization.
• Advance existing initiatives and explore opportunities for new research topics
• Drive technical innovation and improve simulations within the team through the evaluation of new tools and technologies

The Ideal Candidate

• Prior experience in a quantitative role within a trading environment or experience applying advanced quantitative techniques
• Passion for solving complex and data intensive problems
• Capable of delivering on multiple competing priorities with little supervision
• Strong proficiency in programming languages C++ and/or Python
• Bachelors, Masters or PhD in a technical field from top-tier universities such as Physics, Mathematics, Statistics, Engineering, Computer Science or equivalent

Compensation & Benefits

• Competitive salary based on experience
• Participation in company bonus pool
• Daily catered lunch
• Health insurance and wellness benefits
• Unlimited vacation policy

ALC Technologies SG Pte Ltd is looking for an exceptional Quantitative Researcher to join our team. In this role you conduct creative research and impact our trading strategies. You will have the opportunity to work alongside co-founders who are industry experts in the rapidly developing field of cryptocurrencies and digital assets. This is a rare opportunity where your work will directly contribute to the success of new and existing trading strategies. If you also have hands-on experience in software development and agile methodologies, we’d like to meet you.

Key Responsibilities

• Research on core trading strategies: core algorithms, models, execution logic, performance optimization and monitoring
• Implement frameworks for developing, validating and testing trading strategies
• Analyse behavior of trades and avenues for improvement
• Responsible for improving our strategies, the P/L through pricing-based research, into monetization.
• Advance existing initiatives and explore opportunities for new research topics
• Drive technical innovation and improve simulations within the team through the evaluation of new tools and technologies

The Ideal Candidate

• Prior experience in a quantitative role within a trading environment or experience applying advanced quantitative techniques
• Passion for solving complex and data intensive problems
• Capable of delivering on multiple competing priorities with little supervision
• Strong proficiency in programming languages C++ and/or Python
• Bachelors, Masters or PhD in a technical field from top-tier universities such as Physics, Mathematics, Statistics, Engineering, Computer Science or equivalent

Compensation & Benefits

• Competitive salary based on experience
• Participation in company bonus pool
• Daily catered lunch
• Health insurance and wellness benefits
• Unlimited vacation policy

ALC Technologies SG Pte Ltd is looking for an exceptional Quantitative Researcher to join our team. In this role you conduct creative research and impact our trading strategies. You will have the opportunity to work alongside co-founders who are industry experts in the rapidly developing field of cryptocurrencies and digital assets. This is a rare opportunity where your work will directly contribute to the success of new and existing trading strategies. If you also have hands-on experience in software development and agile methodologies, we’d like to meet you.

Key Responsibilities

• Research on core trading strategies: core algorithms, models, execution logic, performance optimization and monitoring
• Implement frameworks for developing, validating and testing trading strategies
• Analyse behavior of trades and avenues for improvement
• Responsible for improving our strategies, the P/L through pricing-based research, into monetization.
• Advance existing initiatives and explore opportunities for new research topics
• Drive technical innovation and improve simulations within the team through the evaluation of new tools and technologies

The Ideal Candidate

• Prior experience in a quantitative role within a trading environment or experience applying advanced quantitative techniques
• Passion for solving complex and data intensive problems
• Capable of delivering on multiple competing priorities with little supervision
• Strong proficiency in programming languages C++ and/or Python
• Bachelors, Masters or PhD in a technical field from top-tier universities such as Physics, Mathematics, Statistics, Engineering, Computer Science or equivalent

Compensation & Benefits

• Competitive salary based on experience
• Participation in company bonus pool
• Daily catered lunch
• Health insurance and wellness benefits
• Unlimited vacation policy

Overview

We are seeking an AI Researcher to join our R&D team to develop practical AI and machine learning solutions for real-world analytical problems. This role focuses on predictive modelling, statistical analysis, LLM-powered AI agents, and intelligent systems operating across structured and unstructured data.

Responsibilities

• Develop and evaluate predictive models including regression, classification, and forecasting models.
• Conduct EDA, statistical experimentation, hypothesis testing, and model validation on large datasets.
• Build and experiment with LLM systems involving RAG, AI agents, fine-tuning, LoRA, and vector databases.
• Develop scalable Python-based AI/ML pipelines and reproducible workflows.
• Work with structured and unstructured datasets, including text, image, audio, and multimodal data.

Requirements

• Proven experience training or fine-tuning machine learning and/or LLM models on datasets with at least 1 million records.
• Hands-on experience with one or more LLM fine-tuning techniques such as LoRA, QLoRA, PEFT, or SFT.
• Strong background in predictive analytics, statistical modelling, and machine learning.
• Experience evaluating model performance using experimentation, metrics, validation frameworks, and failure analysis.
• Experience working with large-scale structured and unstructured datasets.
• Strong Python programming skills with Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, and SQL.
• Experience building reproducible AI/ML pipelines and workflows.
• Good understanding of supervised, unsupervised, and generative AI models.

Preferred

• Experience with RAG, AI agents, LangChain/LangGraph, vector databases, or multimodal AI systems.
• Bachelor's, Master's, or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.

Job Responsibilities
1. Frontier Tech Exploration: Conduct deep optimization of LLM/VLM Agent architectures. Lead research in cutting-edge topics including Multimodal GUI Agents, Web Agents, and Long-term Memory mechanisms.

2. Agent Evolution (RL): Explore the application of Agentic RL in both real-world and simulated environments. Solve critical challenges such as policy drift in multi-turn long-horizon interactions, self-evolving mechanisms (Self-reflection/Discovery), and large-scale exploration efficiency.

3. Foundation Model Breakthroughs: Participate in the iteration of next-generation Agentic Foundation Models (e.g., MAI-UI 2.0). Significantly enhance model success rates in fine-grained UI perception, complex logical reasoning, and long-horizon planning.

4. Business Value Closure: Track SOTA (State-of-the-Art) developments to define and implement high-value scenarios for To-C personal assistants or To-B automation workflows, building AI-native applications with strong technical moats.

Job Qualifications
1. Academic Background: Master's or Ph.D. in Computer Science, AI, Mathematics, or related fields. Solid track record of research or high-level publications in LLM/VLM, Planning & Reasoning, or Reinforcement Learning.

2. Algorithm Depth & Breadth: Familiar with mainstream Large Model architectures (Transformers, MoE). Hands-on experience with Chain-of-Thought (CoT), Agent frameworks (e.g., LangGraph, AutoGPT), Tool-use augmentation, and RL algorithms (PPO, DPO, etc.) is highly preferred.

3. Hardcore Engineering: Strong systems thinking with the ability to handle convergence instability and hallucination suppression in large-scale training. Familiarity with inference acceleration, high-concurrency environment simulation, and Sandbox virtualization for Agent infrastructure.

4. Language & Collaboration: Proficiency in English and Mandarin (Chinese) is required. This role involves daily technical collaboration, code reviews, and architectural discussions with our R&D teams in China.

5. Geek Spirit: Exceptional technical curiosity and self-drive. Proven ability to define ambiguous problems from 0 to 1 and maintain leadership in rapidly evolving industry benchmarks.

6. Minimum 1 year of experience.

Bonus Points:

1. Academic/Community Influence: First-author publications in top-tier conferences (NeurIPS, ICLR, ICML, CVPR, etc.) or lead contributor to renowned open-source projects (GitHub 1k+ Stars).

2. Competition Honors: ACM/ICPC regional gold medals or above, or top rankings in LLM/Agent-related challenges (e.g., GAIA, OSWorld, SWE-bench).

3. System-level Expertise: Experience leading the full-cycle training of models with 3B+ parameters. Deep customization experience with distributed frameworks like Megatron-LM or DeepSpeed.

4. Cross-stack Capabilities: Background in low-level system development, with familiarity in browser engines (Chromium/WebKit), Linux kernel, or containerization.