Total 1,350 job vacancies in Singapore

Key Responsibilities:

• Design, develop and improve products, systems, or processes in line with company objectives
• Conduct research, testing, and validation of new ideas and prototypes
• Prepare technical documentation, reports, and specifications
• Collaborate with cross-functional teams including operations, production, and sales
• Troubleshoot technical issues and provide engineering support when required
• Ensure compliance with industry standards and regulatory requirements

Requirements:

• Bachelor’s degree in Engineering (e.g. Electrical / Mechanical / Software Engineering) or related field
• Minimum [X] years of relevant working experience
• Strong problem-solving and analytical skills
• Proficiency in relevant tools/software (e.g. AutoCAD, SolidWorks, programming languages, etc.)
• Good communication and teamwork skills
• Ability to work independently and manage multiple tasks

Demonstrates strong familiarity with PSLE Science assessment requirements, key examinable concepts, and question trends

Well-versed in PSLE Science syllabus, examination focus areas, and marking expectations

. Development of classroom and course materials.

. Expertise in delivering impactful in-person science lessons.

. Skillful engagement with students in a classroom setting, fostering a positive learning atmosphere.

. Adapt teaching methods to accommodate varying learning styles and levels of ability.

. Clear articulation of scientific concepts, enhancing understanding and mastery.

Location: Tampines (near MRT)

Position: Tuition Teacher (English Language, Math, Science)
Working Days: Wed to Sun, Mon & Tues off
Working Timing: 32 hours / Week
Working Location: Tampines Changkat Community Centre
Starting Salary: $2500 - $3500 (depends on experiences)

Responsibilities:

• Utilise provided Curriculum and Learning Methodology to help students succeed in school academics and ultimately in the PSLE.
• Assist in curriculum development during non teaching hours
• Administrative and operational work when required

Requirements:

• Degree holder 
• At least 1 year of teaching experience in P1 - P6 English curriculum
• Training provided for P1 to P6 Mathematics and Science teaching

If you are keen to apply, please send me your resume and job applied for on WhatsApp at 9789 3505 or email me at anabel.thesupreme@gmail.com (˶ᵔ ᵕ ᵔ˶)

❄️Anabel Boon Xue Qi | Recruitment Consultant (R25159272) |

Head of Science (Primary school level)

Working days & hours :
Centre days: 44 hours per week ; 4 weekday (1030AM-730PM / 1230PM - 930PM) + 1 weekend (830AM - 630PM)
HQ days (Meeting): Weekdays 930AM to 630PM 
Working location: Toa Payoh, travel to Woodleigh Mall to support the launch of new classes (including at least one new class). 
Salary: $5000- $7500
Report to: Managing Director 

Role Overview: We are hiring a Head of Science (Primary) to lead and strengthen a structured P3‒P6 Science programme.

This is a hands-on leadership role combining curriculum ownership, teaching, and teacher development. The role operates within an existing programme framework and is responsible for refining, improving, and scaling it to ensure consistent teaching quality and strong student outcomes across centres.

This role is critical in ensuring the programme delivers reliable results beyond individual teachers, with clear ownership over curriculum standards, teaching consistency, and overall programme effectiveness.

We’re looking for someone who can take a structured primary science programme, ensure consistent quality, and successfully roll it out across multiple centres.

Job Responsibilities: 

• Oversee and refine the P3‒P6 science curriculum, ensuring alignment with MOE syllabus and PSLE requirements
• Develop structured teaching approaches to ensure consistent lesson delivery
• Monitor student progress and continuously improve programme outcomes
• Engage parents through clear communication on student development
• Support trial classes and contribute to enrolment growth
• Teach 4‒6 classes per week, including at least 1 weekend, with teaching load adjusted as the teaching team expands
• Hire and train teachers to deliver high-quality lessons

Requirement:

• Degree in Science or related field (MOE/NIE-trained preferred
• Minimum 5‒8 years of Primary Science teaching experience.
• Proven track record of improving student outcomes. 
• Experience in curriculum development, mentoring, or academic leadership is advantageous. 
• Comfortable with weekend work and centre-based environment

If you are keen to apply, please send me your resume and job applied for on WhatsApp at 9789 3505 or email me at anabel.thesupreme@gmail.com (˶ᵔ ᵕ ᵔ˶)

❄️Anabel Boon Xue Qi | Recruitment Consultant (R25159272) |

Benefits Included:

Weekly salary disbursement

CPF contributions

Job Description:

Fixed 5.5 working days weekly

Flexibility to use your own bike or rent ours

No previous experience needed

Must possess a Class 2B licence

⚠️ Limited intake — act quickly!

- E

The Opportunity

The world of market research is changing fast, and so is Blackbox.

We are looking for a Research Manager (Insights Strategy and Innovation) to join our team at the intersection of human insights and technological evolution.

While you will be grounded in the fundamentals of high-quality research, this role is designed for a versatile professional who is energized by platform-based research models and the integration of AI and LLMs into the insights workflow. You will be responsible for ensuring the development of rigorous research, maintaining high-value client relationships, and driving quality delivery through both traditional and innovative execution.

A Week in the Life

This is a dynamic, hands-on role where you will span the entire research lifecycle. In any given week, you might find yourself:

• Co-designing complex discussion guides and questionnaires in a collaborative session with a client.
• Directly programming and testing interviews on our proprietary interactive platforms, such as Blackbox Dialogue.
• Analysing large datasets in Excel while utilising LLM tools to synthesize qualitative nuances at scale.
• Designing high-impact strategy decks in PowerPoint that translate data into clear business recommendations for your clients.
• Workshopping with our product developers to provide user feedback and optimise our next generation of research tools.
• Liaising with clients during kick-offs, reporting meetings, and in (many!) email exchanges.
• Contributing to sales and marketing efforts via proposal inputs, ideas for outbound outreach, and offering content for LinkedIn, Substack and our website.

Key Responsibilities

• Account & Project Management: Independently manage existing accounts, serving as a trusted point of contact to understand and deliver on client needs.
• Innovation & AI Integration: Actively use and advocate for AI/LLM tools to enhance personal productivity and contribute to the development of Blackbox’s proprietary solutions.
• Technical Rigor: Act as the bridge between strategy and operations. You will work closely with scripting teams (understanding logic in platforms like Forsta or Qualtrics), manage fieldwork vendors, and oversee the data processing phase (edit specs, table specs, and code frames).
• Analysis & Charting: Move beyond data entry to data storytelling. You will be responsible for charting, data visualization, and synthesizing information into reports that provide actionable value to clients.
• Strategic Reporting: Produce high-quality reports with actionable recommendations. You don't just report "what" happened; you explain "why" and "what’s next."
• Mentorship: Provide guidance and quality control for junior team members and interns, fostering a culture of precision and creativity.

Who You Are

We are looking for a candidate who is data-literate, tech-curious, and highly capable of multi-tasking across different workstreams.

• Experience: 4+ years of experience in market research, strategy consulting, policy analysis, or a related data-driven field.
  • We welcome applications from those outside the traditional market research industry (e.g., Management Consulting, Public Policy, or Business Intelligence) provided you possess strong analytical rigor and a passion for understanding human behavior.
• AI Proficiency: You are an "AI-native" professional, experienced in using LLMs and AI tools to streamline workflows and solve complex problems.
• Technical Familiarity: You should be comfortable with (or ready to master) research software (Forsta/Qualtrics), Excel for data management, and PowerPoint for storytelling. The ideal candidate will also have working knowledge of more advanced AI research tools.
• Communication: You have a proven track record in client management and the ability to synthesise complex information into clear, persuasive writing.
• Mindset: You are disciplined, self-motivated, and thrive in a fast-paced environment where you are expected to be both a thinker and a doer.

We are now seeking Passionate MOE & NIE Teachers / Tutors 

• Deliver lesson plans in accordance with standard academic curriculum
• Engage students to create interest in the subjects taught by utilizing the highest quality of teaching methods
• Ensure a conducing environment for students
• Monitor progress of students for coaching and feedback purposes
• Foster good and sincere relationship with parents and student
• MOE/IB/IGCSE/AEIS.......

Location: Tampines (near MRT)

• Attend to and evaluate referrals by renal physicians for live and deceased donor transplant; other restructured hospitals; and private hospitals in Singapore or otherwise (overseas referrals only apply to Live Donor Kidney Transplantations);
• Assist potential donors and recipients in the entire kidney transplant process, which includes providing counselling and conducting transplant workup for potential donors and recipients, as well as their family members who are considering live donor kidney transplant;
• Provide counselling to patients and their families for those patients with no overt contraindications and are considering deceased donor kidney transplants;
• Maintain close connections with all stakeholders and MOH officials pertaining to organ donation and transplantation;
• Assess patients’ suitability regularly to maintain suitable patients on the Kidney Transplant Waiting list, which involves scheduling laboratory investigations; tracing and documentation of results; scheduling appointments; and arranging clinic reviews;
• Evaluate and prepare a patient for deceased donor kidney transplant when he/ she has been selected for it;
• Attend ward rounds and clinic sessions where discussion regarding patients’ progress are held and assist in scheduling of investigations reflected in the kidney transplant protocol; and
• Provide discharge teaching to newly transplanted patients and assist in the follow-up care of complex post-kidney transplant patients.

Requirements

• Registered Nurse with a minimum of 5 years working experience preferred (post-basic qualifications in ICU nursing or OT would be an advantage); or a Bachelor’s degree in Psychology; Arts and Social Science majoring in Social Work; or Life Sciences;
• Minimum of 2 years’ relevant working experience, preferably in a healthcare setting;

Office hours, Mon to Fri

Up to $5.5K

Interested candidates, please forward your resume to kevynhuang@recruitexpress.com.sg

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

Location: NOVENA

Working Hours: Mon - Fri office hours

Job Description:

You will support the administrative functions of operations:

• Carry out administrative duties and leads/supports in QA/QI initiatives, tasks and projects as assigned

Requirements:
Min Diploma / Bachelor in any field

Interested candidate, kindly send a copy of your resume to

 adelinelim@recruitexpress.com.sg 

Adeline Lim Xin Ying [R23112000]

Email Address: adelinelim@recruitexpress.com.sg

Recruit Express Pte Ltd

EA Licence No: 99C4599

• Strong understanding in the Science & Math or English subject in teaching primary, secondary level.
• Planning activities and worksheets to develop student interest and classroom engagement for learning enjoyment
• Prepare teaching materials and marking student assignment
• Effective communicate to provide feedback to the parent on students’ progress
• Fostering curiosity, creativity and a lifelong enjoyment of Science learning

Requirements

• Familiar with MOE Primary/ Secondary School Science syllabus

Location: near Tampines MRT

Sales Engineer (Process Analytics)

Sector: Industrial / Engineering Sales
Employment Type: Permanent

This role focuses on business development and solution selling within the industrial sector. You will work with customers to understand their needs, present technical solutions, and grow long-term partnerships.

Key Responsibilities:

• Prospect and generate new business leads
• Build and maintain strong relationships with customers
• Conduct product demonstrations, seminars, and technical presentations
• Prepare sales proposals and negotiate contracts
• Achieve monthly and annual sales targets
• Meet weekly sales activity targets
• Collaborate with marketing on sales strategies and campaigns
• Monitor industry trends and provide market feedback
• Participate in trade shows and industry events

Requirements:
Degree in any of these courses can be considered :

• Engineering ( Mechanical / Electrical / Electronic )
• Biomedical Science /Life Science
• Lab related
  

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:
Whatsapp: https://wa.me/+6597430026  
Email : kimlow@recruitexpress.com.sg

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122
Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

At the Institute of High Performance Computing (IHPC), A*STAR, we drive innovation at the intersection of artificial intelligence and healthcare. Our mission is to build large language models (LLMs) and multimodal foundation models that can transform clinical decision support, biomedical discovery, and public health.

We are looking for AI talent at both Scientist and Engineer levels to join us. Whether you are a PhD-trained scientist pushing the frontiers of research, or an engineer with strong applied AI skills ready to build large-scale systems, you will contribute to innovations that make real impact in healthcare.

Key Responsibilities:

Research & Development

• Develop novel architectures, training strategies, and optimization methods for LLMs and multimodal foundation models.
• Advance instruction tuning, reinforcement learning (RLHF/GRPO), retrieval-augmented generation (RAG), and knowledge-grounded reasoning in medical AI.
• Design and implement multimodal learning pipelines that integrate text, imaging, omics, and real-world clinical data.

Translation & Collaboration

• Prototype AI systems for clinical and biomedical applications (e.g., decision support, conversational AI, population health, drug discovery).
• Benchmark models against state-of-the-art healthcare AI datasets and evaluation frameworks.
• Collaborate with industry and healthcare partners to enable translation, licensing, and commercialization.

Scientific Leadership

• Publish in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, AAAI, ACL) and high-impact biomedical journals (e.g., Nature Medicine).
• Contribute to open science initiatives (datasets, model releases, benchmarks).
• Secure funding through collaborative research proposals with academia, healthcare institutions, and industry.

Job Requirements:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
• Strong publication record in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL) or high-impact biomedical journals.
• Deep expertise in LLMs, foundation models, or multimodal AI.
• Strong skills in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed/HPC training.
• Experience in large-scale LLM and foundation model training and deployment.
• Experience with medical or biomedical data (EHR, clinical notes, imaging, genomics).
• Familiarity with biomedical ontologies and knowledge graphs (UMLS, SNOMED CT, PubMed).
• Understanding of AI ethics, safety, and regulatory considerations in healthcare.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

We are seeking a proactive and detail-oriented scientist to support antibody engineering and functional evaluation within our next-generation biologics immune engager platform. This role focuses on experimental execution, assay development and molecular prototyping, contributing to programs with strong translational and partnership potential.

Position Impact

These positions form part of the Antibody Technology core, driving institutional innovation in next-generation antibody and immune-engager platforms that underpin future co-development partnerships and spin-off opportunities. Successful candidates will play a vital role in transforming scientific concepts into translatable therapeutic asset.

Key Responsibilities

• Conduct molecular cloning, protein expression, purification, and analytical characterization of antibody immune-engager candidates.
  
• Perform and optimize cell-based functional assays to assess potency, signaling, and immune activation.
  
• Support mono-specific and multi-specific prototype generation, screening, and data collection to evaluate molecular performance and mechanism of action.
  
• Maintain accurate experimental records, perform quantitative analysis, and contribute to internal data reviews and reports.
  
• Collaborate closely with scientists and engineers across discovery, design, and assay teams to ensure quality and timely delivery of milestones.
  
• Uphold high laboratory and data standards, contributing to a rigorous and collaborative team environment.

Experience & Qualifications

• B.Sc. M.Sc. And PhD in Biological Sciences, Biochemistry, Immunology, or related field, with (minimum of 8 years Bsc, Msc 5 years, PhD, 3 years of relevant hands-on experience.
• Practical skills in molecular biology, mammalian cell culture, and immunoassays (ELISA, FACS, reporter, cytotoxicity).
• Experience with protein expression systems (transient or stable) and purification workflows preferred.
• Strong analytical mindset, attention to detail, and ability to troubleshoot experiments independently.
• Team player with good communication, adaptability, and eagerness to learn new technologies in a fast-paced translational research setting.
• Experience with automation systems, liquid-handling platforms, or high-throughput screening.
• Working knowledge of data analysis software (e.g., GraphPad, FlowJo, Python/R) for experimental interpretation.
• Familiarity with protein characterization techniques (SEC-MALS, BLI, SPR, HPLC).
• Understanding of immune-cell biology or cytokine signaling mechanisms.
• Strong initiative, reliability, and enthusiasm to contribute to high-impact discovery programs.
• Prior experience in computational modelling is an advantage.
  

At the Institute of High Performance Computing (IHPC), A*STAR, we drive innovation at the intersection of artificial intelligence and healthcare. Our mission is to build large language models (LLMs) and multimodal foundation models that can transform clinical decision support, biomedical discovery, and public health.

We are looking for AI talent at both Scientist and Engineer levels to join us. Whether you are a PhD-trained scientist pushing the frontiers of research, or an engineer with strong applied AI skills ready to build large-scale systems, you will contribute to innovations that make real impact in healthcare.

Key Responsibilities:

Research & Development

• Develop novel architectures, training strategies, and optimization methods for LLMs and multimodal foundation models.
• Advance instruction tuning, reinforcement learning (RLHF/GRPO), retrieval-augmented generation (RAG), and knowledge-grounded reasoning in medical AI.
• Design and implement multimodal learning pipelines that integrate text, imaging, omics, and real-world clinical data.

Translation & Collaboration

• Prototype AI systems for clinical and biomedical applications (e.g., decision support, conversational AI, population health, drug discovery).
• Benchmark models against state-of-the-art healthcare AI datasets and evaluation frameworks.
• Collaborate with industry and healthcare partners to enable translation, licensing, and commercialization.

Scientific Leadership

• Publish in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, AAAI, ACL) and high-impact biomedical journals (e.g., Nature Medicine).
• Contribute to open science initiatives (datasets, model releases, benchmarks).
• Secure funding through collaborative research proposals with academia, healthcare institutions, and industry.

Job Requirements:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields with atleast 5 years of relevant experience.
• Strong publication record in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL) or high-impact biomedical journals.
• Deep expertise in LLMs, foundation models, or multimodal AI.
• Strong skills in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed/HPC training.
• Experience in large-scale LLM and foundation model training and deployment.
• Experience with medical or biomedical data (EHR, clinical notes, imaging, genomics).
• Familiarity with biomedical ontologies and knowledge graphs (UMLS, SNOMED CT, PubMed).
• Understanding of AI ethics, safety, and regulatory considerations in healthcare.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

About Asimov
Asimov is Menlo's flagship open source humanoid robotics initiative. We are building every layer of the stack, from precision mechanical structures, injection molded plastics, and die cast components to actuators, sensors, control hardware, firmware, and AI.

The Role
As a Mechanical Engineer, you will own the conception, CAD modeling, and industrialization of humanoid components across the full body. You will translate early concepts into robust, production ready designs, guide prototype builds, and partner with suppliers to ramp tooling and volume manufacturing. This is a high ownership role where your design decisions will directly determine how Asimov moves, holds up, and scales.

What You'll Do

• Develop detailed 3D part and assembly models across plastics, sheet metal, die cast, and composite materials in CATIA or equivalent CAD tools.
• Drive rapid prototyping by overseeing 3D printing, CNC machining, and initial fit check assemblies, iterating quickly from concept to physical hardware.
• Perform tolerance studies, FEA, and kinematic simulations to validate stiffness, strength, and lifetime requirements across joints and structural members.
• Create accurate production drawings with GD&T annotations and critical inspection call outs for manufacturing and QA handoff.
• Conduct DFM reviews with contract manufacturers and tooling partners, refining designs for cost, cycle time, and quality at low to medium volume.
• Work alongside electrical, firmware, and validation teams to integrate mechanical systems with sensors, wiring harnesses, and PCBA enclosures.
• Define mechanical test protocols, analyze failure modes, and iterate designs based on test data and reliability metrics.
• Contribute to Menlo's open source design efforts, including CAD releases, manufacturing documentation, and build guides for the broader robotics community.

What You'll Bring

• 3 or more years of hands on mechanical design experience for high complexity electromechanical products.
• Expert proficiency in CATIA V5/V6, with strong ability to produce both detailed parts and multibody assemblies.
• Proven track record with plastic injection molding, sheet metal fabrication, and die casting processes.
• Solid understanding of GD&T and the ability to produce 2D engineering drawings for manufacturing and QA.
• Experience running FEA simulations across stress, thermal, and modal analyses, and interpreting results to inform design decisions.
• Ability to work within aggressive cost and weight constraints, making principled tradeoffs without sacrificing reliability.
• Strong communication skills to drive alignment across suppliers, cross disciplinary engineers, and leadership.

Bonus Points

• Experience with bipedal or humanoid robot hardware, legged locomotion platforms, or high DOF manipulators.
• Familiarity with parallel mechanisms and non standard joint configurations such as RSU ankle designs or parallel actuation.
• Knowledge of plastics engineering including material selection, shrinkage factors, and mechanical property optimization.
• Scripting or automation experience in Python to streamline CAD workflows and data analysis.
• Familiarity with MATLAB for system level modeling and tolerance stack ups.
• Hands on background with rapid iteration prototyping tools including 3D printers, laser cutters, and CNC mills.
• Prior involvement in robotics or wearable systems where mechanical tolerances and ergonomics are critical.
• Familiarity with CAN bus, motor controllers, and how mechanical design choices affect firmware and control integration.
• Familiarity with sim to real workflows and how hardware decisions affect locomotion policy training and transfer.

Why Join Menlo?
You’ll be part of a tight-knit team defining the next generation of humanoid robots. With genuine ownership of system architecture and the freedom to innovate, you’ll see your designs come to life in real-world deployments. If you thrive in fast-paced, open-collaborative environments, let’s build the future of robotics together.

About Asimov
Asimov is Menlo's open source humanoid robotics platform, building every layer from structural frames and electromechanical assemblies to power electronics, embedded control hardware, firmware, and AI. We also build Jan, our open source AI assistant used by millions of developers worldwide. Our goal is to democratize advanced robotics and AI by sharing designs, models, and infrastructure with the global community.

The Role
We are looking for a Platform Lead to own and evolve the full infrastructure stack that powers both our humanoid robotics fleet and our developer facing AI platform. This is a senior technical leadership role sitting at the intersection of distributed systems, high performance APIs, and production AI infrastructure. You will work directly with the founders and technical leadership to design systems that let hundreds of robots learn and act as one, while also enabling developers and partners to build on top of Menlo's intelligent platform. If you thrive on hard technical problems at massive scale and want genuine ownership over platform architecture, this role is for you.

What You'll Do

• Architect and scale distributed systems that handle petabytes of sensory, telemetry, and control data across cloud and edge environments, connecting fleets of robots in real time.
• Design and build the Menlo API Platform, delivering high reliability, world class developer experience, and production grade multimodal AI capabilities via intuitive APIs and SDKs.
• Build large scale training and inference platforms for multimodal foundation models powering robot autonomy, teleoperation, and developer integrations.
• Design data ingestion and streaming pipelines connecting robot fleets to the cloud in real time, covering video, LiDAR, joint states, and audio.
• Manage and evolve a modern cloud native infrastructure stack using Kubernetes, Docker, and infrastructure as code tooling.
• Ensure platform reliability through telemetry, monitoring, alerting, autoscaling, failover, and disaster recovery mechanisms.
• Lead infrastructure decisions spanning distributed storage, consensus protocols, GPU orchestration, network reliability, and API security.
• Collaborate across ML, robotics, and product teams to support hardware in the loop simulation, policy rollout, continuous learning, and CI/CD workflows.
• Implement secure APIs with fine grained access control, usage metering, rate limiting, and billing integration as we scale to serve millions of users.

What You'll Bring

• 7 or more years of professional software engineering experience with deep expertise in distributed systems, backend infrastructure, or data platforms.
• Proven ability to build and operate production grade systems handling massive scale and mission critical workloads.
• Proficiency in Go, Rust, C++, Python, or TypeScript, with strong fundamentals in concurrency, networking, and systems performance.
• Deep experience with cloud native architectures including Kubernetes, Docker, Helm, gRPC, Kafka, Ray, and service mesh technologies such as Istio or Linkerd.
• Strong understanding of API architecture and design patterns including REST, gRPC, WebSockets, OAuth2, and OpenAPI.
• Experience with databases spanning PostgreSQL, Redis, and modern vector databases such as Pinecone, Weaviate, or FAISS.
• Strong understanding of data consistency, replication, and fault tolerance across heterogeneous environments.
• Familiarity with observability tooling such as Prometheus, Grafana, Datadog, or OpenTelemetry applied to large scale production systems.

Bonus Points

• Experience building distributed training, large scale simulation, or fleet scale telemetry systems.
• Familiarity with real time robotics workloads including streaming from physical sensors and actuators.
• Experience with MLOps tools and AI workflows including model versioning, inference pipelines, and model registries.
• Knowledge of billing systems, quota enforcement, chargeback models, and multi tenant security and isolation.
• Prior experience on developer platforms or API products with a strong focus on developer UX and documentation.
• Contributions to open source infrastructure, AI frameworks, or robotics middleware such as ROS, gRPC, or Mediasoup.

Why Join Menlo? 
You will be part of a tight knit team defining the next generation of humanoid robots and open AI infrastructure. With genuine ownership over platform architecture and the freedom to make bold technical decisions, you will see your systems power real robots in real world deployments. If you thrive in fast paced, open collaborative environments and want to build infrastructure that actually matters, let's build the future of robotics together.

About Us

We are working on embodied intelligence. Our mission is to scale general-purpose autonomy for real world problems (the 3Ds), through large-scale learning, multi-modal data, and robust control.We are looking for passionate engineers and scientists who thrive at the intersection of machine learning, robotics, and systems engineering, and want to see their research come alive in real robots.

Role Overview

You will lead development of the algorithms and architectures that enable our robots to achieve stable, responsive, and life-like movement in challenging conditions. This role demands deep knowledge of physical systems, control mechanisms, and foundational AI model research. You will design learning systems that power whole-body locomotion and real-world manipulation.

Responsibilities

• Design and implement models, e.g. RL policies for whole-body locomotion, enabling robots to walk, dance, balance, and recover from disturbances
• Develop novel observation spaces, action representations, and reward functions grounded in fundamental robotics principles
• Create and refine control strategies for real-time execution
• Optimize and evaluate locomotion policies in both simulated environments and on Asimov, our open source, humanoid reference design
• Pioneer techniques to enhance sim-to-real transfer, bridging the gap between virtual testing and physical deployment
• Collaborate closely with simulation, hardware, and autonomy teams to ensure seamless integration of locomotion systems
• Deploy production-ready locomotion policies to our fleet of operational humanoid robots
• Contribute to the advancement of robotics research through publications and open-source contributions

Preferred Qualifications

• BS/MS/PhD in Robotics, AI/Computer Science, or related field
• Solid understanding of robotics fundamentals, including geometry, linear algebra, kinematics, dynamics, probability, and statistics 
• Experience working with robotic systems, ideally on legged robotic systems with high degrees of freedom
• Experience implementing control strategies including impedance control, adaptive control, force control, MPC on hardware preferred 
• Experience with sim2real techniques OR deep understanding of physics fundamentals
• Familiarity with Machine learning and Reinforcement Learning fundamentals OR strong background in optimization-based planning and control 

Bonus Skills

• Work on humanoid locomotion, manipulation, or whole-body coordination
• Prior open-source or research contributions in robotics, control, or deep learning

• Assist the clinical team with updating and maintaining clinical systems that track study & site compliance and performance within project timelines.
• Assist the clinical team in the preparation, handling, distribution, filing, and archiving of clinical documentation and reports.
• Assist with periodic review of study files for accuracy and completeness and to support with project related filing.
• Assist with the tracking and management of Case Report Forms (CRFs), queries, and clinical dataflow.
• Assist in handling the project-related administrative matters, such as preparation for regulatory submissions, safety report handling, and other logistic issues.
• Assist with Project finance related activities including project expenses invoice preparation and tracking as well as site payment invoice review, preparation and tracking.
• Act as a central contact for the clinical team for designated project communications, correspondence, and associated documentation including communication with sponsor and vendors as delegated.
• Support any other project related tasks as assigned.

Requirements

• Min Degree in any science courses
• Some working experience / internship in clinical research organization or as clinical research coordinator in hospital

Up to $3.5K

Interested candidates, please forward your resume to kevynhuang@recruitexpress.com.sg

Consultant: Huang Jingsheng Kevyn (R1333338)
Recruit Express Pte Ltd (99C4599)

About Us
We are working on embodied intelligence. Our mission is to scale general-purpose autonomy for real world problems (the 3Ds), through large-scale learning, multi-modal data, and robust control. We are looking for passionate engineers and scientists who thrive at the intersection of machine learning, robotics, and systems engineering, and want to see their research come alive in real robots.

Role Overview
You will lead development of the algorithms and architectures that enable our robots to interact with and reason about the physical world. This role bridges world model research, embodied AI, and real-time robotics. You will engineer models and learning systems that power robotic agents through real world jobs.

Responsibilities

• Train and adapt large-scale VLA & VLMs that predict multi-modal futures (video, proprioception, audio, actions)
• Develop systems for cross-modal grounding, enabling robots to interpret sensor data in context and build coherent world models
• Enable temporal reasoning and goal-directed behavior through hierarchical task decomposition and meta-reasoning
• Support human-robot interaction by recognizing intentions, interpreting social cues, and enabling collaborative workflows
• Deploy models into real-time humanoid and mobile robots
• Evaluate and scale pipelines to measure generalization and safety
• Collaborate with locomotion, simulation and hardware teams to bridge sim-to-real transfer
• Publish and open source datasets, models, papers in parallel

Preferred Qualifications

• BS/MS/PhD in Robotics, AI/Computer Science, or related field
• Proficiency in Python and C++, and deep learning frameworks (PyTorch / JAX)
• Deep experience in GenAI, RL/IL, control, or multimodal learning
• Understanding of scaling laws, evaluation metrics, and scaling training for large models
• Familiarity with real-robot systems, sensing, and embedded control integration
• Familiarity with industry SOTA and latest research, e.g. Gr00t, Pi0, etc

Bonus Skills

• Experience with transformer-based control policies or diffusion policy learning.
• Work on humanoid locomotion, manipulation, or whole-body coordination.
• Prior open-source or research contributions in robotics, control, or deep learning.

About Asimov
Asimov is our open‐source humanoid robotics platform, building every layer—from structural frames and electromechanical assemblies to power electronics, cabling, and embedded control hardware. We aim to democratize advanced robotics by sharing designs, firmware, and ML models with the global community. 

The Role
We’re looking for a Distributed Systems Engineer to architect and scale the infrastructure that powers fleets of humanoid robots operating across the world. You will work across the full stack of robotics infrastructure, from low-latency streaming and cloud simulation to large-scale training and telemetry pipelines. You’ll work directly with the founders and technical leadership to design the systems that let hundreds of robots learn, share, and act as one.

What You’ll Do

• Architect and scale distributed systems that handle petabytes of sensory, telemetry, and control data across cloud and edge environments.
• Design data ingestion and streaming pipelines connecting fleets of robots to the cloud in real time (video, LiDAR, joint states, audio).
• Build large-scale training and inference platforms for multimodal foundation models powering robot autonomy and teleoperation.
• Collaborate with ML and Robotics engineers to support hardware-in-the-loop simulation, policy rollout, and continuous learning.
• Develop internal observability systems for fleet monitoring, reliability, and performance tuning.
• Lead infrastructure decisions — from distributed storage and consensus protocols to GPU orchestration and network reliability.

What You’ll Bring

• 7+ years of professional software engineering experience, with deep expertise in distributed systems, networking, or data infrastructure.
• Proven ability to build and operate production-grade distributed systems handling massive scale and mission-critical workloads.
• Proficiency in Go, Rust, C++, or Python, with strong fundamentals in concurrency, networking, and systems performance.
• Experience with cloud-native architectures (Kubernetes, gRPC, Kafka, S3, Ray, or similar frameworks).
• Strong understanding of data consistency, replication, and fault tolerance across heterogeneous environments.
• Experience with GPU-based workloads, model training, or edge compute orchestration is a strong plus.
• Excellent analytical skills and a bias toward building fast, measurable, and reliable systems.

Bonus Points

• Experience building distributed training or large-scale simulation systems.
• Familiarity with real-time robotics workloads, including streaming from physical sensors and actuators.
• Prior work with telemetry, observability, or fleet-scale systems in production.
• Contributions to open-source infrastructure, AI frameworks, or robotics middleware (ROS, gRPC, Mediasoup, etc.).

Why Join Menlo?
You’ll be part of a tight-knit team defining the next generation of humanoid robots. With genuine ownership of system architecture and the freedom to innovate, you’ll see your designs come to life in real-world deployments. If you thrive in fast-paced, open-collaborative environments, let’s build the future of robotics together.

About Us

At the Institute of High Performance Computing (IHPC), A*STAR, we drive innovation at the intersection of artificial intelligence and healthcare. Our mission is to build large language models (LLMs), agentic AI and multimodal foundation models that can transform clinical decision support, biomedical discovery, and public health. We are looking for AI Scientist strong applied AI skills ready to build large-scale systems, and you will contribute to innovations that make real impact in healthcare.

Key Responsibilities

Research & Development

• Develop novel architectures, training strategies, and optimization methods for LLMs, agentic AI, vision foundation model and multimodal foundation models.
• Advance instruction tuning, reinforcement learning (RLHF/GRPO), retrieval-augmented generation (RAG), and knowledge-grounded reasoning in medical AI.
• Design and implement multimodal learning pipelines that integrate text, imaging, omics, and real-world clinical data.

Translation & Collaboration

• Prototype AI systems for clinical and biomedical applications (e.g., decision support, conversational AI, population health, drug discovery).
• Benchmark models against state-of-the-art healthcare AI datasets and evaluation frameworks.
• Collaborate with industry and healthcare partners to enable translation, licensing, and commercialization.

Scientific Leadership

• Publish in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, AAAI, ACL) and high-impact biomedical journals (e.g., Nature Medicine).
• Contribute to open science initiatives (datasets, model releases, benchmarks).
• Secure funding through collaborative research proposals with academia, healthcare institutions, and industry.

What We Offer

• Opportunity to push the frontiers of AI research while delivering real-world healthcare impact.
• A multidisciplinary environment with leading AI scientists, clinicians, and industry partners.
• Access to large-scale compute resources and unique biomedical datasets.
• Support for publications, conference participation, and translational pathways including licensing and spin-offs.

Qualifications

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
• Strong publication record in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL) or high-impact biomedical journals.
• Deep expertise in LLMs, vision foundation models, or multimodal AI.
• Strong skills in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed/HPC training.
• Experience in large-scale LLM and/or foundation model training and deployment.
• Experience with medical or biomedical data (EHR, clinical notes, imaging, genomics).
• Familiarity with biomedical ontologies and knowledge graphs (UMLS, SNOMED CT, PubMed).
• Understanding of AI ethics, safety, and regulatory considerations in healthcare.
• Opportunity to push the frontiers of AI research while delivering real-world healthcare impact.
• A multidisciplinary environment with leading AI scientists, clinicians, and industry partners.
• Access to large-scale compute resources and unique biomedical datasets.
• Support for publications, conference participation, and translational pathways including licensing and spin-offs.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

We are looking for highly motivated and talented researchers to join our interdisciplinary team working on advanced modelling of complex large-scale urban systems, with a particular focus on land use, transport, and the built environment.

This role will involve developing, applying, and refining computational models to better understand urban dynamics, including how land use and transportation interact with the physical, social, and economic environment.

They will work with a collaborative and interdisciplinary team of scientists and engineers that have a passion in understanding the dynamics of large-scale socio-technical systems such as urban transportation (either land, air and/or sea) as well as the relationship between the built environment and social outcomes (such as health or behavioural outcomes across different population segments).

Shortlisted candidates would have the opportunity to work with various external collaborators, either from government and/or industry and work on high-impact real-world research problems, in which they will apply various computational tools such as modelling and simulation and AI to derive insights that can inform urban policy and planning.

Job Requirements:

• PhD in Physics, Engineering, Data Science, Geography, or related fields.
• Proficiency in Python or R with experience in geospatial and/or statistical packages.

Relevant research/project experience in either of these fields:

• Spatial analysis / Geospatial information system (GIS).
• Transportation and urban systems.
• Agent-based modelling / network analysis.
• Demonstrated experience in applying geospatial and/or statistical analysis or other relevant analytics tools on real urban problems would be highly desirable.
• Experience working on large scale real-world datasets as well as knowledge of social dimension in urban planning would also be a plus.
• Good written and verbal communication skills.
• Ability to work effectively in an interdisciplinary research environment both individually as well as in a team, with a strong interest in collaborative research and policy impact.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

We are looking for highly motivated and talented researchers to join our interdisciplinary team working on advanced modelling of complex large-scale urban systems, with a particular focus on land use, transport, and the built environment.

This role will involve developing, applying, and refining computational models to better understand urban dynamics, including how land use and transportation interact with the physical, social, and economic environment.

They will work with a collaborative and interdisciplinary team of scientists and engineers that have a passion in understanding the dynamics of large-scale socio-technical systems such as urban transportation (either land, air and/or sea) as well as the relationship between the built environment and social outcomes (such as health or behavioural outcomes across different population segments).

Shortlisted candidates would have the opportunity to work with various external collaborators, either from government and/or industry and work on high-impact real-world research problems, in which they will apply various computational tools such as modelling and simulation and AI to derive insights that can inform urban policy and planning.

Job Requirements:

• PhD in Physics, Engineering, Data Science, Geography, or related fields with at least 3 years of relevant experience.
• Proficiency in Python or R with experience in geospatial and/or statistical packages.

Relevant research/project experience in either of these fields:

• Spatial analysis / Geospatial information system (GIS).
• Transportation and urban systems.
• Agent-based modelling / network analysis.
• Demonstrated experience in applying geospatial and/or statistical analysis or other relevant analytics tools on real urban problems would be highly desirable.
• Experience working on large scale real-world datasets as well as knowledge of social dimension in urban planning would also be a plus.
• Good written and verbal communication skills.
• Ability to work effectively in an interdisciplinary research environment both individually as well as in a team, with a strong interest in collaborative research and policy impact.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.