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An internship position for a student with mechanical background to obtain training in prototype fabrication, overseeing project management and execution, assisting with operation of equipment, development of risk assessments, safe work procedures, method statements and technical documentation, troubleshooting the operations.
Intern’s duties include:
• To perform mechanical engineering activities to design, fabricate, develop and verify product characteristics prior to manufacturing in high volume, in a cost and time effective manner.
• To create technical specifications and collaborate with fabrication team to ensure the parts are meeting specification and function as intended.
• Resolve product quality issues arising from production or operation by working closely with team members.
• Support mechanical testing and create technical report.
Requirements for the intern:
• Pursuing Diploma from a Poly or Bachelor or Master’s degree from University in Mechanical Engineering in Singapore.
• Has hands-on experience with metal works (cutting, grinding, drilling, etc.).
• Proficient with MS Office.
• Strong verbal and written communication skills.
• Good analytical and problem-solving skills.
• Proficient in 3D CAD software.
• Able to follow Workplace Safety and Health regulations. Having safety training certificates is an advantage.
• Fit to wear dust mask/gas respirator.
Workplace location: Tuas
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TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
About the Team
The E-commerce Global Supply Chain and Logistics team is dedicated to enhancing clients' shopping experience and reducing logistics operational cost in TikTok E-commerce. We are currently looking for talented software engineers that have a deep understanding of machine learning (ML), operations research (OR), data mining and statistical inference.
You'll work on:
- Build global logistic and warehousing network, improve operations efficiency and reduce operational cost with data analysis, machine learning and operation research methods.
- Create supply chain's data portrait and knowledge graph in various dimensions such as vendors, commodity, place of origin, inventory, production capacity and quality of fulfillment, etc. Establish data-driven control-adjustment methods that enhance operational outcomes and user experience.
- Highlight global e-commerce trends to optimize e-commerce commodity supplies, forecast commodity demand, recommend vendor stocking and enhance production capacity.
Role and Responsibilities:
- We are seeking a motivated professional role to participate in the construction of the smart supply chain, mostly for business-oriented data mining and continuous algorithm iteration.
- The individual must be analytical enough to understand the underlying logic of the e-commerce supply chain, yet creative enough to see improvement opportunities in warehouse layout optimization, warehouse inbound and outbound logistics optimization, vehicle routing problem, inventory stocking & inventory allocation planning.
- The successful candidate will be required to build the optimization model and design the algorithm to support decision optimization. The position requires strong communication skills to work with customers, understanding their business problems, present results, and partner with Operations and R&D teams throughout the engagement and implementation.
Qualifications
- Major in computer/automation/statistics/mathematics/logistics/operations research, master degree or above; more than 2 years experience in machine learning, data mining and other related fields.
- Coding experience in solving LP/ IP problems using Gurobi, CPLEX, SCIP, ORTools and languages in Python/Go/Java/C++. Being proficient in basic data structures and algorithms.
- Machine learning, data analytics and feature engineering experience and skills.
- Being self-driven, understanding the underlying logic of the business, adapting to rapid business changes
- Good communication skills and courage to change business.
Nice if you are:
- Experience in the application of logistics-related algorithms in the field of e-commerce, optimization experience in large-scale operations research problems, being familiar with various heuristic algorithms;
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Official account of Jobstore.
The Senior Research Engineer are expected to think critically and creatively in applying artificial intelligence knowledge to design and develop innovative algorithms, systems and solutions. He/She will work closely with other researchers in the design new technology solutions as well as to complement existing technology areas. With strong research background and analytical skills, the Research engineers are expected to apply research results to developing cutting-edge technologies critical to our client’s vision of being a world-class leader in audio AI research and innovation.
Responsibilities:
Relevant Qualifications and Experiences
The above information on this description has been designed to indicate the general nature, and level, of the work performed by this position. It is not designed to contain, or be interpreted, as a comprehensive inventory of all duties, responsibilities and qualifications required.
Interested candidates may also apply or write in to CS Chua, EA 12C6130/ R1548619 cschua@hpspartners.com.sg. Shortlisted candidates will be contacted for a discussion.
Official account of Jobstore.
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.
About TnS-Live-Algo Team
Our algorithm team is responsible for developing state-of-the-art computer vision and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related local regulations. With the continuous efforts from our team, TikTok Livestream is able to provide the best user experience and bring joy to everyone in the world.
Job Description
We are looking for a highly self-motivated research engineer to join our algo team in Singapore. In our team, you will have the opportunity to participate in the development of the cutting-edge content understanding model to help improve the recognition ability of violated content in TikTok Livestream, and will also be responsible for optimizing our distributed model training framework continuously. The ideal candidate should be experienced in building a computer vision model or multimodality model and have a very strong coding ability in Pytorch/Tensorflow
Responsibilities
- Develop computer vision model or multimodality model to recognize violation content in TikTok Livestream
- Explore cutting-edge multimodal or computer vision large models (CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G, ViT-22B, EVA-enormous, etc)
- Explore the application of LLM in our business scenarios, like pre-training, zero-shot/ few-shot learning, hard case mining, etc
- Continuously optimize the training framework to better adapt to the training of large models
Qualifications
1. Major in computer science or a related technical discipline
2. At least 1-3 years of experience in at least one of the following areas: computer vision, multimodality, LLM
3. Be proficient with at least one deep learning framework (e.g. PyTorch, TensorFlow)
4. Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills
5. Published papers in the top AI conferences or journals is a plus, including CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, IJCV, etc
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Official account of Jobstore.
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
The Global Staff Learning Platform Engineer will be responsible for developing and maintaining any code associated with integrations between Learning Platforms including but not limited to the learning management system (LMS), lab platforms, curriculum and lab publishing, and productivity tools. The Staff Learning Platform Engineer will build relationships with stakeholders within Learning & Enablement (L&E) to automate manual processes and ensure the most efficient and effective systems are available to create effective training for our customers. This role will collaborate with cross functional stakeholders and external platform vendors, define business requirements, architect, create, and maintain the code base for any automations, and continuously seek to improve the user experience for any customers using said automations.
The impact you will have:
The impact you will have:
Official account of Jobstore.
Embedded Systems Research Engineer
Location: Reading (Hybrid Working)
Are you an experienced Embedded systems engineer? Do you have an inquisitive and technical problem-solving mind? Would you like to work in a supportive environment? Got your interest, then look no further…
Our Opportunity
We have an exciting opportunity in our Research, Technology and Innovation (RTI) business. The RTI function is at the centre of Thales UK supporting growth in all of the key market areas, and spearheading activity into future markets identified as growth opportunities. Due to a rapid period of growth we are looking to add an Embedded Systems Research Engineer to the team.
The successful candidate will carry out low to mid Technology readiness level (TRL) research and development activities for potential future products, in embedded software, for both civil and military communications applications.
As an Embedded Systems Research Engineer you will:
Be expected to work within a group of other research staff, as well as being self-motivated to work individually, and be flexible to adapt into new research areas and ways of working. Tasks are expected to include:
Development of embedded C / C++
Development of test scripts
Building and evaluating proof-of-concept demonstrators and prototypes
Integration with hardware
Software and System Testing
About You
The ability to listen to customers, interpret their needs, seek clarification and reach agreement, with a view to developing long lasting relationships.
The ability to present and explain complex technical issues to management, colleagues and customers.
The willingness and ability to work collaboratively as part of a team, whilst taking responsibility for individual tasks.
The ability to analyse complex technical problems, exercise judgement and offer innovative, practical and compliant solutions in a timely manner.
The ability to prioritise, manage the workload, be flexible, and work under pressure to demanding timescales
The ability and willingness to continue to learn and develop technical skills, assisting others to do likewise where appropriate
A balance of creative thinking/problem-solving with good engineering practice
Skills:
The successful candidate will have a good level of understanding of embedded C and/or C++, as well as some of the following skills:
Python or similar scripting language
Real-Time embedded applications
Experience with real-time OS (e.g. FreeRTOS etc.)
Embedded Linux OS Development (e.g. Buildroot, Yocto, Driver Development etc.)
Linux application development
Arm Processors
Hypervisors / Containers
Android application development
MISRA / CERT C development practices
Whilst we have listed these skills, the successful candidate must be flexible to move to new opportunities as business objectives and workload dictate.
Qualifications/Experience:
The ideal applicant would have several years of experience working with embedded software. However, the roles and responsibilities can be adjusted to fit, and a successful candidate will be supported to develop further.
The successful candidate will typically have a fundamental technical understanding built on an Honours degree (minimum 2.1), a Master’s degree, or a PhD in a relevant discipline.
We also expect candidates to be proficient in the use of standard PC-based office tools. We currently use Microsoft tools: Windows, Word, Excel, PowerPoint, Project & Visio.
Desirable:
Experience in one or more of the following areas:
Software Defined Radio
Mobile application development
Safety certification (e.g. Avionic or Automotive)
Security certification (e.g. Common Criteria)
Hardware debug and test
Knowledge and experience in related areas, such as VHDL, firmware or electronic hardware, would be an advantage.
Membership of a professional institution and professional engineering registration
Security Clearance statement
This role requires SC level security clearance without caveats/restrictions (Either current or ability to gain full clearance is essential). For more information and guidance, please visit the UKSV website.
What We Can Offer
We’re committed to giving you opportunities to be your best. We believe in embracing the passion and potential of our people, and to achieve this we offer market leading training, development and experiences, along with the opportunity to be mentored and coached by some of the smartest minds in the industry. We hire from within as our first priority, so you’ll have a myriad of opportunities within our diverse, global organisation.
Flexibility:
Your health and well-being matter to us and that’s why we offer you the flexibility to do what’s important to you; whether that’s part time hours, job sharing, hybrid working, or the ability to flex your start and finish times. Where possible, we support a working pattern that suits your lifestyle and helps you reach your ambitions.
Benefits at Thales:
Alongside a competitive base salary, we offer a variable compensation plan bonus and benefits package, which includes;
Thales is an equal opportunities employer and diversity and inclusion are integral to the success of Thales.
#LI-RS1
In line with Thales' Baseline Security requirements, candidates will be asked to provide evidence of identity, eligibility to work in the UK and employment and/or education history for up to three years. Some vacancies may require full Security Clearance which can require further evidence to be provided. For further details of the evidence required to apply for Baseline and Security Clearance please refer to the Defence Business Services National Security Vetting (DBS NSV) Agency.
At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working.
Thales UK is committed to providing an inclusive and barrier-free recruitment process. We will provide reasonable adjustments and support to ensure neuro-diverse applicants or those with a disability or long-term condition can be their best during the recruitment process. To request an adjustment, if you need this job advert in an alternative format or if you have any questions about the recruitment process, please contact Resourcing Ops for mid to senior roles, or the Early Careers Team for graduate and apprentice roles.
Great journeys start here, apply now!
Official account of Jobstore.
Responsibilities:
· Manage design planning and achievement of design/verification reviews
· Deliver TC&IS engineering outputs and ensure compliance with commitments
· Manage interfaces with subsystems and ensure standardization
· Support industrial areas during assembly and commissioning/validation during testing
· Ensure proper management of cybersecurity requirements
· Functionally manage Train Control & IS resources
· Formulate design solutions and maximize reuse of design patterns
· Monitor and control work packages and ensure reporting activities
· Define applicable TCMS configuration with relevant stakeholders
· Contribute to knowledge sharing and technical expertise
· Support stakeholders in understanding cybersecurity processes
· Responsible for transverse cybersecurity actions at project and management levels
Requirements:
• Minimally 5 years of experience in Rolling stock functional engineer experiences on several train functions
• Hands-on electrical and schematic design activity.
• Work package and Team management experiences
• Hands-on experience in design & development of model based control systems using application tools - DCUTerm, Control Build, Matlab / Simulink, Matrix or similar tools.
• Good knowledge of network topologies and interfaces for Serial, Ethernet, MVB and other industrial communication network.
Official account of Jobstore.
Job Description
Our client is focusing on R&D activities which are the development of new RO chemical product, water reuse technologies and membrane related products.
They are looking for highly motivated candidates with relevant training and expertise in water treatment process and technology
Roles & Responsibilities
-Water samples and membrane foulant analysis by using advanced analysis equipment, such as TOC, LC-OCD, SEM-EDX, UV, etc.
-Work with team to ensure all lab equipment calibrations and inspections are up to date
-Control, monitor, and maintain the equipment and treatment processes in on-site pilot plant
-Analysis & update experimental results
-Assist in optimization of operation treatment as well as identifying the area for improvement.
-Technical report preparation
-Work with the team to help generate relevant SOPs (standard operating procedures)
-Ensure good housekeeping in the laboratory and pilot plant and be responsible for the safety and environmental compliance of the new processes.
-Work with team to source, develop and apply new treatment methods /processes /technologies
Job Requirement
-Bachelor's degree (or above) in Chemistry / Chemical/ environmental/material Engineering or other equivalent;
-1 years of relevant work experience preferred, no experience welcome
-Strong communication skills in both oral and written English
-Have enthusiasm for R&D work
-Self-motivated, able to work independently and with a team to completion of a task
Interested applicants pls send in a copy of your resume with your current, expected salaries and availability in Microsoft Word format to Low See Wei (R1551122) for immediate processing.
Kindly indicate in your email subject title as "Job Application for 18959 Research Engineer/Assistant Research Engineer (Water Treatment, West Area) SW228"
Only shortlisted candidates will be notified, other applications will be updated to our database for future job opportunities
Thank you.
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Please find Privacy Policy Agreement from the below link.
http://www.pasona.com.sg/privacy.html
Official account of Jobstore.
Location: West
Position: Research Engineer (Water Industry/West)(18959)
Job Description
Job Requirement
Interested applicants please send your resume to Calista (R22104418) with email subject header "Job Application for [Research Engineer (Water Industry/West)(18959)]".
We regret that only shortlisted candidates will be notified. Other applications will be updated to our database for future job opportunities.
By submitting any resumes or applications to Pasona Singapore Pte Ltd, you are considered to have read and agreed on the terms of our Privacy Policy, and consented to us collecting, using, retaining, disclosing your personal information to the prospective employers for their consideration.
Effective from 1 October 2020 under the new Employment Agencies (EAs) Licence Conditions,
EAs will be required to collect the personal data (e.g. NRIC number number for overseas candidates) of applicants referred to employers for permanent or contract job positions of at least six months with a fixed monthly salary of S$3,300 and above.
PDPA requirements on collection, use, and disclosure of personal data would not be applicable to EAs that are collecting such information as it is a regulatory requirement by Ministry of Manpower.
Please find Privacy Policy Agreement from the below link.
http://www.pasona.com.sg/privacy.html
Koh Siew Xing
EA Registration No: R22104418
Pasona Singapore Pte. Ltd.
EA License No:90C4069
Official account of Jobstore.
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Why Join Us
At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.
About TnS-Live-Algo Team
Our algorithm team is responsible for developing state-of-the-art computer vision and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related local regulations. With the continuous efforts from our team, TikTok Livestream is able to provide the best user experience and bring joy to everyone in the world.
Job Description
We are looking for a highly self-motivated research engineer to join our algo team in Singapore. In our team, you will have the opportunity to participate in the development of the cutting-edge content understanding model to help improve the recognition ability of violated content in TikTok Livestream, and will also be responsible for optimizing our distributed model training framework continuously. The ideal candidate should be experienced in building a computer vision model or multimodality model and have a very strong coding ability in Pytorch/Tensorflow
Responsibilities
- Develop computer vision model or multimodality model to recognize violation content in TikTok Livestream
- Explore cutting-edge multimodal or computer vision large models (CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G, ViT-22B, EVA-enormous, etc)
- Explore the application of LLM in our business scenarios, like pre-training, zero-shot/ few-shot learning, hard case mining, etc
- Continuously optimize the training framework to better adapt to the training of large models
Qualifications
1. Major in computer science or a related technical discipline
2. At least 3 years of experience in at least one of the following areas: computer vision, multimodality, LLM
3. Be proficient with at least one deep learning framework (e.g. PyTorch, TensorFlow)
4. Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills
5. Published papers in the top AI conferences or journals is a plus, including CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, IJCV, etc
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Official account of Jobstore.
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
About the Team
The E-commerce Global Supply Chain and Logistics team is dedicated to enhancing clients' shopping experience and reducing logistics operational cost in TikTok E-commerce. We are currently looking for talented software engineers that have a deep understanding of machine learning (ML), operations research (OR), data mining and statistical inference. This position can be fulfilled in our Singapore offices.
Responsibilities
- Build deep learning and statistical models to provide end-to-end estimated time of arrival (ETA) prediction for the e-commerce logistics. Through fine adjustment of ETA expression to the consumers, improve the click-to-order rate while balancing the negative review indicators.
- Use data mining tools to build logistics network knowledge graphs, based on which to construct a situational awareness & early warning system for logistics fulfillment, enabling operations to discover and deal with logistics network anomalies, and to improve the logistics fulfillment quality together with logistics service providers.
- Analyze and predict the spatio-temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods. This trajectory prediction can help to build a better understanding of logistics network dynamics, improve ETA prediction accuracy and provide important sample features for other prediction tasks.
- Build a service network design (SND) model for the location selection of transshipment centers and last mile stations based on an expected increase in logistics order volume.
- Collaborate with stakeholders to design and iterate strategies and models for predicting logistics events at the order level, including false shipments, user complaints, failed deliveries, false dispatching, negative reviews, and more.
- Drive the implementation of algorithmic models and ensure they generate tangible business value, such as logistics cost savings, GMV (Gross Merchandise Value) growth, and improved service levels.
- Develop innovative and state-of-the-art e-commerce logistics models and algorithms
- Support the production of scalable and optimised AI/machine learning (ML) models
- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models
- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process
- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm
- Work with the relevant software platforms in which the models are deployed
Qualifications
- Master's or PhD degree in Computer Science, Engineering, Operations Research or related fields.
- Strong in data structures and algorithms, with excellent problem-solving ability and programming skills
- Experience in applied machine learning, familiar with one or more algorithms such as Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks etc.
- Experience with at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch).
Preferred Qualifications
- Work experience in e-commerce, supply chain, logistics, transportation or related fields is preferred.
- Publications at KDD、NeurIPS、WWW、SIGIR、WSDM、CIKM、ICLR、ICML、IJCAI、AAAI and related conferences.
- 3+ years of working experience in machine learning, operations research or big data analysis.
- Minimum of 1 year of relevant work experience, including but not limited to personalized recommendation/search, online advertising, natural language processing, supply chain management, or logistics optimization.
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Official account of Jobstore.
TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
About the Team
The E-commerce Global Supply Chain and Logistics team is dedicated to enhancing clients' shopping experience and reducing logistics operational cost in TikTok E-commerce. We are currently looking for talented software engineers that have a deep understanding of machine learning (ML), operations research (OR), data mining and statistical inference. This position can be fulfilled in our Singapore offices.
Responsibilities
- Build deep learning and statistical models to provide end-to-end estimated time of arrival (ETA) prediction for the e-commerce logistics. Through fine adjustment of ETA expression to the consumers, improve the click-to-order rate while balancing the negative review indicators.
- Use data mining tools to build logistics network knowledge graphs, based on which to construct a situational awareness & early warning system for logistics fulfillment, enabling operations to discover and deal with logistics network anomalies, and to improve the logistics fulfillment quality together with logistics service providers.
- Analyze and predict the spatio-temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods. This trajectory prediction can help to build a better understanding of logistics network dynamics, improve ETA prediction accuracy and provide important sample features for other prediction tasks.
- Build a service network design (SND) model for the location selection of transshipment centers and last mile stations based on an expected increase in logistics order volume.
- Collaborate with stakeholders to design and iterate strategies and models for predicting logistics events at the order level, including false shipments, user complaints, failed deliveries, false dispatching, negative reviews, and more.
- Drive the implementation of algorithmic models and ensure they generate tangible business value, such as logistics cost savings, GMV (Gross Merchandise Value) growth, and improved service levels.
- Develop innovative and state-of-the-art e-commerce logistics models and algorithms
- Support the production of scalable and optimised AI/machine learning (ML) models
- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models
- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process
- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm
- Work with the relevant software platforms in which the models are deployed
Qualifications
- Master's or PhD degree in Computer Science, Engineering, Operations Research or related fields.
- Strong in data structures and algorithms, with excellent problem-solving ability and programming skills
- Experience in applied machine learning, familiar with one or more algorithms such as Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks etc.
- Experience with at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch).
Preferred Qualifications
- Work experience in e-commerce, supply chain, logistics, transportation or related fields is preferred.
- Publications at KDD、NeurIPS、WWW、SIGIR、WSDM、CIKM、ICLR、ICML、IJCAI、AAAI and related conferences.
- Working experience in machine learning, operations research or big data analysis.
- Minimum of 1 year of relevant work experience, including but not limited to personalized recommendation/search, online advertising, natural language processing, supply chain management, or logistics optimization.
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Official account of Jobstore.
TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
About the Team
Relying on TikTok's global e-commerce scene, the team is committed to optimizing TikTok’s global e-commerce logistics fulfillment services through technologies such as machine learning, deep learning, and operational research optimization. Externally, it provides cheap, fast, high-quality logistics services that meet different needs for global consumers and merchants; internally, it builds an intelligent logistics system to save costs, save time, improve efficiency, and improve stability for the fulfillment of orders.
The intelligent logistics system includes: warehouse location problem, logistics network, wave planning, intelligent order allocation, order fulfilment time forecast, order combination , etc; at the same time, the team will also conduct in-depth exploration in some non-traditional business directions, such as users expect delivery time prediction, cash-on-delivery order risk control, packaging material recommendation, etc. Through the in-depth iteration of traditional business and non-traditional business, build a smart logistics system to achieve the ultimate goal of reducing costs, increasing efficiency, and improving user experience.
We are looking for talented individuals to join us in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities
- Responsible for the developing of deep learning models and related intelligent systems for the supply chain and logistics of international E-Commerce business.
- Participate in the process of optimizing the business results by using some of the following techniques: computer vision, natural language processing, sales prediction, time-series, geo-coding, etc..
- Keep track of cutting-edge technologies in the fields of computer vision, natural language processing and multi-modal machine learning; make use of these technologies to optimize the results in tasks such as fine-grained product style analysis, product similarity analysis and product attribute recognition, etc.
- Support the production of scalable and optimised AI/machine learning (ML) models
- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models
- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process
- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm
- Work with the relevant software platforms in which the models are deployed
Qualifications
- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline
- Have in-depth study in a certain field of natural language processing or computer vision, including but not limited to: image/video classification and recognition, image segmentation, object detection, OCR, graph neural network, text classification, NER, multimodal, unsupervised and self-supervised learning;
- Familiar with at least one framework of TensorFlow / PyTorch / MXNet and its training and deployment details, as well as the training acceleration methods such as mixed precision training and distributed training;
- Familiar with the latest research and technology in model compression acceleration, including but not limited to model quantization, pruning, knowledge distillation, as well as inference frameworks such as TensorRT;
- Have strong practical ability, winners in Kaggle, COCO, ImageNet, NOI/IOI and other competitions are preferred, and those who have papers published in relevant competitions and top academic conferences (such as CVPR, ICCV, ECCV, ACL, EMNLP, etc.) are preferred as well;
- Familiar with AutoML related algorithms, preferably with experience in automatic search of network structure or hyper parameters;
- Familiar with big data related frameworks and application, those who are familiar with MR or Spark are preferred
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com.
Official account of Jobstore.
About Tiktok
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.
About the Team
Our team's mission is to empower TikTok users to turn creativity into reality via videos. We build the core video creation product to support tens of millions of TikTok creators every day. All the viral props and effects you find on TikTok are developed by us, via close collaboration with TikTok AR effects and multimedia teams. Our team focuses on the research of next-gen technologies such as AIGC. Our mission is to make cutting-edge AI technology accessible, and bring possibilities to all TikTok users.
About the Role
We are looking for a highly motivated research engineer to join our computer vision team in Singapore. In this role, you will work with a team of leading researchers and experienced engineers working in the AIGC domain. You will be responsible for building & maintaining data pipelines, writing bug-free machine learning code, and implementing the sciences behind the systems. The ideal candidate should be experienced in processing large datasets (e.g. Images, videos, texts), and have past experience in building computer vision and/or generative models using pytorch framework, and to be comfortable working with large-scale distributed machine learning training pipelines.
Responsibilities
• Develop and improve current data loading and processing pipelines on a very large scale (e.g. On PBs scale).
• Work along with researchers and engineers to help improve current generative modeling pipelines.
• Be self-motivated to come up with new solutions that can improve modeling outputs, training pipelines and datasets.
• Be responsible for maintaining and improving codebases. Attend research & paper reading groups for ideas brainstorming.
Qualifications
• At least a Bachelor’s degree in any of these faculties: Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies)
• Minimum 3 years of experience as an AI researcher/scientist with strong programming skills
• Strong background in computer vision, including experience with deep learning frameworks such as PyTorch
• Experience with image and video processing techniques and libraries
• Experience with computer vision modeling and training
• Experience in processing large-scale datasets, including images, videos or texts
• Experience in building large-scale distributed machine learning systems will be a plus
• Self-motivated and driven to learn & try new things (e.g. open sourced github repos), especially in AIGC
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Official account of Jobstore.
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.
We are looking for talented individuals to join us in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
About the Team
Our team's mission is to empower TikTok users to turn creativity into reality via videos. We build the core video creation product to support tens of millions of TikTok creators every day. All the viral props and effects you find on TikTok are developed by us, via close collaboration with TikTok AR effects and multimedia teams. Our team focuses on the research of next-gen technologies such as AIGC. Our mission is to make cutting-edge AI technology accessible, and bring possibilities to all TikTok users.
About the Role
We are looking for a highly motivated research engineer to join our computer vision team in Singapore. In this role, you will work with a team of leading researchers and experienced engineers working in the AIGC domain. You will be responsible for building & maintaining data pipelines, writing bug-free machine learning code, and implementing the sciences behind the systems. The ideal candidate should be experienced in processing large datasets (e.g. Images, videos, texts), and have past experience in building computer vision and/or generative models using pytorch framework, and to be comfortable working with large-scale distributed machine learning training pipelines.
Responsibilities
• Develop and improve current data loading and processing pipelines on a very large scale (e.g. On PBs scale)
• Work along with researchers and engineers to help improve current generative modeling pipelines
• Be self-motivated to come up with new solutions that can improve modeling outputs, training pipelines and datasets
• Be responsible for maintaining and improving codebases. Attend research & paper reading groups for ideas brainstorming
Qualifications
• Final year or recent graduate with a background in computer science, electrical engineering, statistics, applied mathematics, data science or other related disciplines
• Strong programming skills
• Background in computer vision, including experience with deep learning frameworks such as PyTorch
• Experience with image and video processing techniques and libraries
• Experience with computer vision modeling and training
• Experience in processing large-scale datasets, including images, videos or texts
• Experience in building large-scale distributed machine learning systems will be a plus
• Self-motivated and driven to learn & try new things (e.g. open sourced github repos), especially in AIGC
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com.
Official account of Jobstore.
