46 AI Researcher jobs in Singapore

Research and Development:

• Responsible for the research and development of Agent technologies based on Large Language Models (LLMs) and Vision-Language Models (VLMs) in open-world game scenarios, covering key technologies such as Prompt Engineering, In-Context Learning (ICL), Retrieval-Augmented Generation (RAG), Supervised Fine-Tuning (SFT) and Reinforcement Fine-Tuning (RFT).

Framework and Toolchain Construction:

• Lead the design and implementation of the core framework for game agents and promote the research and development of training data synthesis, automated evaluation systems and related algorithms.

Production Implementation:

• Drive the deployment and integration of game agent technologies into both game content production and player-facing features, translating technical breakthroughs into practical applications.

Educational Background and Experience:

• Master’s degree or above in Computer Science, Artificial Intelligence or a related field.
• At least 2 years of work experience in related fields (priority given to those with experience in AI, game AI, large models or agent technologies).
• Or outstanding recent PhD graduates (priority given to those with matching research directions).

Theoretical Foundation and Research Capability:

• Deep understanding of the principles of machine learning, reinforcement learning, deep learning and their applications in the internet/game industry.
• Strong interest in cutting-edge AI technologies and solid research capabilities.

Large Model and Data Engineering:

• Familiar with the basic principles, training paradigms and applications of leading large language models in the industry (e.g., Qwen, Deepseek, Claude, Gemini series, etc.).
• Understanding of large model training data construction methodologies and proficiency in using relevant tools for data cleaning, preprocessing and formatting.

Technical Competency and Practical Experience:

• Solid knowledge of core algorithms and technologies in related fields such as Reinforcement Learning (RL), Natural Language Processing (NLP) and Computer Vision (CV).
• Proficiency in at least one programming language: C/C++, Go, or Python.
• Skilled in mainstream deep learning frameworks such as TensorFlow and PyTorch, with engineering capabilities in model building, algorithm implementation and tuning.
• Excellent hands-on skills, fast learning ability and logical thinking skills.

Good communication, expression and teamwork skills.

Strong interest and enthusiasm for the research and practical application of game AI technologies.

Mandarin speaking is required to liaise with peers and stakeholders in China.

Who are we?

We are the University of Cambridge research centre in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. Health-driven design for cities (HD4) is a collaborative research programme between the University of Cambridge, Nanyang Technological University and National University Singapore within Cambridge CARES. HD4 will deliver highly actionable data and evidence on the social determinants of health in Singapore, which have the potential to improve the public’s health.

HD4 is motivated by the rising burden of non-communicable diseases on individuals and wider society in Singapore. HD4 will study the relationship between the environment, health behaviours and health outcomes, identifying and addressing key risk factors to understand and influence the upstream determinants of health in Singapore. It will exploit a unique opportunity to work synergistically with the SG100K cohort study, augmenting it with data characterizing the individual environmental exposures of the cohort participants. HD4 will use an established co-creation approach to work with government agencies to ensure that the tools and public health models that it develops are influential in translating research into action. Overall, the HD4 project has the potential to identify how Singapore can be developed to optimize health and be a research-driven exemplar for other Asian cities.

Who are we looking for?

CARES is offering an exciting opportunity to join a vibrant research group, giving you the opportunity to contribute to this applied research project of direct relevance to government policy and public health. We are seeking to appoint a Research Fellow with a track record of using geographical information systems (GIS) or spatial data science techniques, and with a strong quantitative background, to contribute across HD4 work packages that contain a geographical component.

You will be educated to PhD level and have a proven track-record of manipulating, mapping and summarizing large volumes of complex location and attribute data (through use of dedicated GIS software or other programming language). Ideally, you will have experience of conducting spatial network analyses (e.g. least-cost path, location-allocation) and you might have some programming experience (e.g. Python, Java, C). You will also have strong quantitative analytical skills. You will have experience of writing up research outputs for a variety of audiences, including as peer-reviewed publications (including manuscripts submitted, under review or in press). Excellent time management, oral and written communication skills, with a track record of problem solving, managing your own workload, working independently and meeting deadlines, will be required.

The post is available until the end of April 2027 with a start date of April/May 2025. The role is under the supervision of work package leads in Singapore (including Dr Rudi Stouffs, Dr Marie Loh) and the UK (including Dr Ronita Bardhan, Dr James Woodcock, Dr Louise Foley, Dr Jenna Panter) and you will be line managed remotely by Dr Thomas Burgoine (University of Cambridge). The PIs on the HD4 project are Professor Nick Wareham (Cambridge) and Professor John Chambers (Singapore).

Key Responsibilities:

Core responsibilities will include identifying potential environmental data sources (e.g. retail, transport network) in conversation with local stakeholders, and derivation of granular exposure estimates at person and small area levels on relevant environmental characteristics to underpin epidemiological analysis of related health behaviours. Characteristics of the environment are likely to include many aspects of feature accessibility including food retail, facilities that promote physical activity, and green space. These data will be used to link neighbourhood environmental exposures to the individual records of SG100K participants, supporting analyses of relationships with health behaviours (physical activity, sedentary behaviour, sleep, diet and fitness). You will also be expected to contribute to detailed data collection, development of study protocols and the conduct of subsequent spatial epidemiological analyses.

The key responsibility is to undertake the research described, under the management of the work package leads. The post holder will contribute to the overall aims and successes of the research project as allocated to them, such that they deliver their aims and objectives to the agreed timescales. Where relevant, the post holder will be expected to develop new skills required to meet project targets.

The post holder will be responsible for writing manuscripts for peer-reviewed publication, based on the research conducted; presenting their research results at internal meetings, external conferences and other engagement events; and discussing their work and findings with external academic and non-academic stakeholders.

What skills will you need?

· Education and Qualifications : PhD in public health or a related subject (e.g. health geography, transport geography, spatial data science, GIScience, epidemiology, spatial epidemiology)

· Specialist knowledge and skills:

- Strong working knowledge of a geographic information system (e.g. ArcGIS, QGIS), or appropriate programming language (e.g. R, Python) for manipulating, mapping and summarizing spatial data

- Specific knowledge of network analyses in a standalone GIS (e.g. ArcGIS, QGIS) or programmatically (e.g. R, Python)

- Familiarity with secondary data sources pertaining to environmental characteristics in SG

- Programming experience (e.g. Python, C, C++, Java) OR demonstrable track record of having understood and adopted advanced technologies in research

- Strong quantitative background and experienced in the use of software (e.g. Stata, R) or programming code (e.g. Python), for statistical analyses

- Excellent time management skills

- Ability to make own workload

- Topic knowledge in the field of neighbourhood determinants of health

· Communication and Interpersonal skills :

- Excellent interpersonal and communication skills with academic and non-academic stakeholders

- Track record of peer-reviewed publications as first author

- Strong skills and experience working collaboratively as a member of a multidisciplinary team

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A comprehensive medical insurance cover as part of your employment.

Please note this post is mainly based in the CREATE Tower at NUS University Town, Singapore.

How to apply?

Please apply by uploading your CV and academic transcript to

If you have any questions, please feel free to reach out to the HR team at .

Informal enquires can be sent to the academic lead of this work package:

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OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa

About OKX

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

Introduction

We are seeking a skilled NLP & LLM Expert to join our team, focusing on the development and implementation of advanced natural language processing techniques and large language models. This role is ideal for individuals with a strong background in AI-driven content generation, particularly in creating AI Agents, AI-Generated Content (AIGC) for SEO, and utilizing Transformer models for tasks such as summarization and content growth.

Responsibilities

• Create AI-Generated Content (AIGC) strategies aimed at optimizing SEO and driving content growth.
• Fine-tune large language models (LLMs) to improve performance on domain-specific tasks and datasets.
• Develop Retrieval-Augmented Generation (RAG)-based chatbots to provide accurate and contextually relevant responses.
• Deploy open-source LLMs, ensuring scalability and efficiency in various applications.
• Apply prompt engineering techniques, including those utilizing models like GPT-4, to optimize model outputs for specific tasks.
• Design and implement AI Agents capable of understanding and generating human-like text to improve user engagement and support.
• Stay updated with the latest advancements in NLP, LLMs, and AI technologies, applying new methodologies to improve content generation and summarization.
• Assist in presenting model outcomes to stakeholders, ensuring alignment with organizational objectives.
• Contribute to a culture of technical excellence and innovation by supporting team members in adopting AI technologies and methodologies.
  
  
  

• Bachelor’s or Master's or PhD degree in Computer Science, Data Science, or a related field.
• 5+ years of experience in technology-focused roles, with significant exposure to natural language processing and large language models.
• Proficiency in developing and deploying machine learning models, including deep learning and Transformer-based architectures, for NLP tasks.
• Practical experience with feature engineering, text summarization, content generation, and SEO optimization.
• Experience in fine-tuning LLMs for domain-specific applications.
• Knowledge of Retrieval-Augmented Generation (RAG) techniques and their application in chatbot development.
• Experience in deploying open-source LLMs in production environments.
• Expertise in prompt engineering, particularly with models like GPT-4.
• Strong analytical and problem-solving skills, with the ability to manage multiple projects and collaborate effectively with team members.
• Solid understanding of AI-driven content strategies and their applications in enhancing user engagement and content growth.
• Excellent communication and strategic thinking abilities.
  
  
  

• Previous experience in fast-paced or startup environments, or at top-tier technology firms.
• Contributions to projects or research in NLP, particularly those relevant to AI Agents, AIGC, and Transformer models.
  
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Industries IT Services and IT Consulting

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OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.

About OKX

At OKX, we believe that the future will be reshaped by Crypto, ultimately contributing to every individual's freedom. OKX began as a crypto exchange giving millions of people access to crypto trading and has become one of the largest platforms in the world. In recent years, we have developed one of the most connected Web3 wallets used by millions to access decentralized crypto applications (dApps). OKX is a trusted brand by hundreds of large institutions seeking access to crypto markets on a reliable platform that seamlessly connects with global banking and payments. In the last year, OKX has expanded into new markets including Australia, Brazil, Netherlands, Singapore, and Turkey, with plans to launch in the US, Belgium, and the UAE.

We are deeply committed to shaping a fairer, more transparent, and accessible society through blockchain technology. This is why we publish proof of reserves monthly and continue to ship new innovative security features.

About the team:

You will be a member of the core end-to-end AI team, from BI to AI. You will be responsible for democratising insights on our core businesses, collaborating with cross-functional teams to define, measure and understand key metrics, influence business strategy and product roadmap through data, deliver analysis reports and models, empower our products and services with data-driven and AI-driven approaches, and significantly impact the business. You will collaborate closely with the engineering team, product team, and other stakeholders in defining the data collection needs, the data schema, the data analysis, the model training, and the model deployment.

Responsibilities:

1. Work on large-scale structured and unstructured data sets to solve a wide array of challenging problems using analytical, statistical, machine learning, or deep learning approaches.
2. Work with stakeholders from different departments to understand their business needs and challenges, architect and design analytics solutions to meet business objectives and support business decision-making.
3. Collaborate with cross-functional stakeholders to provide strategies based on data-driven insights across product, marketing, compliance, and others.
4. Define, understand, and test external/internal opportunities to improve our products and services.
5. Identify and measure the success of product efforts through goal setting, forecasting, and monitoring of key product metrics.
6. Develop data models, data automation systems, performance metrics, and reporting systems, and track impact over time.
7. Deliver Machine Learning projects from beginning to end, including understanding the business need, planning the project, aggregating & exploring data, building & validating models, and deploying ML models to deliver business impact.
8. Improve upon existing machine learning methodologies by developing new sources, developing and testing enhancements, running computational experiments, and fine-tuning parameters.
9. Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.

Requirements:

1. Bachelor degree in Business, Economics, Statistics, Data Science, Data Mining, or similar quantitative field.
2. Proven successful and trackable experience in an analytical role or data scientist role involving extraction, analysis, and/or modeling.
3. Solid experience in SQL, familiar with SQL functions such as window functions and aggregate functions.
4. Solid experience in Python, familiar with data analysis libraries such as pandas, numpy, matplotlib, scikit-learn, etc.
5. Experience in using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units.
6. Experience in developing production-grade ML systems including exploratory analysis, feature engineering, hyperparameter tuning, model training, model selection, creating data pipelines, etc.
7. Experience in working with deep learning frameworks such as PyTorch for real-world problems.
8. Knowledge of Computer Science fundamentals such as object-oriented design, graph algorithms, algorithm design, data structures, problem solving, and complexity analysis.
9. Self-driven, innovative, collaborative, with good communication and presentation skills, able to translate between business and technical audiences.

Preferred Qualifications:

1. Master or PhD in Machine Learning, Applied Mathematics, Statistics, Data Mining, Computer Vision, Computer Science, Business, Economics, or other quantitative fields.
2. Experience in FinTech, eCommerce, SaaS, AdTech, or Digital Wallet business industries.
3. Experience in working with teams across offices and timezones is a plus.
4. Experience in big data tools such as Amplitude, DataWorks, MaxCompute, Hadoop, Hive, Spark, and HBase is a big plus.
5. Experience using analytics techniques to contribute to company growth or increasing revenue and other key business outcomes is a big plus.
6. Experience with recommendation systems is a plus.
7. Experience with RPA systems is a plus.
8. Experience with NLP, such as NER, semantic analysis, and machine translation, etc. is a plus.
9. Experience with CV, such as image classification, image detection, OCR, etc. is a plus.
10. Experience in Triton Inference Server or ONNX is a plus.
11. Experience with application development practices at scale.
12. Publication at top AI conferences and journals.

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa

About OKX

Founded in 2017, OKX is one of the world’s leading cryptocurrency spot and derivatives exchanges. OKX has adopted innovative blockchain technology to reshape the financial ecosystem by offering some of the most diverse and sophisticated products, solutions, and trading tools on the market. Trusted by more than 20 million users in over 180 regions globally, OKX strives to provide an engaging platform that empowers every individual to explore the world of crypto. In addition to its world-class DeFi exchange, OKX serves its users with OKX Insights, a research arm that is at the cutting edge of the latest trends in the cryptocurrency industry. With its extensive range of crypto products and services, and unwavering commitment to innovation, OKX’s vision is a world of financial access backed by blockchain and the power of decentralized finance.

About the team:

You will be the member of the core end-to-end AI team, from BI to AI. You will be responsible for democratising insights on our core businesses, collaborating with cross-functional teams to define, measure and understand key metrics, influence business strategy and product roadmap through data, deliver analysis reports and models, empower our products and services with data-driven and AI-driven approaches, and significantly impact the business. You will collaborate closely with the engineering team, product team and other stakeholders in defining the data collection needs, the data schema, the data analysis, the model training and the model deployment.

Responsibilities:

Work on large-scale structured and unstructured data sets to solve a wide array of challenging problems using analytical, statistical, machine learning or deep learning approaches.

Work with stakeholders from different departments to understand their business needs and challenges, architect and design analytics solutions to meet business objectives and support business decision making.

Collaborate with cross-functional stakeholders to provide strategies based on data-driven insights across product, marketing, compliance, and others.

Define, understand, and test external/internal opportunities to improve our products and services.

Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics.

Develop data models, data automation systems, performance metrics, and reporting systems, and track impact over time.

Deliver Machine Learning projects from beginning to end. This includes understanding the business need, planning the project, aggregating & exploring data, building & validating models, and deploying ML models to deliver business impact.

Improving upon existing machine learning methodologies by developing new sources, developing and testing enhancements, running computational experiments, and fine-tuning parameters.

Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.

Requirements:

Bachelor degree in Business, Economics, Statistics, Data Science, Data Mining, or similar quantitative field.

Proven successful and trackable experience in an analytical role or data scientist role involving extraction, analysis, and/or modeling.

Solid experiences in SQL, familiar with SQL functions such as window functions and aggregate functions.

Solid experiences in Python, familiar with data analysis libraries such as pandas, numpy, matplotlib, scikit-learn, etc.

Experience in using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units.

Experience in developing production-grade ML systems including exploratory analysis, feature engineering, hyperparameter tuning, model training, model selection, creating data pipelines, etc.

Experience in working with deep learning frameworks such as PyTorch for real world problems.

Knowledge of Computer Science fundamentals such as object-oriented design, graph algorithm, algorithm design, data structures, problem solving and complexity analysis.

Self-driven, innovative, collaborative, with good communication and presentation skills, able to translate between business and technical audiences.

Preferred Qualifications:

Master or Phd in Machine Learning, Applied Mathematics, Statistics, Data Mining, Computer Vision, Computer Science,Business, Economics, or other quantitative fields.

Experience in FinTech, eCommerce, SaaS, AdTech, or Digital Wallet business industries.

Experience in working with teams across offices and timezones is a plus.

Experience in big data tools such as Amplitude, DataWorks, MaxCompute, Hadoop, Hive, Spark and HBase is a big plus.

Experience using analytics techniques to contribute to company growth or increasing revenue and other key business outcomes is a big plus.

Experience with recommendation systems is a plus.

Experience with RPA system is a plus

Experience with NLP, such as NER, semantic analysis and machine translation, etc. is a plus

Experience with CV, such as image classification, image detection, OCR, etc. is a plus.

Experience in Triton Inference Server or ONNX is a plus.

Experience with application development practices at scale

Publication at top AI conferences and journals

:

This role is posted on behalf of Resaro AI, a startup supported by SGInnovate.

Background

Resaro was founded on the belief that AI will change the world in ways we cannot even imagine, but every new technology needs safeguards to advance. We are looking for a Computer Vision data scientist with experience in evaluating and testing deep learning based computer vision models in production settings to work with a category-defining AI assurance venture that will help companies test and audit their AI systems. You will work with the team to evaluate and stress-test AI models to make sure they are fit for purpose and safe to be deployed. We value strong technical ability and real world experience and there will be room to solve challenging problems and adopt cutting edge technology into business applications.

Job scope

YOU WILL

• Work closely with our customers to evaluate computer vision models in law enforcement and healthcare, with a focus on rigorous technical and analytical AI evaluation frameworks backed by scientific research and methods. These should assess the robustness, explainability, fairness, privacy, safety and security of AI and machine learning systems.
• Work on the development of comprehensive evaluation frameworks for assessing the performance of computer vision models (e.g., object detection, image classification, segmentation, pose estimation, etc.).
• Stay abreast of the latest advancements in computer vision, AI, and deep learning to incorporate cutting-edge evaluation techniques.
• Lead or contribute to publications, conferences, and technical presentations on model evaluation and AI performance in computer vision.
• Explore innovative evaluation methods, such as adversarial testing or synthetic data, to push the boundaries of traditional model evaluation.

YOU ARE ABLE TO

• Think from first principles and want to tackle the most challenging technical problems from a multi-disciplinary approach e.g., design, engineering and social science.
• Lead by example regardless of whether you are a manager or individual contributor. You want to work with passionate and talented individuals and people want to work with you.
• Communicate in an open, frank and respectful manner.
• Thrive in a fast-paced environment.
• Navigate uncertainty by being willing to explore, while remaining laser focused on the mission at hand.

YOU HAVE

• Prior extensive experience of 2 to 5 years working as a data scientist training and deploying computer vision models that affect business outcomes and customers.
• A passion and interest in applied research on the safe and responsible use of AI and with large language models.
• Proven experience in evaluating computer vision models using metrics such as mAP, IoU, F1-score, precision-recall, and others relevant to the specific task.
• Experience with large-scale datasets such as ImageNet, COCO, or custom datasets, as well as managing annotation quality and dataset curation.
• Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras, with a deep understanding of computer vision architectures (e.g., ResNet, EfficientNet, Mask R-CNN, YOLO).
• Strong coding skills in Python, along with familiarity in setting up automated model evaluation pipelines.
• Experience with data augmentation, synthetic data generation, and adversarial testing.
• Familiarity with MLOps tools and cloud platforms (e.g., AWS, GCP) for scaling model evaluation tasks.
• Strong written and verbal communication skills, with the ability to articulate technical results and collaborate effectively across teams.
• Experience presenting technical results to non-technical stakeholders, including product teams and leadership.
• Willingness to undergo security clearance while residing in Singapore. We regret that we will not be able to sponsor any work visa for this role.

NICE TO HAVE

• Published research in the field of computer vision.
• Knowledge of explainability techniques for computer vision (e.g., Grad-CAM, LIME, SHAP).
• Familiarity with edge computing environments and deploying computer vision models in real-time systems.
• Experience with healthcare or facial recognition systems.
• Familiarity with cloud-based platforms (e.g., AWS, GCP) for scalable model evaluation and deployment.

ABOUT US

Resaro is a global AI Assurance company, pioneering the field of AI testing and evaluation. We are a team of AI experts, engineers, and data scientists. Our mission is to ensure an AI market worthy of trust.

Interested candidates may apply directly to DTC at:

• Seniority level Mid-Senior level

• Employment type Full-time

• Industries Information Services

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about company

I am currently working with a company focusing on AI, LLM and Computer Vision.

Salary structure: Base + bonus! Hybrid working arrangement- 2 days office, 3 days WFH. Office location at CBD. 4 rounds of interview to offer stage.

about job

• Design and implement robust frameworks to evaluate the performance of generative AI systems, including text and multi-modal models for Large Language Models (LLMs), including but not limited to GPT-based models, BERT, T5, and other state-of-the-art architectures
• Perform technical AI evaluations, benchmarking and “red-team” tests on LLM model, including assessing them for robustness in performance, embedded biases, vulnerability to jailbreaks and prompt injection attacks
• Work with stakeholders to design strong LLM models, custom evaluation approaches and a suite of technical and analytical AI evaluation frameworks and tools
• Define and refine metrics for evaluating model performance, such as perplexity, BLEU, ROUGE, accuracy, coherence, factual consistency, and bias detection
• Lead efforts in curating and managing large, high-quality datasets for evaluating LLMs

skills and requirements

• Min 5 years of total working experience with min 2 years in building and deploying LLMs
• Strong experience in evaluating LLMs using metrics such as perplexity, BLEU, ROUGE, and human-centered evaluation techniques
• Proven track record of managing and analyzing large, complex language datasets, including text preprocessing and tokenization
• Solid programming skills in Python and experience building automated pipelines for continuous model evaluation
• 
  
• To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)
  

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including San Jose, 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 imagination 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 mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers. The main job directions include:

1. Explore large-scale&multi-modal LLMs and optimize systems to the level of other advanced models, e.g., Gemini;

2. multi-modal pretraining, instruction tuning, preference alignment, and model compression;

3. Implementation of relevant applications, including video understanding, reasoning and code generation, etc.;

4. In-depth research and collaboration with researchers from top-tier universities worldwide;

Qualifications

Minimum Qualification

1. PHD or Master with top AI conference papers in ML/CV/NLP are required;

2. Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, Kaggle, etc. are preferred

3. In-depth research experience in Machine Learning, with a particular emphasis on Large Language Models (LLMs) and Generative AI

4. Excellent ability to analyze and solve problems, and be passionate about solving challenging problems

Preferred Qualifications

1. Passion for technology, good communication skills and team spirit

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.

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, 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 mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers.

The main job directions include:

- Drive core technology development for large language model code direction, continuously optimizing code comprehension, reasoning, and generation capabilities.

- Focus on improving code comprehension, reasoning, and generation capabilities in real-world production codebases, improving TikTok service code performance and privacy compliance.

- Explore Code Agent capabilities suitable for actual business production environments, and improve TikTok R&D efficiency.

Qualifications

Minimum Qualifications

1. PHD or Master with top AI conference papers in ML/CV/NLP are required;

2. Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, Kaggle, etc. are preferred

3. In-depth research experience in Machine Learning, with a particular emphasis on Large Language Models (LLMs) and Generative AI

4. Excellent ability to analyze and solve problems, and be passionate about solving challenging problems

Preferred Qualifications:

1. Passion for technology, good communication skills and team spirit

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.