Duties: Solve complex technical problems, often ones not solved before, at every layer of the stack; Design, implement, test, deploy and maintain innovative ML solutions to transform service performance, durability, cost, and security; Build high-quality, highly available, always-on products; Research implementations that deliver the best possible experiences for customers
Requirements: 8+ years of non-internship professional software development experience; 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience; Experience building complex software systems that have been successfully delivered to customers; Experience as a mentor, tech lead or leading an engineering team

Duties: Optimize the searching quality to provide TikTok's users the best search experience; Combine your understanding of product objectives and take full advantage of modern machine learning, NLP and Multimodal techniques to improve the search ranking algorithms, including query understanding, video understanding and various levels of result ranking
Requirements: Bachelor degree or above in the field of computer science or a related technical discipline; Must have relevant experience in search/recommendation; Proficient coding skills and strong algorithm & data structure using C++/Python/Java; Experience in one or more of the following areas: NLP, Ranking, Ads, Search engine, Recommender System, and Machine Learning

Duties: Conduct offline and online experiments, analyze according data and evaluate to improve algorithms and strategies; Responsible for the research and development of cutting-edge machine learning technology, application of visual, speech, audio and text recognition post-processing technology to products; Responsible for the optimization of NLP/Computer Vision/MultiModal algorithms for content understanding, and applying them to the scenarios of Trust and Safety; Responsible for building the ML model to recognize inappropriate content in the Trust and Safety context
Requirements: Bachelor's degree in Computer Science or equivalent with 5+ years of experience; Familiar with large-scale language modeling algorithms (N-gram, nnlm); Familiar with decoding engine optimization, with experience in WFST composition and optimization; Familiar with decoding algorithms under the end-to-end framework, with experience in decoding algorithm development and optimization

Duties: Setting up, operating and maintaining pilot plant equipment related to the company's separation process technology Collaborating on cross functional teams to conduct experimental runs while maintaining a safe working environment Utilizing strong mechanical aptitude and problem-solving skills Ability to work flexible/extended schedules with rotating shifts (days, afternoons or overnights) if needed Carry out HAZOPs and complete HAZOP action items Experience in transporting and handling chemicals in different packaging sizes
Requirements: Diploma/Degree in Chemical engineering, Biochemical engineering, Environmental engineering or related fields; 5 to 7 years of experience in industrial plant, pharmaceutical, petrochemical or flavor and fragrance process environment; Knowledge of separation processes such as distillation, Liquid-Liquid extraction, and crystallization; Experience in commissioning and operating process plant; Knowledge of conducting Risk Assessment, methodology in Process Safety (PHA, What-ifs, ), Change Management; Working knowledge of Electrical, Instrumentation & Controls, Mechanical systems etc

Duties: Build industry leading recommendation system for customers; Understand machine learning techniques and business objectives, end-to-end own recommendation system and responsible for performance, improve recommendation models and strategies; Conduct cutting-edge research in machine learning algorithms, and apply the technology to different business scenarios; Work with cross functional teams to grow Enterprise Partnership & Solutions business
Requirements: Bachelor's degree or above majoring in Computer Science, or related fields, with 3+ years of experience building scalable system; Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas

Duties: Build machine learning solutions to respond to and mitigate business risks in ByteDance products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc; Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping-ups; Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception and analysis
Requirements: Master or above degree in computer science, statistics, or other relevant, machine-learning-heavy majors; Solid engineering skills. Proficiency in at least two of: Linux, Hadoop, Hive, Spark, Storm; Strong machine learning background. Proficiency or publications in modern machine learning theories and applications such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series or graph unsupervised learning

Duties: Research and develop our machine learning systems, including heterogeneous computing architecture, management, scheduling, and monitoring; Manage cross-layer optimisation of system and AI algorithms and hardware for machine learning (GPU, ASIC); Implement both general purpose training framework features and model specific optimisations (e.g. LLM, diffusions); Improve efficiency and stability for extremely large scale distributed training jobs; Plan and lead the development of new and advanced data analytic techniques, methodologies and analytical solutions from design, prototyping, and testing; Identify and develop core data and AI science components for the delivery of projects, architect specialised database and computing environments, explore and visualise complex data set to provide incremental business value
Requirements: Bachelor or above degree in distributed, parallel computing principles and know the recent advances in computing, storage, networking, and hardware technologies; Familiar with machine learning algorithms, platforms and frameworks such as PyTorch and Jax; Have basic understanding of how GPU and/or ASIC works; Expert in at least one or two programming languages in Linux environment: C/C++, CUDA, Python

Duties: Implement machine learning algorithms at large scales to optimize and improve new user acquisition efficiency, and leverage acquisition signals to improve new user retention across all ranking phases including but not limited to retrieval, ranking, re-ranking and etc; Work cross functionally with product managers, data scientists and product engineers to understand insights, formulate problems, design and refine machine learning algorithms, and communicate results to peers and leaders; Run regular A/B tests, perform analysis and iterate algorithms accordingly; Have a good understanding of end-to-end machine learning systems. Work with infra teams on improving efficiency and stability
Requirements: Hands-on experience in one or more of the areas: recommender systems, machine learning, deep learning, pattern recognition, data mining, computer vision, NLP, causal inference, content understanding or multimodal machine learning; Strong programming skills in Python and/or C/C++, and a deep understanding of data structures and algorithms; Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/Pytorch/MXNet); Good communication and teamwork skills, be passionate about learning new techniques and taking on challenging problems

Duties: Understand each business line and payment scenarios well, design Red Flags to monitor potential compliance risk scenarios; Optimize and iterate compliance strategy standardly, systematically, timely and proactively; Design and develop machine learning algorithms to detect suspicious transactions and accounts effectively and assist investigation procedures efficiently; Discover potential syndicates and concerted behavior communities from large-scale graph data based on graph neural networks
Requirements: Bachelor and above with majors in computer science, computer engineering, statistics, applied mathematics, data science or other related disciplines; 2 years and above relevant experience, with solid experience with data structures and algorithms; Familiar with at least one framework of TensorFlow/PyTorch/MXNet and its training and deployment details; Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, etc; Familiar with big data related frameworks and applications, those who are familiar with MR or Spark are preferred

Duties: Build industry-leading content safety systems for TikTok; Develop highly-scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning, computer vision and data mining technologies; Understand product objectives and improve trust and safety strategy and model's performance; Work with cross-functional teams to protect TikTok globally
Requirements: Major in computer science or a related technical discipline; At least 3 years of experience in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision; Experience in the recommendation, search, advertising, or other related projects; Published papers in the top AI conferences or journals is a plus, including KDD, IJCAI, WWW, WSDM, ICML, NeurIPS, CVPR, ECCV, ICCV, ACL, etc

Duties: Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models; Responsible for improving use-ability and flexibility of the machine learning infrastructure; Responsible for improving the workflow of model training and serving, data pipelines and resource management for the multi-tenancy machine learning systems; Responsible for designing and developing key components of ML infrastructure and mentoring interns; Support the production of scalable and optimised AI/machine learning (ML) models
Requirements: B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions; Proficient in C/C++/Python, and have solid programming skills; Familiar with deep learning frameworks (TensorFlow/Pytorch); Experience in developing and deploying large-scale systems

Duties: Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models; Responsible for improving use-ability and flexibility of the machine learning infrastructure; Responsible for improving the workflow of model training and serving, data pipelines and resource management for the multi-tenancy machine learning systems; Responsible for designing and developing key components of ML infrastructure and mentoring interns; 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
Requirements: B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions; Proficient in C/C++/Python, and have solid programming skills; Familiar with deep learning frameworks (TensorFlow/Pytorch); Experience in developing and deploying large-scale systems

Duties: Improve the trust and safety strategy of live/video service by various strategies Perform deep dive analysis into specific problem spaces by attribution analysis, provide knowledge that will guide strategy in algo model improvement Work with vast amounts of data and convert insights into intuitive, actionable results that will drive strategy and decision-making. Develop machine learning models and algorithms to detect the issues of the current moderation system and also the TikTok ecosystem
Requirements: Bachelor's degree in Computer Science, Statistics, Data Science, Operations Research or a related field. An advanced degree (Master's, PhD) is preferred; Excellent ability to analyze and solve problems, full of passion for solving challenging problems; Proficient in Python, Pandas, Scikit-learn, SQL, Tableau or PowerBI, good knowledge of big data processing tools like Hadoop, Spark, etc

Duties: Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models; Responsible for improving use-ability and flexibility of the machine learning infrastructure; Responsible for improving the workflow of model training and serving, data pipelines and resource management for the multi-tenancy machine learning systems; Responsible for designing and developing key components of ML infrastructure and mentoring interns; 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
Requirements: B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions; Proficient in C/C++/Python, and have solid programming skills; Familiar with deep learning frameworks (TensorFlow/Pytorch); Experience in developing and deploying large-scale systems

Duties: Leading projects or small teams of people to help them unblock, advocating for ML excellence; Code deliverables in tandem with the engineering team; Understand industry & company-wide trends to help assess & develop new technologies; Suggest, collect and synthesize requirements and create effective feature roadmaps
Requirements: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience; 5+ years of experience with developing machine learning models at scale; 5+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field; Knowledge developing and debugging

Duties: Project manage Gen Re’s CI Data Insights study in selected markets in Asia, ensuring timely completion of the study and that survey results are valuable and relevant to the participating companies and Gen Re; Presenting and communicating survey results to internal and external stakeholders effectively; Conduct medical and actuarial research work to assess feasibility of various possible pricing solutions; Assist in the setup and development of pricing basis and best estimates for the region; Participate in regional and international initiatives and projects
Requirements: Relevant qualification with at least 5 years work experience in a life insurance or reinsurance company, preferably in pricing; Sound knowledge of Asian life insurance markets and in at least one risk product such as Critical Illness or Health; Actuarial designation (FIA, FSA, FCAS, etc.) is preferred; Strong analytical skills and proficiency in Python and R is required; Knowledge of RDBMS such as SQL is preferred; Knowledge of Posit application deployment is an added advantage

Duties: Work independently in cross-functional teams to lead the testing effort for data analysis software; Partner with software, bioinformatics developers and domain experts in designing, performing, and improving verification tests; Design and Implement automated software verification framework and scripts; Prepare necessary test artifacts required for formal software/product release; Develop and execute automated tests; Carefully analyze and report test results; Participate in Code and Design Reviews
Requirements: Experience developing software applications utilizing a high level language such as Python, Java, C# or C++ required; Strong software engineering fundamentals: OOP, data structures, SOLID principles, unit testing, TDD, SQL; Bachelor/Masters/PhD in Bioinformatics, Computer Science, Computer Engineering, Computational Biology or releveant fields; Have an understanding of Bioinformatics, Genomics, Molecular Biology, Oncology or related field of biology; Experience in designing or architecting automated verification framework and tests; Experience with CI/CD, Continuous Testing and related tools such as Jenkins

Duties: Disease modelling; Statistical analyses; Academic writing and publication of results; Preparation of meeting materials for stakeholders
Requirements: Completed a BSc in a quantitative discipline (statistics, mathematics, computational biology, data science); Strong programming skills (R preferred); Statistical competence (Bayesian is advantageous)

Duties: Conceptualize valuation strategies, develop and continuously improve upon mathematical models, and help translate algorithms into code; Back test and implement trading models and signals in a live trading environment; Use unconventional data sources to drive innovation; Conduct research and statistical analysis to build and refine monetization systems for trading signals
Requirements: Bachelors, Masters or PhD degree in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field; Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP); Prior experience working in a data driven research environment