NewMachine Learning Engineer Graduate - (TikTok Trust and Safety - CV/NLP/Multimodal LLM) - 2026 Start(PHD) TikTok IncMachine Learning Engineer Graduate - (TikTok Trust and Safety - CV/NLP/Multimodal LLM) - 2026 Start(PHD)Seattle, WAThe algorithm team is responsible for developing state-of-the-art computer vision, NLP and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related regulations. Work on state-of-the-art content understanding techniques including but not limited to unimodal/multimodal content classifiers, Active learning models, Reinforcement learning models, and Large Language Models.
Head of AI Clinical Excellence Pfizer IncHead of AI Clinical ExcellenceBothell, WA$176,600–$294,300 / yearYou will partner closely with the Oncology Clinical Development, Clinical Operations, Biostatistics, Data Science, Medical Affairs, Regulatory Affairs, and Digital organizations to identify, develop, and scale AI-driven capabilities that improve trial design, data review, study execution, operational efficiency, decision-making, and regulatory readiness. Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
NewMachine Learning Engineer Graduate (Data-Global E-Commerce-Search) - 2027 Start (PhD) TikTok IncMachine Learning Engineer Graduate (Data-Global E-Commerce-Search) - 2027 Start (PhD)Seattle, WAThis full-time PhD Graduate role provides early-career researchers and engineers the opportunity to join one of our engineering teams where you will have the opportunity to: Participate in applied research and improvement of the search core algorithm, possible directions include: Content understanding: Applying the industry s cutting-edge NLP and CV technology and leveraging LLM to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. Currently pursuing or recently completed a PhD degree in Computer Science, Electrical Engineering, Machine Learning, Artificial Intelligence, Information Retrieval, Natural Language Processing, Data Mining, Statistics, or a related technical field.
NewTech Lead-Machine Learning Engineer (Agent & Multi-Agent Systems) - AIGC Risk Intelligence TikTok IncTech Lead-Machine Learning Engineer (Agent & Multi-Agent Systems) - AIGC Risk IntelligenceSeattle, WAWe are transitioning from monolithic LLM applications to a structured multi-agent architecture that emphasizes: Tool-augmented reasoning (ReAct-style systems) Modular skill composition Execution traceability and observability Feedback-driven system evolution Cross-domain risk reasoning We are seeking an experienced technical leader to define and implement this architecture. Develop Open Risk Detection Capabilities Architect systems capable of identifying previously unseen risk patterns Implement execution trace-driven optimization loops Translate feedback signals (FP/FN, reviewer overrides, drift signals) into system improvements Enable proactive rather than purely reactive detection systems.
NewMachine Learning Engineer, Ecommerce Risk Control TikTok IncMachine Learning Engineer, Ecommerce Risk ControlSeattle, WAThe E-Commerce Risk Control (ECRC) team s mission is: To protect TikTok e-commerce users, including and beyond buyer, seller, creator; To make Tiktok e-commerce the safest and most trusted place worldwide to transact online by securing the integrity of the e-commerce ecosystem and providing a safe shopping experience on the platform; Through building software systems, risk models and operational processes, as well as collaborating with many cross-functional teams and stakeholders. We achieve our mission by a) developing state-of-art Machine Learning (ML) solutions to prevent customers, SPs, and Tiktok from being impacted by bad actors' actions and practices to gain unfair business advantages; b) empowering Tiktok teams, both internal to GNE and external, to reduce risk attempts by utilizing our mechanisms.
Head of Field Engineering OumiHead of Field EngineeringBellevue, WashingtonRemoteLeadership experience (preferred, not required): You have 2+ years of experience leading teams or managing senior individual contributors in customer-facing technical organizations such as sales engineering, solutions architecture, applied AI, forward-deployed engineering, or field engineering. Total experience: You have 5+ years of experience across applied machine learning, machine learning infrastructure, solutions engineering, sales engineering, forward-deployed engineering, field engineering, or related customer-facing technical roles.
NewMachine Learning Engineer - E-commerce Risk Control TikTok IncMachine Learning Engineer - E-commerce Risk ControlSeattle, WAThe E-Commerce Risk Control (ECRC) team s mission is: To protect TikTok e-commerce users, including and beyond buyer, seller, creator; To make Tiktok e-commerce the safest and most trusted place worldwide to transact online by securing the integrity of the e-commerce ecosystem and providing a safe shopping experience on the platform; Through building software systems, risk models and operational processes, as well as collaborating with many cross-functional teams and stakeholders. We achieve our mission by a) developing state-of-art Machine Learning (ML) solutions to prevent customers, SPs, and Tiktok from being impacted by bad actors' actions and practices to gain unfair business advantages; b) empowering Tiktok teams, both internal to GNE and external, to reduce risk attempts by utilizing our mechanisms.
NewSenior Machine Learning Engineer, Recommendation - TikTok eCommerce TikTok IncSenior Machine Learning Engineer, Recommendation - TikTok eCommerceSeattle, WAPreferred Qualifications: Familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users latent interests efficiently.
NewSenior Machine Learning E-commerce Feed Recommendation TikTok IncSenior Machine Learning E-commerce Feed RecommendationSeattle, WA3 years of experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc.
Senior Manager, Development to Launch Analytics Bristol-Myers Squibb CoSenior Manager, Development to Launch AnalyticsSeattle, WA$147,080–$178,221 / yearReporting directly to the Associate Director or Senior Director, Development to Launch Analytics, you will play a pivotal role in developing advanced data analytic tools that guide strategic decisions across our member functions, spanning end-to-end drug development and product launch activities. Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.
NewMachine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics) - 2027 Start TikTok IncMachine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics) - 2027 StartSeattle, WACombined with massive e-commerce information, through data mining and machine learning, predict the performance of products in traffic/conversion, improve the efficiency of product operation strategy and pricing/subsidy strategy, and assist in optimizing traffic distribution, to satisfy the requirements of product growth, cost optimization and some other scenarios. We are building AI-native capabilities for global logistics, including logistics agents, address intelligence, context engineering, agent evaluation, and workflow automation for complex supply chain operations.
NewMachine Learning Engineer Graduate- (TikTok Trust and Safety-CV/NLP/Multimodal LLM) - 2026 Start(PHD) TikTok IncMachine Learning Engineer Graduate- (TikTok Trust and Safety-CV/NLP/Multimodal LLM) - 2026 Start(PHD)Seattle, WAIn 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, and will also be responsible for optimizing our distributed model training framework continuously. Work on state-of-the-art content understanding techniques including but not limited to unimodal/multimodal content classifiers, Active learning models, Reinforcement learning models, and Large Language Models.
NewMachine Learning Engineer Graduate (TikTok Trust and Safety) - 2027 Start TikTok IncMachine Learning Engineer Graduate (TikTok Trust and Safety) - 2027 StartSeattle, WAWork on state-of-the-art content understanding techniques including but not limited to unimodal/multimodal content classifiers, learning models, Reinforcement learning models, and Large Language Models. The algorithm team is responsible for developing state-of-the-art computer vision, NLP and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related regulations.
NewMachine Learning Engineer (LLM)- E-commerce Risk Control TikTok IncMachine Learning Engineer (LLM)- E-commerce Risk ControlSeattle, WAWe achieve this through: Advanced machine learning systems to detect and prevent evolving business risks (e.g., account takeovers, collusion, incentive abuse, brushing, click-farms); A hybrid approach combining machine learning models, retrieval-augmented reasoning, and multi-agent decision-making systems; Cross-functional collaboration with product, ops, security, and trust teams. Build agentic workflows for complex cases, including modular task agents (e.g., structured data retrieval, open-source search, logical reasoning, decision reflection) orchestrated via a central controller agent.
NewMachine Learning Engineer Graduate (E-Commerce Governance) - 2027 Start TikTok IncMachine Learning Engineer Graduate (E-Commerce Governance) - 2027 StartSeattle, WAResponsible for data construction, instruction fine-tuning, CoT, alignment, and other work for large models in the e-commerce domain, aiming for ultimate effect optimization in the e-commerce domain. Responsibilities: Responsible for identifying algorithms for risk/violation/low-quality issues in e-commerce scenarios such as products, shopping cart short videos, and live streaming with products.
Director of Engineering -Exchange Extreme Networks IncDirector of Engineering -ExchangeSeattle, WA$175,000–$260,000 / yearProvide visionary technical and organisational leadership for teams building next-generation AI agent platforms, tool ecosystems, and cloud-native services, including agent orchestration, tool invocation, skill discovery, workflow execution, context management, and governance. Experience with cloud platforms and modern infrastructure technologies such as AWS, Azure, GCP, Kubernetes, Docker, Kafka, SQL/NoSQL databases, search systems, vector databases, graph databases, or event streaming platforms.
Software Engineer II, Data Intelligence Microsoft CorpSoftware Engineer II, Data IntelligenceRedmond, WA$102,100–$202,200 / yearThere is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year. Partnering with senior engineers and data scientists, you will help apply machine learning models for applications such as anomaly detection and classification and contribute to Generative AI solutions built on Azure OpenAI and the M365 platform.
Business & Marketing Data Science Manager Google LLCBusiness & Marketing Data Science ManagerSeattle, WAPosition requires 9 years of experience in the following: Application of quantitative methods to unstructured business challenges and complex, multi-dimensional datasets; Development of statistical algorithms or optimization models and methods; Establishment of data engineering pipelines or dashboarding for data visualization; Leading the strategic interpretation and presentation of complex statistical and machine learning outputs to senior business stakeholders, translating results into actionable insights to optimize global marketing spend and operational strategy; and Providing technical leadership and architectural oversight to a team of data scientists on the development, validation, and deployment of production-ready predictive models, including mentoring the team on best practices for coding, model versioning, and cloud-based ML platforms. Minimum qualifications: Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field and 11 years of progressive post-baccalaureate experience in the job offered or in a Business Scientist-related occupation.
Technical Program Manager, Signal Growth Meta Platforms IncTechnical Program Manager, Signal GrowthBellevue, WAResponsible for building, managing, and setting direction for teams as a whole as well as for individual team members' success You will be responsible for identifying and solving systemic, organizational-wide problems, influencing, and building strong relationships. As a TPM on the Signal Growth team at Meta, you'll be at the forefront of shaping the future of advertising - providing the technical and organizational leadership to drive large-scale, cross-functional programs from strategy to shipped-at-scale.
Staff Software Engineer, TPU Performance Google LLCStaff Software Engineer, TPU PerformanceKirkland, WACollaborate with Google product teams and researchers to solve performance problems, such as onboarding new Machine Learning models and products onto new Tensor Processing Unit hardware to enable larger models to train efficiently at a very large scale. We"re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.