Machine Learning Engineer Graduate (E-Commerce Recommendation Live) - 2027 Start (PhD) TikTok IncMachine Learning Engineer Graduate (E-Commerce Recommendation Live) - 2027 Start (PhD)Seattle, WAThe team operates in a highly dynamic environment where live room status changes in real time, conversion signals are sparse, and user intent must be understood across content, commerce, and transaction scenarios. Experience with long-sequence user behavior modeling, multi-task learning, multi-interest modeling, or large-scale distributed training and inference optimization.
Machine Learning Engineer Intern (E-Commerce Recommendation Foundation) - 2027 Start (PhD TikTok IncMachine Learning Engineer Intern (E-Commerce Recommendation Foundation) - 2027 Start (PhDSeattle, WAPhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization s future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.
Machine Learning Engineer Graduate (E-Commerce Recommendation Foundation)- 2027 Start (PhD) TikTok IncMachine Learning Engineer Graduate (E-Commerce Recommendation Foundation)- 2027 Start (PhD)San Jose, CAMinimum Qualifications: Individuals who are completing or have recently completed a PhD degree in Computer Science, Electrical Engineering, Mathematics, Statistics or a related discipline. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Machine Learning Engineer Graduate (E-Commerce Recommendation Live) - 2027 Start TikTok IncMachine Learning Engineer Graduate (E-Commerce Recommendation Live) - 2027 StartSeattle, WAThe team operates in a highly dynamic environment where live room status changes in real time, conversion signals are sparse, and user intent must be understood across content, commerce, and transaction scenarios. Experience with long-sequence user behavior modeling, multi-task learning, multi-interest modeling, or large-scale distributed training and inference optimization.
Machine Learning Engineer Intern (E-Commerce Supply Chain & Logistics-LLM/Agent) - 2027 Start (PhD) TikTok IncMachine Learning Engineer Intern (E-Commerce Supply Chain & Logistics-LLM/Agent) - 2027 Start (PhD)Seattle, WAParticipate in building domain LLM model capabilities for e-commerce supply chain and logistics, including continued pre-training / CPT, SFT, preference optimization, reinforcement learning such as GRPO / PPO, reward or judge model design, model compression, inference cost and latency optimization, and landing scenarios such as address correction, trajectory prediction, logistics cost analysis, customer service semantic understanding, and root-cause analysis. Support agent architecture, engineering, evaluation, and evolution work, including runtime orchestration, memory and state management, model / tool routing, permission-safe execution, observability, benchmark and Golden Set evaluation, bad case attribution, regression testing, online feedback loops, and continuous improvement of context, skills, workflows, and model behavior.
Machine Learning Engineer Graduate (E-Commerce Recommendation Mall) - 2027 Start TikTok IncMachine Learning Engineer Graduate (E-Commerce Recommendation Mall) - 2027 StartSan Jose, CALong-Term Value and User Experience Modeling: Explore replacing traditional heuristic rule-based systems with LLM and agent capabilities; build next-generation algorithms for measuring and optimizing long-term value (LTV) and user experience, enabling sustainable growth of the platform ecosystem. Experience with long-sequence user behavior modeling, multi-task learning, multi-interest modeling, or large-scale distributed training and inference optimization.
Machine Learning Engineer Intern (E-Commerce Recommendation Mall) - 2027 Start (PhD) TikTok IncMachine Learning Engineer Intern (E-Commerce Recommendation Mall) - 2027 Start (PhD)Seattle, WALong-Term Value and User Experience Modeling: Explore replacing traditional heuristic rule-based systems with LLM and agent capabilities; build next-generation algorithms for measuring and optimizing long-term value (LTV) and user experience, enabling sustainable growth of the platform ecosystem. Experience with long-sequence user behavior modeling, multi-task learning, multi-interest modeling, or large-scale distributed training and inference optimization.
Machine Learning Engineer Graduate (E-Commerce Recommendation Foundation) - 2027 Start TikTok IncMachine Learning Engineer Graduate (E-Commerce Recommendation Foundation) - 2027 StartSan Jose, CAMinimum Qualifications: Individuals who are completing or have recently completed a Bachelor s degree in Computer Science, Electrical Engineering, Mathematics, Statistics or a related discipline. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Machine Learning Engineer Graduate (E-Commerce Recommendation Mall) - 2027 Start (PhD) TikTok IncMachine Learning Engineer Graduate (E-Commerce Recommendation Mall) - 2027 Start (PhD)Seattle, WALong-Term Value and User Experience Modeling: Explore replacing traditional heuristic rule-based systems with LLM and agent capabilities; build next-generation algorithms for measuring and optimizing long-term value (LTV) and user experience, enabling sustainable growth of the platform ecosystem. Experience with long-sequence user behavior modeling, multi-task learning, multi-interest modeling, or large-scale distributed training and inference optimization.
Senior Machine Learning Engineer, TikTok Core Feed Recommendation - Dedup TikTok IncSenior Machine Learning Engineer, TikTok Core Feed Recommendation - DedupSan Jose, CAOur work focuses on building large-scale, high-performance systems that support key strategies such as video deduplication, originality recognition, copyright detection, content safety, and content moderation. Experience in Multimedia or Computer Vision areas such as image/video/audio retrieval, representation learning, re-identification, or unsupervised/self-supervised learning.
Founding Machine Learning Engineer Brahma Consulting GroupFounding Machine Learning EngineerSan Francisco, CaliforniaPython, PyTorch, RL libraries, Transformers, MLOps, JavaScript, TypeScript, Linux, RTL Code Generation, Physical Design Automation, Hardware Problem Reasoning, Agentic Systems, Fine-tuning Models, Multi-agent Orchestration, Reinforcement. Architect and deploy novel agent-based systems, including fine-tuning models for RTL Code generation, physical design tasks automation and hardware problem.
Machine Learning Engineer, TikTok Content Recommendation (Ecosystem & Cold-Start) TikTok IncMachine Learning Engineer, TikTok Content Recommendation (Ecosystem & Cold-Start)San Jose, CAHere, you can drive deeper into the improvement and optimization of machine learning/deep learning algorithms, including but not limited to Mathematics, CV/NLP technology, multi-task learning, multi-modal technology, meta-learning, reinforcement learning, causal inference, metric learning, graph neural networks, active learning, life long learning, etc. About the Team Our team is responsible for designing and optimizing TikTok s content distribution and author growth mechanism to ensure the healthy and sustainable development of TikTok s content ecosystem.
Machine Learning Engineer Distributed SpectrumMachine Learning EngineerNew York, New YorkYou’ll be responsible for translating high-level problem statements into working machine learning solutions—owning the entire process from research to implementation. You’ll work closely with embedded engineers, leadership, and our customers to ensure that our models not only work in theory but perform in the real world.
Staff Computer Vision And Machine Learning Engineer Geico InsuranceStaff Computer Vision And Machine Learning EngineerBethesda, MD$130,000–$260,000 / yearYou will be the technical lead for a team of Computer Vision and Machine Learning engineers and/or data scientists focused on ensuring that computer vision and machine learning models are robust, high-performing, and seamlessly integrated into production systems. This role focuses on building scalable computer vision and machine learning models, mentoring junior engineers, and driving the full lifecycle of computer vision and machine learning model development.
Machine Learning Engineer Human ArchiveMachine Learning EngineerSan Francisco, CaliforniaFounded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. Your work will help shape how frontier labs and leading robotics companies train their models, transforming physical labor markets and economies while contributing to broader research into human embodied intelligence.
Machine Learning Engineer - Deployment Kodiak Robotics, IncMachine Learning Engineer - DeploymentSan Francisco, CA$200,000–$265,000 / yearShould the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. In this role, you will: Help design, train, with a focus towards deploying onboard machine learning models that improve the performance/latency of the Kodiak autonomy stack which includes quantization, pruning, converting to ONNX/TensorRT, custom GPU kernels and profiling.
Generative AI & Machine Learning Engineer Morgan StanleyGenerative AI & Machine Learning EngineerNew York, NY$155,000–$215,000 / yearThis role is ideal for a technical leader who enjoys solving complex engineering problems, working closely with business and technology partners, and leading the end-to-end delivery of AI-powered products in a fast-paced investment banking environment. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries.
Principal Machine Learning Engineer, Content Safety Roblox CorpPrincipal Machine Learning Engineer, Content SafetySan Mateo, CA$295,250–$345,040 / yearStrategic Stakeholder Partnership: Collaborate with executive-level Product, Data Science, Policy, and Operations leaders to define and prioritize the strategic machine learning roadmap, influencing product strategy and demonstrating the impact of ML on user trust and safety outcomes. You will: Define and Own the Technical Vision: Define and lead the multi-year technical vision, architectural strategy, and execution for machine learning solutions in Content Safety, ensuring these systems proactively and effectively detect and mitigate violative content at massive scale.
Machine Learning Research Engineer Tower ResearchMachine Learning Research EngineerNew York, NY$200,000–$300,000 / yearAgentic Workflows for ML Research: Leverage AI agents and auto-research workflows to autonomously generate experiments, stress-test our distributed clusters, and provide data-driven, actionable feedback on what infrastructure needs to be optimized or built next. By leveraging AI agents and auto-research capabilities, you will push our systems to their limits, identify bottlenecks, and create a frictionless environment to test novel machine learning models on realistic, large-scale data.
Controls and Robot Learning Engineer Bedrock RoboticsControls and Robot Learning EngineerSan Francisco, CaliforniaOnboard Control: Develop control laws for the base vehicle and automated arms, utilizing techniques such as MPC, Reinforcement Learning, linear and non linear control, computed torque, vehicle dynamics, and impedance control. You will be responsible for creating models to be used for onboard controls, as well as analyzing, evaluating and simulating the system dynamics of complex, 100,000-pound construction robots.