4,653 ML Research & Training jobs
Open roles training and researching machine-learning models.
倍智醫電-演算法資深工程師
1. 帶領智慧醫療研發團隊開發智醫產品之核心演算法 2. 演算法設計、分析、模擬與最佳化 3. 針對流程、系統與產品等需求進行分析、設計及文件撰寫與驗證結果, 協助規劃內部控制制度，並檢核優化的成果是否落實執行 4. 熟悉C#/python/pyTorch/SQL/MangoDB/javascript尤佳 5. 具備醫學影像相關經驗者、醫療器材規範與品質系統經驗者尤佳 6. 需國外出差
Staff Machine Learning Engineer - Vision-Language Foundation Models
Build and scale large vision-language foundation models for autonomous driving, using multimodal pre-training and reinforcement learning to improve scene understanding and autolabeling.
Machine Learning Engineer, Perception, Vision-Language Models
Develops and optimizes large-scale vision-language models for autonomous vehicle perception, training pipelines on multimodal sensor data to improve real-world driving decisions.
Senior Machine Learning Engineer, Perception, Vision-Language Models
Designs and optimizes large-scale machine learning pipelines for vision-language models to improve autonomous vehicle perception, using Python and deep learning frameworks.
Ingeniero de Machine Learning & Modelado
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design,…
Software Engineer, Inference AI/ML
Develops and optimizes AI model-serving systems on GPU infrastructure, focusing on latency, reliability, and cost while working with tools like Triton, vLLM, and Kubernetes.
Senior Applied ML Engineer
Research and build continuous learning systems for self-improving AI agents on the OpenPipe team. You'll investigate RLHF, reward modeling, and on-policy distillation to solve production bottlenecks in agent training. Core stack uses PyTorch/JAX for model training with Kubernetes and Megatron for distributed GPU infrastructure.
AI Software Engineer (Vehicle Engineering)
SpaceX is hiring an AI Software Engineer in Hawthorne, CA to build, evaluate, and deploy AI systems for engineering and business needs — including agent training environments, evals/automated graders, and ML with limited data — using Python, PyTorch, Docker, and Kubernetes, and maintaining deployed systems in production.
Staff Machine Learning Engineer – (ADAS/Autonomous Driving)
Leads the integration and deployment of advanced perception models into production ADAS and autonomous driving systems, optimizing performance on automotive-grade hardware using C++, Python, CUDA, and TensorRT.
Software Engineer in Natural Language Processing (NLP) and Machine Learning (ML)
Are you interested in building amazing Generative AI experiences that will touch the lives of billions of people by utilizing state-of-the-art NLP and machine learning? Do you enjoy collaboration and team work to…
Staff Software Engineer, Machine Learning (Consumer Revenue)
Staff Machine Learning Engineer on Discord's Consumer Revenue ML team, building ranking, targeting, and recommendation systems for revenue surfaces (Shop, Nitro, Server Subscriptions, Gifting) using Python and deep learning/RecSys frameworks like PyTorch, JAX, or TensorFlow. US-based, remote or from the SF office.
Senior Staff Machine Learning Engineer, Perception, Simulation Realism
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo…
Machine Learning Engineer
Machine Learning Engineer Remote - European Union. Company based in Amsterdam, Netherlands. Our client, a growing Product Technology company based in Amsterdam , is looking for a Machine Learning Engineer to develop,…
Machine Learning Engineer, Platform Architecture
At Apple, our Platform Architecture group is responsible for connecting our hardware and software into one unified system. You’ll collaborate with engineers across Apple to design how our technologies work in unison,…
Machine Learning Intern (Masters) - Summer 2027
A 12-week Summer 2027 machine learning research internship for Masters students at DoorDash. The intern conducts applied ML/AI research (ranking, recommender systems, computer vision, causal inference, ads) to improve discovery, ads, forecasting, fulfillment, and search, using Python or systems languages and ML frameworks like TensorFlow/PyTorch.
Machine Learning Intern (PhD) - Summer 2027
DoorDash is hiring PhD students for a 12-week Summer 2027 machine learning internship in San Francisco, Sunnyvale, NYC, or Seattle. Interns conduct applied ML research (recommender systems, ranking, ads, computer vision, causal inference) to improve DoorDash's discovery, ads, search, forecasting, and fulfillment experiences.
Senior Machine Learning Engineer, Drive
Senior ML Engineer on DoorDash's Drive team, owning end-to-end machine learning systems for delivery ETA, merchant prep-time, and order release prediction, plus logistics optimization and AI quality signals built with deep learning, reinforcement learning, and LLMs/VLMs. On-site in San Francisco, Sunnyvale, or Seattle.
Senior Software Engineer, Machine Learning
Senior ML engineer on DoorDash's grocery/retail catalog team, designing, training, deploying and monitoring production machine learning models that keep the product knowledge graph accurate and semantically rich. Core stack includes PySpark, Snowflake SQL, PyTorch/scikit-learn-style frameworks, and AI coding tools like Claude Code and Cursor.
Staff Machine Learning Engineer, Personalization
Staff ML engineer building production personalization and growth models for DoorDash's consumer search across grocery and retail categories, partnering with product teams and mentoring juniors. Core work centers on Python ML (PyTorch/TensorFlow), causal inference, recommendation systems, and AI coding tools in a hybrid SF/Sunnyvale setup.
Staff Software Engineer, Machine Learning
Builds and ships machine-learning models and optimization algorithms (budget pacing, automated bidding) for DoorDash's ads platform and catalog/product knowledge graph, owning the end-to-end ML lifecycle from training through deployment, experimentation, and monitoring. Hybrid role using PyTorch, PySpark, and Snowflake.