4,641 ML Research & Training jobs
Open roles training and researching machine-learning models.
AI Engineer - Large Scale Pre-Training
Builds and runs the training infrastructure for large-scale robot foundation models at a Munich AI/robotics startup: multi-node GPU cluster training software, petabyte-scale video data pipelines, and experiment management tooling. Core stack: Python, PyTorch/JAX, CUDA, NCCL, Slurm/Kubernetes.
Senior Machine Learning Engineer (Reinforcement Learning/World Model)
Design and deploy reinforcement learning algorithms for robotic control and motion planning in dynamic environments, integrating with hardware and simulation tools like Isaac Gym and PyTorch.
AI 개발자 팀원/팀장 (사원~과장)
주요업무 의료데이터 기반 AI 모델 기획, 개발 및 고도화 질병 예측, 환자군 분류, 치료 반응 예측 등 AI 알고리즘 개발 다기관·다형태 의료데이터(EMR, 영상, 유전체 등) 전처리 및 학습 파이프라인 구축 데이터 사이언스팀 및 기획, 임상 부서와의 협업을 통한 서비스화 자격요건 Python 기반 AI/ML 개발 경력 5년 이상 TensorFlow, PyTorch 등 딥러닝 프레임워크…
Machine Learning Engineer Intern
A 12-week summer 2027 internship on Coinbase's Machine Learning team in San Francisco (hybrid), where the intern owns a research-to-production project building and deploying ML models and pipelines for platform security, personalization, and crypto use cases using PyTorch/TensorFlow and production-quality Python.
Machine Learning Engineer (m/f/d) VLA Training & Evaluation
Builds model-agnostic frameworks for fine-tuning and benchmarking vision-language-action (VLA) robot foundation models on collected robot data at Agile Robots in Munich. Day-to-day involves PyTorch/JAX training loops, parameter-efficient fine-tuning (LoRA/adapters), diffusion and action-chunking policy training, benchmarks, and sim-to-real transfer studies.
Senior Machine Learning Engineer (m/f/d) Computer Vision for Robotics
Senior machine learning engineer designing and training deep-learning models in PyTorch for visual servoing in precision robot manipulation. Day-to-day: building 2D/3D perception (pose, depth, tracking), integrating models into closed-loop robot control, evaluating on real robots, and deploying real-time C++/Python inference pipelines optimized with ONNX, TensorRT, and CUDA.
Forward Deployed AI Engineer (m/f/d)
Forward Deployed AI Engineer at Agile Robots in Munich: train, fine-tune, and deploy AI models on real customer robots — Vision-Language-Action models, diffusion policies, perception and grasp-generation networks — while building data pipelines, optimizing inference on edge hardware, and supporting deployments on-site (up to 40% travel).
Senior Solutions Architect II, AI/ML
Senior Solutions Architect role advising DigitalOcean's largest customers on AI/ML cloud infrastructure, including deploying and fine-tuning LLMs (DeepSeek, Llama, Claude), optimizing GPU workloads with CUDA/TensorRT, and designing scalable AI applications using Kubernetes and NFS. Works closely with Sales and Customer Success teams to drive retention and expansion.
AI/ML Intern
AI/ML intern at Build Formula, an Ahmedabad-based software platform for the real estate industry. Day to day: preprocessing and analyzing data, training and evaluating ML models, and integrating AI tools/APIs and GenAI-powered features into the product using Python and frameworks like TensorFlow/PyTorch.
Staff Machine Learning Engineer
Leads end-to-end machine learning projects, architecting and deploying AI models to solve business problems while mentoring teams and collaborating with cross-functional partners in a commercial software company.
Sr. Machine Learning Engineer
Senior Machine Learning Engineer designs, implements, and optimizes ML models and pipelines in production, focusing on performance, scalability, and efficiency for Conga's commercial operations platform.
Senior Machine Learning Engineer, Discovery Recommendations
Senior ML engineer who designs, builds, and optimizes the recommendation systems powering Fortnite's Discover experience — retrieval, ranking, and reranking models over a fast-changing creator-content catalog, using PyTorch (TorchRec, Transformers), Ray, Databricks, and AWS, with A/B experimentation and ML serving infrastructure. Based in Cary, NC.
Senior Machine Learning Engineer, Discovery Recommendations
Designs, builds, and optimizes the recommendation systems behind Fortnite's Discover experience, working across retrieval, ranking, and real-time reranking for a massive, fast-changing catalog of creator content. Core stack includes PyTorch/TorchRec, Transformers, Ray, Databricks, Spark, and AWS.
Machine Learning Engineer, Memory
Design memory architectures for AI models to store, retrieve, and exploit experience across modalities, improving long-horizon decision-making in Unreal Engine tools.
Machine Learning Engineer, Memory
Design and build memory architectures for AI models across modalities, focusing on long-horizon behavior, storage, retrieval, and evaluation in production systems.
Machine Learning Programmer, Memory
Design memory architectures for AI models to store, retrieve, and exploit experience across modalities, improving long-horizon behavior and production-ready learning systems.