4,642 ML Research & Training jobs
Open roles training and researching machine-learning models.
Staff Tech Lead Manager, Machine Learning, Simulator Evaluation
Waymo is hiring a staff-level tech lead manager to lead its Simulator Evaluation ML team: architecting ML-driven metrics and evaluation frameworks that prove the realism of its autonomous-driving simulator (world models), building AI-powered internal eval tooling, and managing 5-10 engineers. Core stack: Python/C++, PyTorch/JAX/TensorFlow, large-scale GPU/TPU training.
Lead AI Software Engineer
Lead engineer at HP's new AI innovation lab (HP IQ) designing backend services that run AI workloads across cloud and edge devices. Day to day: build APIs, microservices, and an agent-orchestration runtime for LLMs, plus data pipelines, security, and observability — mainly with Java, C++, or Python.
Senior AI Software Engineer
Senior engineer at HP's AI innovation lab building backend services that run AI workloads across edge devices and cloud. Day to day: designing scalable microservices and APIs, optimizing data pipelines for real-time inference, and building an agent orchestration runtime for LLM tool use, memory, and multi-step reasoning using Java, C++, or Python.
Mid/Senior AI LLM Engineer (Full Remote - Europe)
Improve self-hosted open-weight LLMs powering EverAI's AI companionship platform (50M+ users): fine-tune with SFT, LoRA/QLoRA, DPO/GRPO, build training data and evals, fix model behavior, and ship experiments to production. Core stack: Python, PyTorch, Hugging Face, GPU training.
Machine Learning Engineer (Staff & Principal)
Senior/Staff-to-Principal ML engineer at Tubi (Fox's free streaming service) designing and deploying large-scale recommendation systems that power personalized viewing for 100M+ users. Day to day: building end-to-end ML pipelines (data extraction, training, testing, deployment) and optimizing models at scale using deep learning frameworks like TensorFlow and PyTorch.
Machine Learning Engineer (Staff & Principal)
Staff/Principal Machine Learning Engineer at Tubi (hybrid, Toronto) building recommendation and personalization systems for a free streaming service with 100M+ monthly viewers. Day to day: designing algorithms, building end-to-end ML pipelines, and training/deploying models at scale using TensorFlow/PyTorch.
Senior Machine Learning Engineer
Senior ML Engineer designing and deploying recommendation systems, search algorithms, and full-stack ML pipelines at scale for Tubi's free streaming platform.
Senior Applied ML Engineer
ELLKAY started out providing connectivity solutions to laboratories and within a few years, grew to also provide data management solutions to ambulatory organizations. ELLKAY is now a trusted data management partner in…
Applied AI Scientist (Ph.D) - On Site
A hands-on Applied AI Scientist in Autobrains' core R&D team in Tel Aviv, taking predictive driving models (vision-language models, motion prediction, imitation/inverse reinforcement learning) from research papers to production. The role spans cloud-scale training in PyTorch/Python through efficient edge deployment (quantization, compression) on embedded automotive platforms.
Physical AI Research Engineer (전문연 가능)
주요업무 모방학습, 강화학습, VLA(Vision-Language-Action) 등 Robot Learning 기반 정책(Policy) 연구·개발 및 고도화 로봇 학습을 위한 데이터 수집, 전처리, 모델 학습 및 평가 파이프라인 구축과 개선 최신 AI 및 Robot Learning 연구 기술의 구현, 실험 및 성능 검증 학습된 AI 모델을 실제 산업 현장에 적용·배포하고, 현장 환경에서…
[울산지사] Physical AI Engineer
주요업무 *전문연구요원으로 지원하는 경우, "전문연구요원 희망" 문구를 기재해주세요. Physical AI가 실제 가치 창출로 이어질 수 있도록 하는 연구 및 개발 VLA/RL 등 로봇 학습 알고리즘/모델의 고도화 (Keyword: 신뢰성, 강건성, 샘플 효율성) 주변의 비정형적 상황을 파악하고 대처할 수 있는 high-level 에이전트 및 시스템의 연구 및 개발 개발한 Physical…
AI Engineer
On-site AI Engineer at Twin Prime, an AI lab building real-time reasoning systems over sensor data for defense and security. Day to day: implement and fine-tune deep learning models (video, spatial, multimodal), build training/eval pipelines, and optimize inference for constrained hardware using Python and PyTorch.
Research Scientist - Control & Machine Learning
Gigaton (London) is hiring a Research Scientist to develop the ML-driven modelling, optimisation and control methods behind its autonomous AI systems that cut carbon emissions in heavy industry like cement, steel and glass. Day to day: turning live-plant challenges into research problems and deploying methods with engineers using Python/PyTorch.
Senior Machine Learning Engineer
Senior ML Engineer who leads the design, build, and deployment of production-grade machine learning systems and infrastructure for clients, including UK government. Day-to-day involves technical scoping, ML engineering with Python/TensorFlow/PyTorch, cloud and Kubernetes infrastructure, plus client advisory and mentoring junior engineers.
AI/ML Engineer I
Designs, develops, and deploys production computer-vision/ML solutions for retail at Everseen — owning ML components, running and presenting experiments, and moving models from research to production using Python, C++/CUDA, PyTorch, OpenCV, and Docker/Kubernetes on real-time video pipelines.