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Senior Machine Learning Platform Engineer - Identity
Builds and operates the ML platform infrastructure powering feature engineering, model training, and model serving (including LLM inference) across Coinbase, supporting fraud detection, personalization, and blockchain analysis. Core work spans low-latency streaming pipelines, distributed training, and highly available inference services.
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.
Staff Machine Learning Engineer - Edge AI
Build and optimize AI models for edge devices to improve safety and efficiency in physical operations like transportation and logistics using petabyte-scale sensor and video data.
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.
Staff Machine Learning Engineer, AI Platform & Agentic Apps
Staff-level ML engineer building the agent harness behind every AI agent at Robinhood: orchestration, tool integrations, context/memory, trajectory-level evals, and action guardrails shipped as platform primitives for internal and customer-facing agents. Core stack is Python, LLMs, and distributed systems; hybrid role in Menlo Park, CA.
Senior Specialist Field Engineer - HPC/AI/ML
CoreWeave is hiring a Senior Specialist Field Engineer in Singapore to be the primary technical contact for customers running AI/ML workloads on its GPU cloud — leading Kubernetes setup, proofs of concept, and workload optimization. Requires 7+ years in cloud/HPC roles plus deep NVIDIA GPU, Infiniband/NCCL, Slurm and Kubernetes expertise.
Hardware Machine Learning PhD Research Internship
A PhD research internship at IMC Trading in Chicago focused on deploying machine learning onto custom hardware (FPGAs/ASICs) for low-latency ML inference. The intern owns a research project end-to-end, works hands-on with hardware engineers, and leaves behind a prototype or benchmark using tools like PyTorch/TensorFlow, VHDL/SystemVerilog, HLS, hls4ml, FINN, and Vitis AI.
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.
Machine Learning Engineer Intern - Summer 2027
A 10-week summer 2027 internship at proprietary trading firm IMC in New York, building systems that train and deploy large-scale ML models using GPU acceleration and distributed computing to support trading strategies. Includes mentorship, training, housing, and a path to a graduate role for strong performers.
Senior Computer Vision Engineer (m/f/d) Robotic Manipulation
Senior computer vision engineer on Agile Robots' AI team builds learning-based vision components (object detection, segmentation, pose estimation) and software architecture for robotic manipulation, integrating external research models onto dual-arm and humanoid robots. Core stack: C++, Python, ROS 2, and vision/vision-language models on real camera data.
Deep Learning Researcher
Research and deploy ML models to generate trading signals and optimize portfolios, collaborating with quants and engineers using Python and PyTorch/TensorFlow.
Staff Machine Learning Engineer
Staff ML engineer on Coinbase's CX Intelligence team, owning end-to-end design and delivery of production machine learning systems (LLMs, deep learning, graph neural networks, classical ML in Python) that power customer support routing, classification, evaluation, and safety. Also mentors engineers and drives technical strategy with cross-functional stakeholders.