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Senior Software Engineer - ML Infrastructure
Senior engineer on the Performance Prediction team building ML infrastructure, data pipelines, and evaluation systems that track how Ford's hands-free autonomy behavior evolves release to release. Day-to-day work spans dataset curation, scalable training/evaluation pipelines, model development, metrics, and internal Python tooling.
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.
Cientista de Dados SR
Senior Data Scientist at ANBIMA (Brazilian financial-market association) building ML and generative-AI solutions end-to-end for its data products — prototyping predictive models, integrating LLMs/RAG, and monitoring models in production. Core stack: Python (pandas, NumPy, scikit-learn), SQL, Git; hybrid role based in São Paulo.
AI Engineer
AI Engineer on Ubisoft's Online Services R&D team in Bucharest, building end-to-end GenAI and Agentic AI prototypes, MVPs, and scalable components for online games — including LLM evaluation, dataset prep, RAG pipelines, and GitLab CI/CD automations — using Python, JavaScript, TensorFlow/PyTorch, FastAPI, and cloud platforms.
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.
Machine Learning Engineer
Machine Learning Engineer at Dorsia, an AI-native hospitality-tech startup in NYC: build and deploy models for search, ranking, recommendations, pricing, fraud detection, and demand prediction, owning the full ML lifecycle from data pipelines to real-time inference. Stack includes Python, SQL, PyTorch, scikit-learn, Airflow, dbt, and AWS; 5 days/week in the SoHo office.
Ingénieur/Ingénieure R&D en IA et modélisation statistique (H/F)
R&D engineer in AI and statistical modeling for NOA Autism Assistant, a digital tool supporting vulnerable people (notably autistic individuals). Day to day: translating needs into modeling problems, preparing data, building and comparing ML classification methods, prototyping in Python, evaluating and documenting models. Stack: Python, NumPy, Pandas, scikit-learn, PyTorch/TensorFlow, Git.
Staff AI Data Scientist
Hands-on senior AI Data Scientist at Conga researching, building, and deploying the NLP, ML, and Generative AI (LLM, RAG, fine-tuning) capabilities behind its revenue lifecycle management platform, which turns contracts, quotes, and agreements into insight. Expert Python/PyTorch work spanning experiments to production at scale.
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.
Account Solutions Architect
Solutions architect at CoreWeave, an AI cloud, acting as the technical partner to Korean/APAC customers — leading PoCs and technical evaluations with Sales, then advising customers as they train, deploy, and scale AI on CoreWeave's GPU infrastructure and MLOps/inference stack. Requires Python, hands-on LLM/deep-learning experience, MLOps/LLMOps, and English + Korean fluency.
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.
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).
Forward Deployed Engineer for Robotics (m/f/d)
Forward Deployed Engineer who works hands-on with international customers in Munich and on-site to deploy, customize, and commission robotic automation systems (robot arms, mobile manipulators), including integrating AI models like VLA policies. Core stack is C++ and Python on Linux, with up to 40% travel to customer sites.
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.
Data Scientist
We are looking for a Data Scientist who thrives on creating value, not just building models. This role sits within the Asia Intelligence team, a pragmatic, product-minded group focused on shipping data and AI solutions…