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Senior Software Engineer
Senior Software Engineer at Stack AV developing online/offline mapping algorithms and ML/deep-learning systems for L4 self-driving trucks. Day to day: design, train, and optimize perception models (camera/lidar) for real-time, safety-critical onboard deployment using PyTorch, Python, C++, and TensorRT.
Financial Planning & Analysis Manager
ABOUT US At POWERX, we make power work. We deliver engineering, protection and control, commissioning, NETA field services, and compliance, supporting the full lifecycle of power infrastructure. With a multinational…
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.
Senior Machine Learning Engineer, CX
Senior ML Engineer on Coinbase's CX Intelligence Engineering team designs and builds AI-powered customer support systems: multi-agent LLM frameworks, chatbots, agent assist, and copilot tools that scale to millions of interactions. Core stack: Python, LLMs, LangGraph, Vertex AI/AWS Bedrock.
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.
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.
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.
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.
Senior Machine Learning Engineer, CX Intelligence
Designs and deploys AI-powered conversational systems (chatbots, multi-agent workflows) for Coinbase’s customer support, orchestrating LLM frameworks and vendor tools to improve millions of user interactions.
Machine Learning Engineer
Build and maintain AI-powered conversational systems that orchestrate interactions between vendor and internal LLM frameworks, enabling scalable customer support and agent workflows at a crypto exchange.
Engineering Manager - Machine Learning
Leads two Applied Machine Learning squads (American football and ice hockey) at Hudl, managing engineers and data scientists who build computer vision and deep learning systems for automatic game data generation, event detection and player tracking, delivering real-time insights to coaches. Hybrid role based in London, also open to remote candidates in the UK.