4,652 ML Research & Training jobs
Open roles training and researching machine-learning models.
Hardware Machine Learning Engineer
Design and deploy ML models directly onto custom hardware, co-architecting solutions with traders and engineers while optimizing for latency and resource constraints.
Machine Learning Engineer
Build and optimize large-scale ML training and inference pipelines for low-latency trading systems using Python, CUDA, PyTorch/TensorFlow, and GPU acceleration.
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.
Graduate Deep Learning Researcher - New York
Research and implement ML models for global trading strategies, deploying solutions in equities, futures, and options markets using Python and frameworks like PyTorch.
Deep Learning Research Intern - Summer 2027 - New York
Research intern designing ML models to analyze market data and inform trading strategies in equities, futures, and options.
Graduate Deep Learning Researcher - London
Research and implement ML models for global trading strategies in equities, futures, and options markets using Python and PyTorch.
Deep Learning Research Intern - Summer 2027 - Amsterdam
Research intern in Amsterdam and London building ML models to analyze market data and inform trading strategies for a global quantitative firm.
Deep Learning Research Intern - 2027 - Sydney
Machine Learning Research Intern developing and applying ML algorithms and predictive models to large-scale datasets for global trading strategies, using Python, PyTorch, TensorFlow, or JAX.
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.
AI/ML Engineer
AI/ML Engineer working via outstaffer MWDN for a US PropTech client building a roofing platform. Day to day: develop and improve computer-vision systems for aerial roof image recognition — training, fine-tuning, and deploying models with Python/PyTorch — while prototyping new AI applications across the product.
Machine Learning Engineer
Machine Learning Engineer on Viking's Data Platforms & Solutions team in Los Angeles, designing, deploying, and operating production ML systems for demand forecasting, pricing, inventory, and recommendations. Core stack is Python, SQL, Spark, Databricks, and MLflow with a strong MLOps focus.
Machine Learning Engineer Intern, AI & Robotics
Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company’s robots are engineered for demanding industrial environments, with a focus…
AI/ML Scientist/Developer
Develop AI/ML models to predict and optimize organoid growth protocols for biomedical research, using Python, TensorFlow/PyTorch, and biological data analysis at a NIH-funded center in Frederick, MD.
Senior Machine Learning Engineer
Builds ML/LLM-powered backend systems for Stampli's B2B accounts payable platform, owning projects from model training through production APIs and monitoring. Core stack includes Python, LLM frameworks (LangChain, Hugging Face, TensorFlow, PyTorch), distributed microservices, and AWS.
Ingénieur Machine Learning (F/H) – Stage
Internship at Greenerwave in Paris improving the robustness and reliability of training digital-twin ML models for antennas that steer electromagnetic waves. Day to day: reproducing and diagnosing trainings, testing projection/re-parameterization/penalization methods, and comparing model variants using Python and PyTorch.
Machine Learning Engineer (F/M) – Internship
Paris internship improving the training robustness of Greenerwave's physics-based digital-twin models that steer antenna electromagnetic waves. The intern reproduces and diagnoses training runs, implements convergence/stability methods, and compares model variants, working mainly in Python and PyTorch.
Senior Computer Vision and Machine Learning Research Scientist
Research and develop advanced computer vision and AI models for public safety and justice solutions, optimizing for performance and edge deployment.
Machine Learning Engineer (MLOps)
Build and maintain MLOps infrastructure to deploy, monitor, and scale machine-learning models for environmental and land-development analytics using Azure, MLflow, and CI/CD pipelines.