4,652 ML Research & Training jobs
Open roles training and researching machine-learning models.
Scientist - AI & Machine Learning
Applied Scientist building next-generation neuro-symbolic AI — combining deep learning with symbolic knowledge, probabilistic programming, and program synthesis — for national-security R&D programs. Day to day: design and implement AI frameworks in Python (TensorFlow/PyTorch/JAX), debug and refine complex AI systems, and write reports, papers, and proposals. Hybrid role in Cambridge, MA.
Senior Machine Learning Engineer (Safety)
Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through…
Machine Learning Engineer (Safety)
Full-stack engineer building production AI systems end to end: Python/FastAPI backends, TypeScript frontends with React or Vue, data pipelines and cloud infrastructure on AWS/Azure/GCP with Docker. Works cross-functionally with data scientists and PMs on national security and AI safety client projects.
[STAGE 2026/2027] INNOVATION 4 - Comparaison des performances de modèles de deep learning (DL) pour la segmentation d’images médicales (H/F)
Nous recherchons un(e) stagiaire H/F pour rejoindre notre équipe innovation et prendre part à un projet d’imagerie médicale et d’intelligence artificielle (IA) dans le secteur de la Chirurgie Assistée par Ordinateur .…
Machine Learning Engineer
Build and maintain machine learning pipelines and production systems for credit scoring, fraud, and risk models at a fast-growing fintech company.
Senior Climate Machine Learning Scientist
Your Team Responsibilities Build physical climate risk models using state-of-the-art methodologies including AI numerical weather prediction applied to climate applications; stochastic ensembles; earth observing…
Deep Learning Engineer (음성 합성 개발)
Deep learning engineer on 42dot's Gleo AI team building production text-to-speech (TTS) for in-vehicle voice experiences. Day-to-day work spans optimizing TTS models for on-device/NPU environments (quantization, memory/latency), streaming synthesis, and multilingual/multi-speaker models using LLMs and flow matching, with PyTorch, TensorRT/ONNX, Python/C++ on Linux.
Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work Fro
Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home As the Staff Machine Learning Engineer, you own the execution layer of intelligence. You translate research direction into…
Lead Machine Learning Engineer
Worker Type Regular Job Description NOTE : to qualify for this role, you must be a U.S. Citizen Summary The Lead Machine Learning Engineer will be a strong individual contributor and technical leader in the Learning…
Senior Machine Learning Engineer
Worker Type Regular Job Description NOTE : to qualify for this role, you must be a U.S. Citizen Summary The Senior Machine Learning Engineer will be a member of the Learning and Active Perception (LEAP) group in AV’s…
Machine Learning Engineer
Worker Type Regular Job Description NOTE : to qualify for this role, you must be a U.S. Citizen Summary The Machine Learning Engineer will be a member of the Learning and Active Perception (LEAP) group in AV’s…
ML Engineer, Product
Early-career ML engineer at Mach9 builds 3D computer-vision perception models that extract objects and line features from LiDAR point clouds and imagery, powering the company's AI-enabled CAD/surveying product. You ship features end-to-end — data strategy, model training/fine-tuning, evaluation, and integration — using Python and PyTorch.
Senior Machine Learning Engineer: Computer Vision & 3D
Role Overview FitMatch is seeking a Senior Machine Learning Engineer to advance the computer vision and 3D reconstruction behind QuadraScan, starting with improving how we reconstruct human geometry from ordinary…
Staff AI/ML Platform Engineer
A Staff AI/ML Engineer on Medallia's AI Platform team sets the technical direction for the AI platform, architecting in-house and cloud-native ML infrastructure, data pipelines, APIs, and standards for next-generation AI products on the Medallia Experience Cloud SaaS platform. Core stack includes Python/Java/Scala, Kubernetes, Spark/Hadoop/Kafka, Postgres, and AWS.
Machine Learning Engineer II - Autonomous Driving Training Infrastructure
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our…
Lead Machine Learning Engineer - Localization
Lead a team to design and deploy machine-learning models that extract features from sensors and enable autonomous vehicles to localize precisely in real time across diverse roads.