1,058 ml research engineer jobs at 461 companies in United States
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ML Research Engineer
Cupertino, California, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designing and manufacturing consumer electronics, software, and digital services.
Experience across the full ML lifecycle including training infrastructure, performance optimization, data pipelines, and production deployment to support next-generation video technology.
Requires Python and software engineering fundamentals, large-scale data engineering, ML training experience, signal processing, statistics, unsupervised analysis, and sensor-data debugging; C++ is a plus.
CACINYSE: CACI: Provider of specialized IT and mission-critical government services.
7+ YOEUS citizen with active Top Secret clearance, Bachelor's in CS/CE/ML + 7+ years experience; strong ML/statistics background; experience in networking/edge computing; proficiency in Python, C++, and Linux.
CACINYSE: CACI: Provider of specialized IT and mission-critical government services.
7+ YOEUS citizen with active Top Secret clearance, Bachelor’s in CS/CE/ML +7 years experience; strong ML/statistics background, algorithms for networking/edge, Python and C++, Linux, TCP/IP, simulation and evaluation skills.
ML Research Engineer / Scientist (Remote, international)
United States
RemoteFull Time
a2z Radiology AI: Medical technology building AI software that triages urgent abdomen-pelvis CT findings for radiologists and hospitals.
Experience building and training ML models (PyTorch); strong experimentation, reproducibility, and critical thinking; familiarity with medical imaging and vision-language approaches is helpful.
Rad AI: Healthcare AI software helping radiologists automate reporting and patient follow-up while reducing documentation burden.
4+ YOE4+ years of applied ML research or engineering experience, strong Python and PyTorch skills, full-lifecycle ML project ownership, and an MS, PhD, or equivalent experience in a quantitative field.
Johns Hopkins Applied Physics Laboratory: University-affiliated research center serving national security and science.
Bachelor's or master's degree in computer science or engineering, AI/ML research experience, Python and PyTorch proficiency, U.S. citizenship, and eligibility for Interim Secret and Top Secret clearances.
SandboxAQ: Private AI and quantum solutions delivering large quantitative models for enterprise applications in life sciences, cybersecurity, and financial services.
5+ YOEPhD or research-focused MSc in quantitative field,5+ years production software experience, experience translating research to production, structural biology exposure, and advanced MLOps/cloud experience.
Senior AI/ML Research Engineer – Model development
Sunnyvale, California, United States
$167k-$283k/yrOnsiteFull Time
IntuitiveNASDAQ: ISRG: Global leader in robotic-assisted and minimally invasive surgery.
5+ YOEMS or PhD in CS/EE/Robotics, 5+ years applied AI/ML research experience; experience training/fine-tuning multimodal/foundation models, simulation-to-real workflows, and strong Python/C++ and PyTorch/TensorFlow/JAX skills.
ML Systems Research Engineer, RL / Inference / Agent Systems
Santa Clara, California, United States
HybridFull Time
AMDNASDAQ: AMD: Leader in high-performance computing, graphics, and visualization technologies.
Experienced ML systems engineer with strong Python and ML framework skills, experience in RL/inference systems, distributed experimentation, and GPU/infrastructure workflows; advanced degree preferred.
Python, PyTorch, JAX, TensorFlow, Kubernetes, Ray, Slurm, ROCm, HIP, CUDA
Permute: Business-intelligence software connecting enterprise systems for trusted reporting and analysis for finance, operations, and strategy teams.
5+ YOERequires strong machine learning research and systems experience, PyTorch model development, algorithms, statistics, optimization, software architecture, and 5+ years building ML or performance-sensitive software systems.
Vancouver or San Francisco or San Jose or Cork or London
$160k-$180k/yrHybridFull Time
Tigera: Secures and observes Kubernetes workloads and AI agents, and created Cali Open Source.
5+ YOERequires 5+ years of ML engineering experience, including 2+ years deploying production ML systems, strong classical ML and anomaly detection skills, LLM application experience, Python, ML frameworks, telemetry data, and communication skills.
Deepgram: Private voice AI platform providing speech-to-text, text-to-speech, and voice-agent APIs to developers and enterprises.
Production ML engineering experience taking models from research to production; strong Python skills; experience with PyTorch, distributed/GPU compute, ML pipelines, evaluation and inference optimization.
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
8+ YOEMSc or PhD in computer science, electrical engineering, or related field, or equivalent experience; 8+ years in applied ML or AI research; expertise in deep learning, diffusion models, foundation models, simulation, and ML deployment.
Clera: AI-powered talent agent matching candidates to startup roles.
3+ YOE3–10 years in ML research, applied ML, or ML systems engineering; expertise in PyTorch, JAX, or TensorFlow; experience with Transformers, diffusion models, or RLHF; distributed training and evaluation skills.
Decagon: Conversational AI platform for enterprise customer experience automation.
2+ YOE2+ years AI/ML engineering or research experience, experience training and deploying LLMs, fluency in Python and modern ML tooling, track record of productionizing research.
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
8+ YOEMSc, PhD, or equivalent experience; 8+ years in applied ML or AI research; deep learning, diffusion, generative, foundation models, simulation, and end-to-end ML development expertise.
Antimetal: Private AI-powered infrastructure-management platform that helps engineering teams diagnose, fix, and prevent production issues.
4+ YOE4+ years applied ML/research engineering experience, production ML and agent/LLM work, proficiency in Python and Typescript, evaluation pipeline experience, strong statistical and problem-solving skills.
AfterQuery: N AI applied research lab serving frontier model developers with training data and evaluation systems.
2+ YOERequires 2+ years of ML engineering, research engineering, or ML infrastructure experience; strong Python and software engineering skills; PyTorch, JAX, Ray, Slurm, LLM fine-tuning, post-training, and evaluation experience.