861 deep learning engineer jobs at 304 companies in United States
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Deep Learning Engineer
Palo Alto, California, United States
$170k-$300k/yrOnsiteFull Time
Matroid: Private computer-vision helping enterprises automate visual inspection and detect objects, defects, and events.
3+ YOEMaster's or equivalent, 3+ years industry/academic experience in software, deep learning and computer vision; strong software engineering, communication, and research skills.
Quidient: Spatial AI specializing in Generalized Scene Reconstruction software.
6+ YOEGraduate-level degree in CS/EE/ML,6+ years deep learning research/engineering,domain expertise in light transport/3D vision/SLAM,C++ and Python proficiency,PyTorch experience,ability to implement and evaluate novel architectures.
NBCUniversalNASDAQ: CMCSA: A leading global media and entertainment.
5+ YOEMaster's degree and 5+ years of relevant experience. Requires Python, Git, Unix shell, deep learning, machine learning, mathematical foundations, and experience with large 2D or 3D media datasets.
SumerSports: AI-powered football intelligence serving professional and collegiate teams with scouting, roster, and performance analytics.
Experience shipping deep-learning models at scale; proficiency with PyTorch, PyTorch Lightning, distributed training, attention variants, and model evaluation; football expertise and clear communication skills.
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
15+ YOE15+ years deep learning and systems experience; proficiency in Python and C++; strong computer architecture and GPU/parallel datacenter computing knowledge; performance analysis and tuning experience.
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
15+ YOEBS, MS, or PhD in a relevant field or equivalent experience; 15+ years in deep learning and systems design; Python and C++; computer architecture, GPU computing, and performance optimization expertise.
Imagry: Private autonomous-driving software serving public-transit operators with HD-mapless AI for buses and passenger vehicles.
3+ YOEMSc (or equivalent experience) in quantitative field, 3+ years developing deep learning algorithms, strong computer vision and math skills, PyTorch and Python proficiency, English fluency, eligible to work in the US.
Hayden AI: Private American technology building vision AI and vehicle-mounted systems for safer, more efficient city transit.
1+ YOE1-2 years building and deploying ML perception models in production; Bachelors or Masters in Computer Science or related; hands-on PyTorch and Python; cloud experience (AWS/GCP/Azure); familiarity with MLOps, NVIDIA edge stack and CUDA.
Bot Auto: Autonomous trucking operating a fleet and providing Transportation as a Service to shippers and 3PLs.
Advanced degree in CS/engineering/robotics/math/physics; deep expertise in machine learning and computer vision, transformers and SOTA techniques; familiarity with PyTorch and TensorFlow; independent and collaborative researcher.
Ripple Effect: Woman-owned consulting firm serving federal, private, and nonprofit clients with policy, research, communications, and technical services.
5+ YOEMaster's degree and 5+ years in image analysis, machine learning and deep learning; experience with medical image processing, GPU clusters, Python/Keras/PyTorch, publication record, and clinical data analysis.
Linux, Windows, Python, Keras, PyTorch, Microsoft Teams, Microsoft SharePoint, Microsoft Office
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
15+ YOE15+ years in deep learning and systems design; proficiency in Python and C++; strong understanding of computer architecture and GPU/parallel datacenter computing; experience in performance analysis and modeling.
DoorDashNYSE: DASH: Technology enabling local on-demand delivery and commerce.
BS, MS, or PhD in CS, EE, Robotics, or related field; deep RL and deep learning expertise; large-scale RL training; JAX or similar framework; GPU simulation and software development experience.
JAX, Claude Code, Codex, Cursor, NeurIPS, ICML, ICLR, CoRL, RSS, ICRA
Campus AI Research Engineer - Deep Learning (Intern)
Chicago or New York City
$300k/yrOnsiteInternship
Jump Trading: Privately held proprietary trading firm using research and technology to trade global financial markets.
Strong ML research background with deep learning experience, publications or open-source contributions, proficiency in Python/C++, and familiarity with PyTorch/JAX/TensorFlow; ability to develop and productionize large ML models.
Persona AI: Private U.S. robotics building humanoid robots for welding, fabrication, shipyards, construction, and other heavy-industrial work.
3+ YOEMSc/PhD in Robotics/CS, 3+ years applying deep learning to robotic manipulation, strong software skills, experience with large-scale data and cloud, strong research and engineering ability.
Bardeen: Private AI workflow-automation software serving business teams with browser-based agents and lead-generation tools.
1+ YOEMaster's in computational science and engineering or related machine learning field plus 1 year of experience with deep learning, LLMs, Python, cloud infrastructure, evaluation, monitoring, and distributed inference.
KLA CorporationNASDAQ: KLAC: Global leader in process control and yield management solutions.
0+ YOEPhD or Master’s+3yrs in EE/CS/related; strong deep learning and GenAI experience for vision, model optimization (mixed/reduced precision), publications or impactful projects, proficiency in Python and a second language (C++, Java, Rust, or Go), and experience with PyTorch/TensorFlow/JAX. Travel up to 10%.
Shelfmark: Physical AI providing managed visual inspection and production intelligence for continuous-flow manufacturers.
Experience training, evaluating, and deploying deep learning and computer vision models (PyTorch/TensorFlow); expertise in anomaly detection, image processing, and edge model optimization.
Bjak: Southeast Asia's leading online insurance platform and fintech.
Deep learning and transformer expertise; production ML model experience; ML framework proficiency; distributed training, GPU optimization, software engineering, and end-to-end ML systems ownership.
AtlassianNASDAQ: TEAM: Unleashing the potential of every team.
Principal-level machine learning engineer with deep ML expertise, product instinct, systems thinking, and experience building production AI systems, experimentation workflows, and customer-facing features.
Maxinsights: Private robotics data platform providing scalable human-centric training data to physical-AI companies.
3+ YOE3+ years building and shipping ML systems, proficiency in Python and major deep learning frameworks (PyTorch or TensorFlow), experience with training/evaluation/deployment and production ML pipelines.