"deep learning frameworks" Jobs

3203 open tech roles matching “deep learning frameworks”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, Kubernetes. Every listing is re-checked daily and closed roles are removed.

Showing 20 of 3203 results

Abridge

Join Abridge as a Machine Learning Infrastructure Engineer to optimize AI model inference infrastructure in a fast-paced healthcare startup.

Abridge SF Office Published 1 year ago
Flexible on stack
Coreweave

Join CoreWeave as a Staff Applied ML Engineer to tackle challenges in continuous learning for AI agents with a highly autonomous team.

Coreweave Sunnyvale, CA / Bellevue, WA $185k–$275k/yr Published 5 months ago
Flexible on stack 60% coding
Twelve Labs

Lead the development of next-generation multimodal models at Twelve Labs, impacting thousands of customers worldwide.

Twelve Labs Seoul, South Korea Published 1 week ago
Flexible on stack
Genesis Molecular AI

Join Genesis Molecular AI as a Machine Learning Infrastructure Engineer to build innovative data systems for drug discovery.

Genesis Molecular AI San Mateo, CA Published 9 months ago
Flexible on stack
Genmo

Join Genmo as a Research Engineer to advance visual generative AI in a fast-paced startup environment.

Genmo San Francisco HQ Published 1 month ago
Flexible on stack
Databricks

Serve as a trusted technical expert in AI/ML, designing and deploying production-level architectures for Databricks customers.

Databricks Central - United States; West Coast - United States $180k–$247.5k/yr Published 4 weeks ago
Flexible on stack
baseten

Join Baseten as a Software Engineer focusing on Model APIs to enhance AI model performance and developer experience.

baseten San Francisco Published 11 months ago
Databricks

Join Databricks as a Senior Full Stack Developer to design and deploy scalable AI agents leveraging Large Language Models.

Databricks Bengaluru, India Published 1 month ago
Flexible on stack
World Labs

Join World Labs as a Research Engineer/Scientist to advance robot learning systems and tackle challenges in AI and robotics.

World Labs San Francisco $250k–$350k/yr Published 1 month ago
Flexible on stack
Perplexity AI

Join Perplexity AI as an AI Inference Engineer to optimize and develop our inference engine for various model architectures.

Perplexity AI London Published 5 months ago
Flexible on stack
Ambient

Design and optimize AI infrastructure for real-time intelligence at Ambient.ai, enhancing security through advanced AI models.

Ambient Redwood City Published 2 months ago
Flexible on stack 70% coding
Netic

Join Netic as an Applied AI Research Engineer to drive impactful ML projects in a cutting-edge AI-first environment.

Netic San Francisco Published 1 year ago
Flexible on stack
Discord

Join Discord as a Senior Software Engineer to develop machine learning models that enhance ad relevance and drive revenue.

Discord San Francisco Bay Area $220k–$275k/yr Published 1 month ago
Flexible on stack
Hippocratic AI

Join Hippocratic AI as an Applied Scientist to enhance AI safety and clinical reasoning through reinforcement learning.

Hippocratic AI Menlo Park, CA Published 1 month ago
Flexible on stack
krea.ai

Join Krea as an ML Engineer to build personalization and recommendation systems that enhance creative AI tools.

krea.ai San Francisco Published 8 months ago
Flexible on stack 70% coding
Freenome

Join Freenome as a Senior Machine Learning Engineer to develop and optimize deep learning pipelines for cancer detection.

Freenome Remote $173.8k–$246.8k/yr Published 1 month ago
Flexible on stack
Ambient

Design and optimize AI infrastructure for real-time intelligence at Ambient.ai, enhancing security through advanced machine learning models.

Ambient Redwood City, United States Published 1 day ago
Flexible on stack 70% coding
Graphcore

Join Graphcore's Triton team to enhance AI frameworks and improve performance on cutting-edge hardware.

Graphcore Bristol, UK; Gdańsk, Pomeranian Voivodeship, Poland Published 2 weeks ago
Flexible on stack