"ml infrastructure" Jobs

296 open tech roles matching “ml infrastructure”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, PyTorch. Every listing is re-checked daily and closed roles are removed.

Showing 20 of 296 results

Stripe

Join Stripe as a Staff Engineer to lead the development of AI-first payment intelligence solutions impacting global transactions.

Stripe Seattle, New York, San Francisco Published 1 month ago
Flexible on stack AI-first team
Anthropic

Join Anthropic as a Staff Engineer to lead the technical direction of the Inference Runtime for AI systems serving millions of users.

Anthropic Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY $405k–$485k/yr Published 3 months ago
Flexible on stack
Reflection AI

Join Reflection AI as a Member of Technical Staff to research and build solutions for large language models in a fast-paced startup environment.

Reflection AI San Francisco, CA Published 11 months ago
Flexible on stack
Reddit

Join Reddit as a Senior Staff Machine Learning Engineer to redefine ML engineering with agentic AI in a fully remote role.

Reddit Remote - United States $292.5k–$409.5k/yr Published 1 week ago
Flexible on stack
Headway

Join Headway as a Staff Software Engineer to build systems that power insurance operations in mental healthcare.

Headway Remote $224k–$336k/yr Published 1 month ago
Flexible on stack
Pinterest

Join Pinterest as a Staff Machine Learning Engineer to develop state-of-the-art visual AI models in a collaborative environment.

Pinterest San Francisco, CA, US; Remote, US $189.3k–$389.8k/yr Published 2 months ago
Coreweave

Lead the establishment of CoreWeave's autonomous vehicle vertical as a Staff Specialist Field Engineer.

Coreweave San Francisco, CA / Sunnyvale, CA $161k–$215k/yr Published 3 months ago
Flexible on stack 60% coding
Inworld AI

Join Inworld AI as a Staff/Principal Research Scientist to innovate in real-time voice models and impact AI applications globally.

Inworld AI UK £140k–£200k/yr Published 6 months ago
Faire

Own the technical vision of Faire’s ML platform, leading cross-functional initiatives to enhance data science velocity at scale.

Faire Remote - US; San Francisco, CA $295k–$405.5k/yr Published 1 month ago
Flexible on stack
Roboflow

Join Roboflow as a Member of Technical Staff to advance frontier model capabilities in AI with a focus on building scalable environments and datasets.

Roboflow San Francisco $150k–$300k/yr Published 4 weeks ago
Pika

Join Pika as a Senior/Staff ML Engineer to enhance AI-driven products through advanced inference acceleration and GPU optimization.

Pika Palo Alto HQ Published 3 months ago
Flexible on stack
Databricks

Architect and deliver Databricks' AI-native vertical workflow platform as a Staff Software Engineer for Customer Experience Intelligence.

Databricks Mountain View, California; San Francisco, California $164.2k–$225.7k/yr Published 2 months ago
Okta

Join Okta as a Staff Machine Learning Engineer to architect and deploy scalable Generative AI systems in a hybrid work environment.

Okta Toronto, Ontario, Canada CA$168k–CA$231k/yr Published 1 month ago
Flexible on stack
Anthropic

Join Anthropic as a Staff+ Software Engineer to build and scale Claude Managed Agents in a rapidly growing team.

Anthropic San Francisco, CA | New York City, NY $405k–$485k/yr Published 1 month ago
Phylo

Join Phylo as a Member of Technical Staff to advance AI agents for biomedical discovery through engineering and evaluation.

Phylo South San Francisco Published 2 months ago
Coreweave

Lead the Robotics vertical as a Staff Specialist Field Engineer, deploying AI solutions and building customer-facing applications.

Coreweave San Francisco, CA / Sunnyvale, CA $177k–$237k/yr Published 3 months ago
Flexible on stack
Pinterest

Lead the development of Pinterest's data infrastructure for big data and AI applications at a large scale.

Pinterest Palo Alto; Seattle, WA; New York, NY; San Francisco, CA, US; Remote, US Published 4 weeks ago
Flexible on stack