"ml training infrastructure" Jobs

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

Showing 20 of 873 results

Reflection AI

Build and scale distributed training systems for frontier model pre-training at Reflection AI.

Reflection AI San Francisco, CA Published 6 months ago
Flexible on stack
Cursor

Lead a team of engineers to build infrastructure for training and evaluating ML models in a flat, innovative organization.

Cursor San Francisco Published 3 months ago
Heavy meetings
Mercury

Build and operate real-time inference services for risk decisioning in a fast-growing fintech startup.

Mercury San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States $166.6k–$208.3k/yr Published 1 month ago
Flexible on stack
Iambic Therapeutics

Join Iambic Therapeutics as a Machine Learning Scientist to innovate AI-based drug discovery with multimodal models.

Iambic Therapeutics UK Office Published 1 month ago
Flexible on stack
Atoms

Join Lab37 Robotics as a Cloud Platform Infrastructure Engineer to build scalable ML infrastructure for innovative robotic solutions in food production.

Atoms Pittsburgh, PA $140k–$174.5k/yr Published 1 month ago
Flexible on stack
Sprinter Health

Join Sprinter Health as a Staff Machine Learning Engineer to build and lead the ML engineering function in a hybrid work environment.

Sprinter Health San Francisco, CA Published 2 months ago
Applied Intuition

Join Applied Intuition as a Senior Software Engineer to design and implement ML infrastructure for deep learning model training.

Applied Intuition Sunnyvale $215k–$285k/yr Published 3 years ago
Flexible on stack
Fundamental

Join Fundamental as an ML Researcher to tackle technical challenges in developing breakthrough Machine Learning models for enterprise decision-making.

Fundamental Europe Published 1 week ago
Flexible on stack
Fundamental

Join Fundamental as an ML Researcher to tackle groundbreaking challenges in AI model development for enterprise decision-making.

Fundamental Barcelona Published 11 months ago
Flexible on stack
Macroscope

Join Macroscope as a Senior Backend Infrastructure Engineer to shape and scale core services and inference platforms.

Macroscope San Francisco Published 1 week ago
Flexible on stack
Mecka AI

Join Mecka AI as a Full-Stack Engineer to build critical infrastructure and tooling for machine learning in robotics.

Mecka AI Toronto, Canada Published 1 month ago
Flexible on stack
Gimlet Labs

Build inference systems for AI models in production at Gimlet Labs, focusing on performance and efficiency.

Gimlet Labs San Francisco, CA Published 7 months ago
Flexible on stack
Preference Model

Join Preference Model as a Research Engineer to advance self-directed learning in large language models within a fast-paced startup.

Preference Model San Francisco Published 1 month ago
Flexible on stack
Reflection AI

Join Reflection AI as a Forward Deployed Engineer to fine-tune models and work directly with enterprise customers in a dynamic startup environment.

Reflection AI San Francisco, CA Published 5 months ago
baseten

Join Baseten as a senior software engineer to develop cutting-edge AI training products and enhance user workflows.

baseten San Francisco Published 8 months ago
Flexible on stack
ChipAgents

Join ChipAgents as an ML Systems Engineer to optimize LLM inference systems for leading semiconductor companies.

ChipAgents San Jose $150k–$350k/yr Published 4 months ago
Flexible on stack
Iambic Therapeutics

Join Iambic Therapeutics as a Machine Learning Scientist to innovate AI-based drug discovery with multimodal models.

Iambic Therapeutics Boston Office Published 1 month ago
Flexible on stack
MaintainX

Lead the technical direction for predictive maintenance and asset intelligence initiatives at MaintainX, leveraging deep ML expertise.

MaintainX San Francisco Published 2 months ago
Flexible on stack