"cloud based ml platforms" Jobs

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

Showing 20 of 204 results

baseten

Join Baseten as a Cloud Platform Engineer to build scalable infrastructure for deploying machine learning models.

baseten San Francisco Published 1 year ago
Flexible on stack
Preference Model

Join Preference Model as a senior ML Platform Engineer to automate and enhance RL environment delivery for partner labs.

Preference Model San Francisco Published 2 weeks ago
Flexible on stack
HappyRobot

Join HappyRobot as a Machine Learning Engineer to build AI models for human-like conversations and shape the future of AI infrastructure.

HappyRobot San Francisco Published 3 months ago
Flexible on stack
Databricks

Join Databricks as a Senior Backend Software Engineer to build infrastructure for AI applications and improve distributed AI workloads.

Databricks Mountain View, California; San Francisco, California $166k–$225k/yr Published 1 year ago
Flexible on stack
Inferact

Join Inferact as a cloud orchestration engineer to build reliable systems for AI model deployment at scale.

Inferact San Francisco $200k–$400k/yr Published 9 months ago
Flexible on stack
baseten

Join Baseten as an Infrastructure Software Engineer to build and maintain components of our ML inference platform for AI applications.

baseten San Francisco Published 1 year ago
Flexible on stack
Xaira Therapeutics

Join Xaira Therapeutics as a Senior Software Engineer to build AI infrastructure for drug discovery and development.

Xaira Therapeutics Seattle, Washington, United States $189k–$245k/yr Published 5 months ago
Flexible on stack
baseten

Join Baseten as a Software Engineer to build the distributed runtime for large-scale LLM inference in a high-impact team.

baseten San Francisco Published 1 month ago
Braze

Join Braze as a Staff Machine Learning Engineer to lead transformative initiatives in ML production systems for personalized customer experiences.

Braze San Francisco $184k–$314k/yr Published 1 month ago
Flexible on stack
Anthropic

Join Anthropic's Cloud Inference team to design and optimize backend services for AI systems across multiple cloud platforms.

Anthropic San Francisco, CA | Seattle, WA $320k–$485k/yr Published 1 month ago
Flexible on stack
Databricks

Join Databricks as a Senior Applied ML Engineer to optimize infrastructure and enhance serverless compute products.

Databricks San Francisco, California $16k–$21k/mo Published 3 months ago
Flexible on stack
Reddit

Design and deploy machine learning models to optimize ad ranking and bidding at Reddit.

Reddit San Francisco, CA $216.7k–$303.4k/yr Published 5 days ago
Flexible on stack
Databricks

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

Databricks United States $180k–$247.5k/yr Published 2 months ago
Flexible on stack
baseten

Lead a team of cloud platform engineers to build scalable and reliable infrastructure for AI products at Baseten.

baseten San Francisco Published 5 months ago
Flexible on stack Heavy meetings
Inferact

Join Inferact as a Site Reliability Engineer to enhance the reliability and performance of AI inference systems at scale.

Inferact San Francisco $200k–$400k/yr Published 1 month ago
Flexible on stack AI-first team
Handshake

Join Handshake as a Machine Learning Engineer I to develop AI-powered solutions that guide students in their career journeys.

Handshake San Francisco, CA Published 1 month ago
Flexible on stack
Labelbox

Join Labelbox as a Staff ML Engineer to shape AI training environments and systems in a high-impact, fast-paced setting.

Labelbox San Francisco Bay Area $250k–$280k/yr Published 3 months ago
Flexible on stack
baseten

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

baseten San Francisco Published 9 months ago
Flexible on stack