Senior Applied Ml Engineer Ml4sys Jobs in San Francisco, CA

RDQ127R59 Summary As a Senior Applied ML Engineer on the Applied AI team at Databricks, you will use machine learning,

This is applied ML on messy, high-dimensional, real-world healthcare data, not a research role, and not an LLM-wrapper role.

ML engineers, and platform engineers Required Qualifications 4+ years of experience in machine learning research

AI/ML Why Join Our Engineering Culture?

…systems to power prescient healthcare, apply to join us.

…not a Partner Roboticist or Applied Research role.

Experience interviewing or mentoring ML engineers. Open-source contributions to ML, agent, or evaluation tooling.

As Weave’s Founding ML Engineer, your job is to build ML systems to understand and improve the work that software engineers do.

As a manager of Applied AI Engineers for Anthropic's Megas segment, you will lead a team of deeply technical engineers embedded with our largest and

…you will report to a Senior Staff Software Engineer.

Terraform), containerization, and modern platform engineering practices.

We’re hiring a Senior Software Engineer with real industry experience, someone who has built and maintained production systems, seen them break, and knows

About this role As a Senior Backend Engineer at David AI, you’ll work across product surfaces to design clean

…a founding member of the engineering team, you’ll shape the architecture and the standards everyone else builds against