Applied ML Engineer
Adaption · San Francisco
- Posted
- 75 days ago
- Last confirmed live
- 2 days ago
What this role involves
This role involves working directly with strategic customers to identify and build ML solutions that fill product gaps. The Applied ML Engineer is responsible for end-to-end delivery, from discovery to deployment. The company focuses on building adaptive AI systems that evolve in real-time.
Skills this posting asks for
- pytorch
- jax
- tensorflow
- data modeling
- online learning
- reinforcement learning
- efficient ml architectures
- human feedback
- reward signals
- adaptive learning
- software engineering
Requirements
- 4 years of experience
- Remote policy: hybrid
From the employer’s posting
THE ROLE We're looking for an Applied ML Engineer who thrives at the intersection of applied research and building real-world products, and who's equally comfortable sitting across from a customer as they are in the codebase. You'll work directly with strategic customers tackling some of their mo…
Read the full description on Adaption’s careers pageApply without filling the form
Approve this role and the application is completed for you, including a résumé tailored to it. You get a confirmation when it lands, and a credit is only spent when a submission is confirmed.