Member of Technical Staff – ML Engineer, Product
Liquid AI
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • 🇺🇸 United States
Visit company websiteJob Level
Lead
About the role
- Build and evolve Liquid’s internal ML-to-developer platform layer
- Translate internal learnings from research and applied ML into scalable product workflows
- Develop systems that enable developers to customize and deploy models without needing ML expertise
- Collaborate closely with product engineers to define APIs, UX, and developer experiences
- Identify opportunities to automate or simplify what’s currently done manually in applied ML projects
- Shape the foundation that powers future ML-driven products and applications
Requirements
- Strong applied ML experience (training, fine-tuning, evaluation, deployment)
- Experience building tools, SDKs, or infrastructure for developers
- Deep understanding of how to expose ML capabilities through clean abstractions
- Familiarity with model optimization, distillation, or on-device inference a plus
- Comfort translating research into practical, productized workflows
Benefits
- Deep collaboration with world-class ML researchers and engineers
- Influence over how Liquid’s core technology reaches developers and enterprises
- A front-row seat in shaping how efficient AI becomes accessible at scale
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
applied MLtrainingfine-tuningevaluationdeploymentmodel optimizationdistillationon-device inference
Soft skills
collaborationcommunicationproblem-solving