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This listing was closed on Jul 17, 2026.
Browse Open JobsApplied ML Engineer
SAN FRANCISCO · US
—
Full-time
SENIOR
About the Role
We're looking for an Applied ML Engineer who thrives at the intersection of applied research and building real-world products, working directly with strategic customers to identify high-leverage opportunities and build production-grade ML solutions. You'll design adaptive ML systems across varied customer tech stacks, own outcomes from discovery through deployment, and raise the bar through compelling demos and technical presentations.
Responsibilities
- Find and Unlock Alpha: Go deep on customer problems and data workflows to identify the highest-leverage opportunities and build solutions.
- Ship What's Missing: Identify product gaps through hands-on customer engagement and implement production-grade ML solutions.
- Drive Adaptable Data Strategy: Lead design and implementation of efficient, adaptive ML systems across production environments and varied tech stacks.
- Own the Outcome: Serve as strategic and technical partner from discovery through deployment, accountable for results.
- Raise the Bar: Develop compelling demos, deliver technical presentations to senior stakeholders, and set the standard for customer excellence.
Requirements
- 4+ years experience in machine learning, applied research, or systems-level engineering for AI
- 2+ years in a customer-facing technical role
- Strong software engineering skills and familiarity with ML frameworks (e.g., PyTorch, JAX, TensorFlow)
adaption
San Francisco · US · 5+ employees
Adaption (often referred to as Adaption Labs) provides an adaptive AI-based enterprise infrastructure platform. It specializes in malleable datasets and gradient-free systems for deploying AI models on secure, private infrastructure.
