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Senior Machine Learning Engineer

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: A1
Full Time position
Listed on 2026-05-08
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

A1 is building a proactive AI system that carries work forward across conversations, tools, and time. As a Senior Member of Technical Staff, Machine Learning, you will be an independent owner of critical ML subsystems in production. You will take ambiguous problems, design practical solutions, and ship systems that operate reliably s is a hands‑on, high‑impact role focused on depth.

Focus
  • Build core ML systems that power a proactive, long‑horizon AI product.
  • Own work end‑to‑end: data preparation, training, evaluation, inference, and iteration.
  • Turn research ideas into working systems that run reliably in production.
  • Debug model failures and system issues using real production signals.
  • Iterate quickly: ship, measure outcomes, refine, and repeat.
  • Collaborate closely with research, product, and engineering to deliver real user impact.
  • Mentor and review work from other ML engineers through example and technical judgment.
  • Work under real production constraints: latency, cost, reliability, and safety.
Tech Stack
  • Python
  • PyTorch / JAX
  • GPU‑based training and inference systems
Ideal Experience
  • You have built and shipped ML systems used by real users.
  • You understand how modern ML models behave — and misbehave — in production.
  • You write strong, production‑quality code and think in systems, not scripts.
  • You take ownership, work independently, and push work across the finish line.
  • You learn fast, communicate clearly, and improve through iteration.
Outcomes
  • ML models and systems in production consistently meet accuracy, latency, reliability, and efficiency targets.
  • Complex production issues are monitored, debugged, and resolved with minimal disruption.
  • Training, inference, and data pipelines are robust, scalable, and maintainable over time.
  • Drives measurable improvements in ML systems based on real‑world signals and user feedback.
  • Provides mentorship and technical guidance to peers, raising the overall ML engineering standard.
  • Collaborates cross‑functionally to ensure ML features integrate seamlessly into products and meet business goals.
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Position Requirements
10+ Years work experience
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