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Staff Software Engineer, AI/ML

Nimbus Data Systems · Worldwide · Posted 22d ago

hybridFull-timelead8+ yrs225000-282000 USD
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Available in 2 locations

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About the role

Define and execute feedback-driven AI research agenda and build production learning systems.

📋 Description Own the feedback learning roadmap. Define and execute the feedback-driven AI research agenda. Translate feedback data into training and optimization strategies. Stay close to RLHF/RLAIF and related methods; know when to apply. Build production learning systems and learning loops for agent behavior. Build evaluation frameworks for reasoning quality, instruction following, and outcomes. 🎯 Requirements 8+ years building production AI/ML systems (LLMs, agentic, etc). Hands-on RL, reward modeling, fine-tuning, or human feedback. Strong Python and at least one production systems language. Balance model quality, latency, reliability, cost, and maintainability. Experience with RLHF, RLAIF, DPO, PPO, GRPO, or related techniques. Senior IC / Staff with equivalent senior experience. 🎁 Benefits Career development resources, conference reimbursements, LinkedIn Learning. Well-being benefits including EAP, meetups, flexible time off. Equity compensation and Employee Stock Purchase Program. Hybrid work options and a high-performance culture.

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Why this role stands out

  • Pays more than 88% of comparable ml roles paid in USD
  • Hiring worldwide — no location constraint

FAQ

Is the Staff Software Engineer, AI/ML role at Nimbus Data Systems remote?+

This Staff Software Engineer, AI/ML position is listed as hybrid (Worldwide).

What is the salary for the Staff Software Engineer, AI/ML role at Nimbus Data Systems?+

The listing states 225000-282000 USD.

What seniority level is this Staff Software Engineer, AI/ML role?+

This is a lead level position.

How do I apply for the Staff Software Engineer, AI/ML role at Nimbus Data Systems?+

Use the "Apply on empllo" button to open the original posting on empllo, where you can submit your application directly to Nimbus Data Systems.