Senior Engineering Manager, Ai Research And Development

Robinhood

Bellevue, WA, US
Base: $298,000 - $350,000 usd; bonus/equity: eligi...
On-site (5 days a week)
Applied machine learning experience
Large language models (llms) productionization
Engineering leadership and team scaling
Robinhood is seeking a Senior Engineering Manager for their AI Research and Development team, responsible for building AI and ML infrastructure to enhance their financial products. The role requires strong leadership in engineering, particularly in applied machine learning, and emphasizes in-person collaboration at their Menlo Park, CA or Bellevue, WA offices

Job Summary

  • The role involves leading the creation of foundational AI and ML infrastructure to empower product teams in building scalable features.
  • Candidates must have a proven track record of managing managers and driving organizational development within an engineering context.
  • This position requires in-person attendance five days per week at either the Menlo Park or Bellevue office to foster innovation.

Matching Summary

Match Score: 85

Robinhood is seeking a Senior Engineering Manager for their AI Research and Development team, responsible for building AI and ML infrastructure to enhance their financial products. The role requires strong leadership in engineering, particularly in applied machine learning, and emphasizes in-person collaboration at their Menlo Park, CA or Bellevue, WA offices.

Salary

Base: $298,000 - $350,000 USD; Bonus/Equity: Eligible for bonus opportunities and equity; Benefits: Comprehensive benefits package included

Skills & Requirements

Must-have

  • Applied Machine Learning experience
  • Large Language Models (LLMs) productionization
  • Engineering leadership and team scaling
  • ML infrastructure and platform expertise
  • In-person work requirement 5 days per week

Nice-to-have

  • Visionary leadership style
  • Passion for developer-facing platforms
  • Cross-functional partnership skills
  • Culture of safety and inclusion

Key Requirements

  • Proven engineering leadership experience
  • Hands-on applied ML with LLMs
  • Deep understanding of ML infrastructure

Work Rights

Not specified

Tailored Resume

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