18h ago

Forward Deployed Machine Learning Engineer

San Francisco

โœจ $175k-$250k / yearest.

full-timesenior Hybridai-ml

๐Ÿ›  Tech Stack

๐Ÿ’ผ About This Role

You'll operate at the bleeding edge of AI technology and customer problems, building production-grade ML solutions that close product gaps. You'll identify highest-leverage opportunities through hands-on customer engagement and own outcomes from discovery to deployment. This role offers direct impact on product direction across diverse domains.

๐ŸŽฏ What You'll Do

  • Identify high-leverage opportunities through deep customer data analysis
  • Develop production-grade ML solutions to fill product gaps
  • Deliver technical presentations to senior stakeholders
  • Own customer outcomes from discovery to deployment

๐Ÿ“‹ Requirements

  • 4+ years of industry experience including 2+ customer-facing technical roles
  • Strong software engineering skills with ML frameworks like PyTorch, JAX, TensorFlow
  • Solid understanding of data modeling for training and curation decisions
  • Experience training or fine-tuning models using human feedback or reward signals

โœจ Nice to Have

  • Experience with adaptive learning techniques
  • Ability to operate across varied customer environments and tech stacks
  • Comfort with ambiguous and fast-paced settings

๐ŸŽ Benefits & Perks

  • ๐Ÿ–๏ธ Flexible work with in-person collaboration and quarterly offsites
  • โœˆ๏ธ Adaption Passport annual travel stipend for a new country
  • ๐Ÿฝ๏ธ Lunch Stipend weekly meal allowance
  • ๐Ÿฅ Well-Being comprehensive medical benefits and generous PTO

๐Ÿ“จ Hiring Process

Estimated timeline: 2-4 weeks ยท AI estimate

  1. 1Recruiter Screenยท 30 min
  2. 2Technical Interviewยท 60 min
  3. 3Case Study / On-siteยท 120 min (multiple sessions)
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