18h ago
Forward Deployed Machine Learning Engineer
San Francisco
โจ $175k-$250k / yearest.
full-timesenior Hybridai-ml
๐ Tech Stack
๐ผ 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.
๐ฏ 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
๐ 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
โจ 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
๐ Benefits & Perks
- ๐๏ธ Flexible work with in-person collaboration and quarterly offsites
- โ๏ธ Adaption Passport annual travel stipend for a new country
- ๐ฝ๏ธ Lunch Stipend weekly meal allowance
- ๐ฅ Well-Being comprehensive medical benefits and generous PTO
๐จ Hiring Process
Estimated timeline: 2-4 weeks ยท AI estimate
- 1Recruiter Screenยท 30 min
- 2Technical Interviewยท 60 min
- 3Case Study / On-siteยท 120 min (multiple sessions)
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