Forward Deployed Machine Learning Engineer
adaption
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • United States
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Tech Stack
About the role
- Find and Unlock Alpha: Go deep on customer problems and data workflows to identify the highest-leverage opportunities others miss, then build the solutions that capture them.
- Ship What's Missing: When the product doesn't cover it, you do. Identify gaps through hands-on customer engagement and implement production-grade ML solutions that fill them.
- Raise the Bar: Develop compelling demos, deliver technical presentations to senior stakeholders, and set the standard for what great looks like across our customer base.
- Own the Outcome: You're not handing off a deck — you're a strategic and technical partner from discovery through deployment, accountable for results.
Requirements
- 4+ years of industry experience, including 2+ years in a customer-facing technical role.
- Strong software engineering skills and familiarity with ML frameworks (e.g., PyTorch, JAX, TensorFlow)
- Solid understanding of data modeling for training and how curation decisions shape model performance
- Experience training or fine-tuning models using human feedback, reward signals, or other adaptive learning techniques
- Excellent communication skills and ability to operate across varied customer environments and tech stacks
- A mindset of ownership, curiosity, and a bias toward action.
Benefits
- Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and quarterly offsites.
- Adaption Passport: Annual travel stipend to explore a country you've never visited. We're building intelligence that evolves alongside you, so we encourage you to keep expanding your horizons.
- Lunch Stipend: Weekly meal allowance for take-out or grocery delivery.
- Well-Being: Comprehensive medical benefits and generous paid time off.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
software engineeringmachine learningdata modelingmodel trainingmodel fine-tuningadaptive learning techniquesPyTorchJAXTensorFlow
Soft Skills
communicationownershipcuriositybias toward action