Builds custom production-grade ML solutions for customer problems by identifying platform gaps, implementing fixes, and owning outcomes from discovery to deployment. Requires 4+ years experience including customer-facing roles, strong ML frameworks knowledge, and data modeling expertise.
Salary not listed
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About the role
Responsibilities
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.
Qualifications
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.
Lunch Stipend: Weekly meal allowance for take-out or grocery delivery.
Well-Being: Comprehensive medical benefits and generous paid time off.
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