adaption

Interface Research Engineer

adaption

full-time

Posted on:

Location Type: Hybrid

Location: San Francisco • California • United States

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Tech Stack

PythonPyTorchReactTensorflow

About the role

  • Innovation: innovate on our product to co-design algorithms that react real-time to product signal and feedback. Design new ways of giving feedback that drive better algorithms.
  • Cross-Stack Optimization: collaborate across software, hardware, and algorithmic domains to achieve system-wide efficiency gains
  • Measure what matters: we believe strongly that the ultimate signal of value is whether we have real world impact. Our current algorithms are capable of interacting with the world which is why product matters so much.

Requirements

  • Deep expertise in at least one area: model efficiency, real time alignment or algorithmic optimization
  • Systems thinking ability to understand and optimize across the full ML stack
  • Strong programming skills in Python. Experience with deep learning frameworks (PyTorch, JAX, TensorFlow)
  • Knowledge of model optimization techniques (RLHF, finetuning)
  • A plus is experience in an industry lab with computing at scale
  • A plus is a PhD or equivalent research experience in a computer science field
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
Pythondeep learningPyTorchJAXTensorFlowmodel optimizationRLHFfinetuningalgorithmic optimizationreal time alignment
Soft Skills
systems thinkingcollaborationinnovation
Certifications
PhDequivalent research experience