Research Scientist/Research Engineer

Adaption

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

Responsibilities

  • Innovate on products to co-design algorithms that react real-time to product signal and feedback
  • Design new ways of giving feedback that drive better algorithms
  • Collaborate across software, hardware, and algorithmic domains to achieve system-wide efficiency gains
  • Measure real-world impact of algorithms interacting with the world

Requirements

  • PhD or equivalent research experience in a computer science field
  • 4-5+ years of industry experience
  • Deep expertise in model efficiency, real time alignment, or algorithmic optimization
  • Systems thinking ability to optimize across the full ML stack
  • Strong programming skills in Python
  • Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow
  • Knowledge of model optimization techniques like RLHF and finetuning
  • Experience in an industry lab with computing at scale

Benefits

  • Flexible work with in-person collaboration in the Bay Area and a distributed global-first team
  • Adaption Passport: Annual travel stipend to explore new countries
  • Weekly lunch stipend for take-out or grocery delivery
  • Comprehensive medical benefits and generous paid time off

About the Company

We are building efficient intelligence that evolves in real-time. Our vision is to create AI systems that are flexible, personalized, and accessible to everyone through extreme efficiency and continual adaptation.

Skills & tools

PythonPyTorchMachine Learning

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01PhD in Computer Science or equivalent
  2. 024-5+ years industry experience
  3. 03Expertise in model efficiency or real-time alignment
  4. 04Proficiency in Python
  5. 05Experience with PyTorch, JAX, or TensorFlow
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