Adaption
Research Scientist
United States +11 · Remote · Full-time · Posted Mar 15, 2026
- Location
- United States
New York
United Kingdom
Mexico
France
India
Ireland
Germany
Netherlands
Brazil
Argentina
Canada - Experience
- 4–5+ years of industry experience.
- Education
- PhD or equivalent research experience in a computer science field.
About the job
Conduct research and develop algorithms that adapt in real time to product feedback, with a focus on efficiency, exploration, and real-world impact.
What you'll do
- Co-design product algorithms that respond to real-time signals and feedback, including new feedback mechanisms.
- Collaborate across software, hardware, and algorithmic domains to improve system-wide efficiency.
- Evaluate research and algorithms by their real-world impact.
What they ask for
- PhD or equivalent research experience in a computer science field.
- 4–5+ years of industry experience.
- Deep expertise in at least one of model efficiency, real-time alignment, or algorithmic optimization.
- Strong Python programming skills; knowledge of model optimization techniques such as RLHF or finetuning.
Nice to have
- Experience with deep learning frameworks (PyTorch, JAX, TensorFlow).
- Experience in an industry lab with computing at scale.
Tools
Python, PyTorch, JAX, TensorFlow, RLHF
AI focus
Develop efficient AI systems that learn and adapt in real time, including through product interaction, feedback, and synthetic data optimization.
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