
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.
- 01PhD in Computer Science or equivalent
- 024-5+ years industry experience
- 03Expertise in model efficiency or real-time alignment
- 04Proficiency in Python
- 05Experience with PyTorch, JAX, or TensorFlow
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Adaption
Job details
- Work model
- Completely Remote
- Commitment
- Full Time
- Category
- Information Technology
- Posted
- Today
AdWake up to a shortlist, not a search results page.
ScoutJobs scores every new listing against your CV, salary floor and visa. A handful of real matches by morning.
Get your daily matches