Research Scientist/Research Engineer

Adaption; United States; Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Flexible work with Bay Area in-person

Adaption Passport: Annual travel stip

Weekly lunch stipend for take-out or-g

Comprehensive medical benefits and PTO

Job summary

Adaption is building efficient intelligence that evolves in real-time. We design AI systems that are flexible, personalized, and scalable through extreme efficiency and continual adaptation.

Our team collaborates across software, hardware, and ML domains to ship practical, high-performance solutions. This role targets ambitious researchers who thrive in a global-first, distributed environment with a Bay Area presence.

Qualifications

• PhD or equivalent research experience in computer science.
• 4–5+ years of industry experience.
• Deep expertise in model efficiency, real-time alignment, or algorithmic optimization.
• Systems thinking to optimize across the full ML stack.
• Strong programming in Python.
• Experience with PyTorch, JAX, or TensorFlow.
• Knowledge of model optimization techniques like RLHF and fine-tuning.
• Experience in an industry lab with computing at scale.

Responsibilities

• Innovate on products to co-design algorithms that react in real-time to signals.
• Design feedback methods that drive better algorithms.
• Collaborate across software, hardware, and algorithmic domains for system-wide efficiency.
• Measure real-world impact of algorithms interacting with the world.

Skills

Python

Deep Learning

Model efficiency

Real-time alignment

Education

PhD in Computer Science

Tools

PyTorch

JAX

TensorFlow

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.