Senior Research Scientist - Real-Time AI & Efficiency

adaption; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Flexible work

Travel stipend

Lunch stipend

Medical benefits

Job summary

Adaption in San Francisco seeks a senior researcher to build models that continuously evolve with the world. You will advance efficiency, gradient-free exploration, real-time learning, and interface design, shaping how intelligent systems interact with real-world data.

Collaborate across software, hardware, and algorithms, publish in top venues, and mentor others. We value bold ideas, adaptability, and the drive to move fast while delivering meaningful impact.

Qualifications

• PhD or equivalent research experience in CS.
• 4-5+ years of industry experience.
• Publication record at ICML, NeurIPS, ACL, ICLR, EMNLP.
• Deep expertise in at least one area: model efficiency, real time alignment or algorithmic optimization.
• Systems thinking 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).
• Experience in an industry lab with computing at scale.

Responsibilities

• Innovation: You have ideas and you move fast. You care about impact, not just effort.
• Cross-Stack Optimization: You collaborate across software, hardware, and algorithmic domains to unlock system-wide efficiency gains.
• Measure What Matters: The ultimate signal of value is real-world impact and our algorithms interact with the world; product thinking is inseparable from research.

Skills

Python

Deep learning

Systems thinking

Real-time adaptation

Education

PhD in CS

Tools

PyTorch

JAX

TensorFlow

RLHF

Job description

Adaption in San Francisco seeks a senior researcher to build models that continuously evolve with the world. You will advance efficiency, gradient-free exploration, real-time learning, and interface design, shaping how intelligent systems interact with real-world data.

Collaborate across software, hardware, and algorithms, publish in top venues, and mentor others. We value bold ideas, adaptability, and the drive to move fast while delivering meaningful impact.