Senior Research Scientist - Real-Time, Efficient AI

adaption

Greater London

Hybrid

GBP 70,000 - 110,000

Full time

14 days+
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Benefits offered by this job

Flexible work: Bay Area collaboration,
Adaption Passport: travel stipend
Lunch Stipend: meal allowance
Well-Being: medical benefits & PTO

Job summary

Adaption seeks a research scientist to build models that evolve with the world, focusing on efficiency, gradient-free exploration, real-time learning, and interface design. You will shape how a model acts and interacts with real-world data, collaborating across software, hardware, and algorithms.

We value candidates who are deeply curious, adaptable, and capable of shipping impactful ideas. A PhD or equivalent experience with published work is preferred, and the role offers global collaboration

Qualifications

  • PhD or equivalent research experience in computer science.
  • 4–5+ years of industry experience.
  • Publications at ICML, NeurIPS, ACL, ICLR, EMNLP.

Responsibilities

  • Innovation: you have ideas and you move fast; you care about impact.
  • Cross-Stack Optimization: collaborate across software, hardware, and algorithms for system-wide efficiency gains.
  • Measure What Matters: real-world impact is the primary success signal; product thinking is inseparable from research.

Skills

Python programming
Deep learning
Model optimization
RLHF
Finetuning
System thinking
Real-time learning
Python frameworks
Research collaboration

Education

PhD or equivalent research experience

Tools

PyTorch
JAX
TensorFlow

Job description

Adaption seeks a research scientist to build models that evolve with the world, focusing on efficiency, gradient-free exploration, real-time learning, and interface design. You will shape how a model acts and interacts with real-world data, collaborating across software, hardware, and algorithms.

We value candidates who are deeply curious, adaptable, and capable of shipping impactful ideas. A PhD or equivalent experience with published work is preferred, and the role offers global collaboration

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