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Senior Research Scientist

Adaption· Modelling
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RemoteFull-timePosted 4mo ago

About the role

Research role focused on building models that continuously evolve with the world, emphasizing efficiency, gradient-free exploration, real-time learning, and interface design to enable a model to interact with the world.

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. Our current algorithms are capable of interacting with the world which is why product thinking is inseparable from research.

Qualifications

  • A PhD or equivalent research experience in a computer science field
  • 4-5+ years of industry experience
  • Publishing record at ICML, NeurIPS, ACL, ICLR, EMNLP.
  • Deep expertise in at least one area: model efficiency, real time alignment or algorithmic optimization
  • Systems thinking ability to understand and optimize 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

Skills

Required:model efficiencyreal time alignmentalgorithmic optimizationacross ML stackPythonDL frameworksmodel optimization techniques

Benefits

  • Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and team offsites.
  • Adaption Passport: Annual travel stipend to explore a country you've never visited.
  • Lunch Stipend: Weekly meal allowance for take-out or grocery delivery.
  • Well-Being: Comprehensive medical benefits and generous paid time off.
Last updated Jul 30, 2026. Interested? Apply on the company site.
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About Adaption

Everything intelligent adapts. So should AI.

Adaptive DataAdaptive IntelligenceAdaptive InterfacesproductAI that adaptsAI that learnson-the-fly malleable datasetscontinual learning
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