Senior Research Scientist

adaption; United States; On-site; USD 130,000 - 150,000; Full time

Benefits offered by this job

Flexible work

Adaption Passport

Lunch Stipend

Well-Being benefits

Job summary

adaption is seeking a Researcher to develop models that evolve with the environment, emphasizing efficiency and interaction. Ideal candidates will have a PhD in computer science and 4-5 years of practical experience, with skills in Python and deep learning frameworks.

Benefits include flexible work arrangements, an annual travel stipend, and comprehensive medical benefits. If you're adaptable and enjoy tackling bold ideas, we want to hear from you!

Qualifications

• 4-5+ years of industry experience required.
• Publishing record at ICML, NeurIPS, ACL, ICLR, EMNLP.
• Ability to understand and optimize across the full ML stack.
• Strong programming skills required.

Responsibilities

• Innovate quickly, focusing on impact rather than just effort.
• Collaborate to unlock system-wide efficiency gains.
• Measure real-world impact as a signal of value.

Skills

Programming skills in Python

Deep learning frameworks (PyTorch, JAX, TensorFlow)

Model efficiency

Real time alignment

Algorithmic optimization

Education

PhD or equivalent research experience in computer science

Tools

Model optimization techniques (RLHF, finetuning)

Job description

The role

This is a research role focused on building models that continuously evolve with the world. Our frontier work centers on efficiency, gradient-free exploration, real‑time learning, and interface design. The most intelligent systems will increasingly be defined not just by what they know, but by how well they can interact with the world. For the first time, researchers who care deeply about intelligence and efficiency must also be obsessed with the interface through which a model acts. If any of this resonates, we'd love to hear from you.

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: 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

Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas. You don't need to be perfect, but you do need to be adaptable. We encourage you to apply, even if you don't check every box.

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. We're building intelligence that evolves alongside you, so we encourage you to keep expanding your horizons.
• Lunch Stipend: Weekly meal allowance for take‑out or grocery delivery.
• Well-Being: Comprehensive medical benefits and generous paid time off.