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adaption

Senior Research Scientist

Reposted 2 Months Ago
In-Office or Remote
Hiring Remotely in India
Senior level
In-Office or Remote
Hiring Remotely in India
Senior level
The Senior Research Scientist will innovate and optimize models for real-time learning, collaborating across domains to enhance efficiency and impact, with a strong focus on practical applications and measurable outcomes.
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About Us

Most AI is frozen in place - it doesn’t adapt to the world. We think that’s backwards. Our mandate is to build efficient intelligence that evolves in real-time. We bring together exceptional people with the drive and creativity to push the boundaries of continual adaptation. We’re looking for builders and creative thinkers ready to shape the next era of intelligence.

Our team is small, talent-dense, and moving quickly, with a culture rooted in accountability, initiative and shared success. We look for people who care deeply, ship fast, and are eager to make a dent in the world. We operate with low egos, high velocity, and extreme ownership to build technology that expands access and benefits the many, not the few.

How We Work
  • Impact over activity: We are building a generational company. We value people who execute on ideas rather than comment from the sidelines. We believe our competitive edge lies in caring about excellence across the entire lifecycle - from research to product. No task is beneath anyone: no one is too senior to test the build, clean the data, or unblock a teammate.

  • Vulnerable, low-ego collaboration: We believe exceptional work comes from people who challenge, support and push one another to think bigger. Rapid iteration requires stepping into discomfort. We encourage bold, half-baked, and unorthodox ideas. When we disagree, we share feedback directly, never through side channels.

  • Celebrate decisively: Extraordinary effort should be deeply memorable. We celebrate milestones generously and publicly - via spot bonuses, team dinners, spontaneous gifts, and company-wide recognition - to fuel each other for the next sprint.

The Role

Our vision is AI systems that are flexible, adaptable, and accessible to everyone. We believe efficiency is what makes this possible. It’s how we expand access and ensure innovation benefits the many, not the few.

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.

Our Research Principles

Sweat the details. Technical excellence requires obsessing over every detail. We co-design serving, algorithms, and interface as one system to maximize efficiency and enable real-time adaptation.

Move with conviction. Extraordinary results require extraordinary effort. We operate with urgency as a unified team, concentrating resources on a few high-conviction bets where research and impact intersect.

Metrics that matter. The most intelligent system will increasingly be defined by building an algorithm that can interact with the world. Research ideas are tested through working products. If it doesn't improve what users can do, we question whether it matters. We share what moves the field; we don't optimize for paper count.

What You'll Do
  • 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.

Skills You'll Bring

We look beyond traditional markers of experience. What matters most to us is what you’ve built and the impact you’ve had. We value demonstrable output, curiosity and alignment with our core values:

  • 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

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.

What We Offer
  • Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.

  • Growth paths: A dynamic environment with opportunities to take on new challenges, expand your responsibilities, and make an impact beyond your immediate role.

  • Adaption Passport: An annual travel allowance to explore somewhere new, experience different cultures and keep expanding your horizons. It can be used to travel to any country you haven’t previously been to.

  • Lunch on us: A weekly allowance for takeout or grocery delivery, wherever you are in the world. Whether it's stocking your fridge or having dinner delivered, it’s one less thing to think about.

  • Comprehensive benefits: High-quality medical coverage and benefits designed to support your health and well-being.

  • Team offsites and visits to SF HQ: We're a global team, but believe there's real value in spending time together in person. We regularly bring teammates together at our SF HQ and for team offsites in locations around the world, including London, Mexico City, and New York.

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