Adaption logo

Modelling Resident (8-Month Contract)

Adaption

San Francisco, CAFull-timeNo compensation foundPosted 2mo agoVerified open 4 days ago

Most applications go out cold — see where you stand first. No sign-up to start.

At a glance

Compensation
No compensation found
Location
San Francisco, CA
Role Type
Other
Schedule
Full-time
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Adaption is hiring a Modelling Resident (8-Month Contract). The Modelling Resident will be embedded in a frontier lab, working on key production and research projects. They will be mentored by the modelling team, focusing on efficiency, gradient-free exploration, real-time learning, and interface design. The residency aims to provide a strong track record and meaningful upskilling experiences.

Key focus areas include Build the future of adaptive algorithms that continuously learn, Co-design algorithms that react in real-time to product signal and feedback, and Explore new ways of capturing feedback that make those algorithms better.

Successful candidates bring Bachelor's In Computer Science Or Equivalent, Systems Thinking Ability, and Model Optimization Techniques. Important skills include Adaptability, Systems Thinking, Python, PyTorch, JAX, and TensorFlow. Preferred (not required): Adaptive Algorithms, Cross-Stack Optimization, Real-World Impact, and Model Efficiency.

Skills & qualifications

RequiredNice to have

Skills

AdaptabilitySystems ThinkingPythonPyTorchJAXTensorFlowCommunicationSelf-AwarenessAdaptive AlgorithmsCross-Stack OptimizationReal-World ImpactModel EfficiencySynthetic DataInterfacesReal-Time AlignmentAlgorithmic OptimizationRLHFFine-TuningTechnical ExcellenceOwning Outcomes

Qualifications

Degree in Computer Science Field or Equivalent Research/Engineering ExperienceAt Least One Project Touching Model Efficiency, Synthetic Data, Interfaces, Real-Time Alignment, or Algorithmic Optimization

Full job description

The Role A modelling residency puts you in the center of a frontier lab. You'll be embedded in real work: placed on key production and research projects and mentored directly by our modelling team. We're building our frontier innovation around efficiency, gradient-free exploration, real-time learning, and interface design. By the end of the residency, our hope is that you leave with a track record you're proud to put on your resume and experiences that meaningfully upskill you.

Responsibilities

  • Innovation: Build the future of adaptive algorithms that continuously learn. Co-design algorithms that react in real-time to product signal and feedback, and explore new ways of capturing feedback that make those algorithms better

  • Cross-Stack Optimization: Collaborate across software, hardware, and algorithmic domains to drive system-wide efficiency gains

  • Measure What Matters: We believe the ultimate signal of value is real-world impact. The smartest algorithm is one capable of interacting with the world — that's why product signal matters so much to how we work.

Qualifications We value impact over credentials. 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 check every box - but you do need to be adaptable.

  • A degree or equivalent research/engineering experience in a computer science field.

  • Genuine interest in, and at least one project touching: model efficiency, synthetic data, interfaces, real-time alignment, or algorithmic optimization

  • Systems thinking — the ability to understand and optimize across the full ML stack

  • Strong Python skills and experience with deep learning frameworks (PyTorch, JAX, or TensorFlow)

  • Familiarity with model optimization techniques such as RLHF and fine-tuning

  • Strong communication and self-awareness — you know how to collaborate in a remote environment and you're open to feedback

  • You care about technical excellence and last mile impact. We value impact more than effort, and about owning outcomes end to end.

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. Our vision is AI systems that are flexible, personalized, 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. We believe in talent density: bringing together the best and most driven individuals to push the boundaries of continual adaptation. We're looking for builders and creative thinkers ready to shape the next era of intelligence.

You've read the whole posting — now see how you match it.