adaption

Modelling Resident

Listed by employer · Checked

Older posting · still listed ·

  • remote
  • Contract
  • Modelling
  • United Kingdom
  • New York
  • Mexico
  • France
  • San Francisco
  • India
  • Ireland
  • Germany
  • Netherlands
  • United States
  • Brazil
  • Argentina
  • Canada
Work arrangement
remote
Employment
Contract
Stated compensation
Not specified
Apply on company website ↗
01 / A QUICK CHECK BEFORE YOU APPLY

Does the location policy fit?

Choose where you would work from. We’ll compare it with the posting’s stated requirements.

Choose the country you will work from. You can change this anytime.

Country and sponsorship changes take effect when you click Check eligibility.

Choose a country to check geographic compatibility. The source requirements are available below.

Source: ashbyChecked Original posting ↗
This is an older posting.

The employer’s posting date is more than 60 days ago. It remained listed at our last successful check; it may be a long-running or evergreen opening. Confirm availability on the original posting before applying.

Browse jobs posted in the past 60 days →

Requirements

2 with evidence7 unclear or unstated
Remote policy
remote
“Provider workplace type: remote”
From employer posting metadata
Geographic scope
GB, MX, FR, IN, IE, DE, NL, US, BR, AR, CA
“Provider location: United Kingdom • Provider location: Mexico • Provider location: France • Provider location: India • Provider location: Ireland • Provider location: Germany • Provider location: Netherlands • Provider location: United States • Provider location: Brazil • Provider location: Argentina • Provider location: Canada”
From employer posting metadata
Employment type
Contract
8 fields not stated in this posting
Employer sponsorship
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
Not mentioned
Minimum experience (years)
Not specified
Work authorization
Not specified
Compensation
Not specified

These details were not stated in the tracked posting. Confirm with the employer.

READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

Reading view uses normalized posting text so exact evidence excerpts can be highlighted.

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 this 8-month 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
Read full descriptionShow less description
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.
Original formatting and links

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 this 8-month 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.

No similar roles found yet — browse all adaption jobs.

THE JOB ELIGIBILITY CHECKER

Check a job