Cohere logo

Cohere

Senior Research Scientist, Model Evaluation

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · Toronto

Employer listed it 11 months ago · Added 5 days ago

Been open since 11 months ago. Long-running listings are sometimes left up after the role is filled.

Salary

Not stated

Location

Hybrid · Toronto

Timezone

Not stated

Contract

Full-time

Experience

Senior

Category

Data

This employer didn't state pay. Jobs like this usually pay around $145k–$210k a year, a typical range taken from 255 senior-level data roles on Nomaders that do state pay. It's a guide, not an offer.

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around Toronto, San Francisco, Canada, Seattle, London, United States, New York, Hybrid, so you need to live within commuting distance.

What the employer says

  • Source listing states candidate location: "Toronto, San Francisco, Canada, Seattle, London, United States, New York, Hybrid"
  • Listing mentions "Hybrid"

What Nomaders makes of it

  • Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

About the role

Who are we?

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.

We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.

We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!

Role Overview:

Evaluation is critical to making progress in scaling intelligence. As models continue to become superhuman in many real-world use cases, we must continue to develop new evaluation techniques that accurately reflect what models are already capable of, as well as set the agenda for what future models should be capable of. In this role, you are responsible for creating these next-generation evaluation methods and infrastructure to measure LLM progress.

Key Responsibilities:

Create ambitious new evaluation benchmarks that push the limits of what our models can accomplish.

Work on highly cross-functional teams to translate model feedback into trustworthy, repeatable evaluations.

Conduct research to advance the state-of-the-art in LLM evaluation methods, including training LLM judges; refining LLM-based data synthesis pipelines; and improving evaluation efficiency.

Build scalable and reusable tools for digging into model performance.

Qualifications:

You enjoy rapidly building prototypes that demonstrate the boundaries of what LLMs are capable of, and you have developed resources to measure those capabilities.

You have spent dozens of hours reviewing complex data and LLM outputs to ensure high data quality.

You are obsessive about rigorously measuring AI capabilities, and also about making sure your measurements actually align with the capabilities you care about.

You have strong software engineering skills.

Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.

Full-Time Employees at Cohere enjoy these Perks:

A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.

Full health and dental benefits, including a separate budget for mental health.

RRSP matching, 401K, Pension Scheme.

100% Parental Leave top-up for up to 6 months, for either parent.

Annual enrichment benefits:

Requirements

  • ·You enjoy rapidly building prototypes that demonstrate the boundaries of what LLMs are capable of, and you have developed resources to measure those capabilities.
  • ·You have spent dozens of hours reviewing complex data and LLM outputs to ensure high data quality.
  • ·You are obsessive about rigorously measuring AI capabilities, and also about making sure your measurements actually align with the capabilities you care about.
  • ·You have strong software engineering skills.

Benefits

  • ·A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
  • ·Full health and dental benefits, including a separate budget for mental health.
  • ·RRSP matching, 401K, Pension Scheme.
  • ·100% Parental Leave top-up for up to 6 months, for either parent.
  • ·Annual enrichment benefits:

How to apply

  1. 1Check the flexibility label above, hybrid, matches where you plan to live and work.
  2. 2Tailor your CV to the role at Cohere, mentioning your remote working experience.
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 5d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

Similar roles

Other open data roles with comparable remote rules.

Browse all open roles

Free to apply, no account needed.

Typically $145k to $210k per year · You'll be taken to the employer's careers page.