Software Engineer, Evaluation Frontend

London - UK

Monthly Salary: Not Disclosed

Posted on: 12 hours ago

Vacancies: 1 Vacancy

Job Summary

Who are we

Our mission is to scale intelligence to serve humanity. Were training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation semantic search RAG and agents. We believe that our work is instrumental to the widespread adoption of AI.

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. We like to work hard and move fast to do whats best for our customers.

Cohere is a team of researchers engineers designers and more who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

Why this role

As an Evaluation Frontend Software Engineer you will play a key role in helping us make modelling decisions based on experimental outcomes for our large language models (LLMs). Your primary focus will be on building tools to enable easy visualization and analysis of model evaluations which are stored in a central database. You will work closely with cross-functional teams including researchers and engineers to surface the insights that are necessary for the future development of our models.

This role combines expertise in statistics data science frontend development and data visualization. If any of these topics sound interesting to you we encourage you to apply.

Please Note: We have offices in London Paris Toronto San Francisco and New York but we also embrace being remote-friendly! There are no restrictions on where you can be located for this role.

As a Evaluation Frontend Software Engineer you will:

Design tools and visualizations that enable researchers and engineers to compare and analyse hundreds of model evaluations. This includes both data visualization tools as well as statistical tools to extract signal from the noisy signals we get.
Develop an understanding of the relative merits and limitations of each of our model evaluations as well as suggest new facets of model evaluation.

You may be a good fit if you have:

Extremely strong software engineering skills.

Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance.
Prior experience building front-end visualization systems and dashboards.
Familiarity with ML systems evaluations.
Proficiency in programming languages such as Python and ML frameworks (e.g. PyTorch TensorFlow JAX).
Excellent communication skills to collaborate effectively with cross-functional teams and present findings.
One or more papers at top-tier venues (such as NeurIPS ICML ICLR AIStats MLSys JMLR AAAI Nature COLING ACL EMNLP).

If some of the above doesnt line up perfectly with your experience we still encourage you to apply!

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process please submit an Accommodations Request Form and we will work together to meet your needs.

Full-Time Employees at Cohere enjoy these Perks:

An open and inclusive culture and work environment

Work closely with a team on the cutting edge of AI research

Weekly lunch stipend in-office lunches & snacks

Full health and dental benefits including a separate budget to take care of your mental health

100% Parental Leave top-up for up to 6 months

Personal enrichment benefits towards arts and culture fitness and well-being quality time and workspace improvement

Remote-flexible offices in Toronto New York San Francisco London and Paris as well as a co-working stipend

6 weeks of vacation (30 working days!)

Who are weOur mission is to scale intelligence to serve humanity. Were training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation semantic search RAG and agents. We believe that our work is instrumental to th...