Senior Research Engineer, Model Evaluation in City of London

Senior Research Engineer, Model Evaluation in City of London

City of London Full-Time 36000 - 60000 £ / year (est.) No working from home possible
Cohere

At a Glance

  • Tasks: Create next-gen evaluation methods and scalable infrastructure for LLM performance measurement.
  • Company: Cohere, a leader in AI research with a mission to serve humanity.
  • Benefits: Inclusive culture, health benefits, remote flexibility, and generous vacation time.
  • Other info: Diverse environment with opportunities for personal enrichment and career growth.
  • Why this job: Join a team pushing the boundaries of AI and make a real impact.
  • Qualifications: Experience in LLM evaluation, strong software engineering skills, and a passion for innovation.

The predicted salary is between 36000 - 60000 £ per year.

Join to apply for the Senior Research Engineer, Model Evaluation role at Cohere. Our mission is to scale intelligence to serve humanity. We’re 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.

Why this role

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 techniques to accurately measure our models' performance on frontier capabilities. In this role, you are responsible for creating next-generation evaluation methods and scalable infrastructure to measure LLM progress.

Responsibilities

  • Develop evaluation benchmarks, datasets, and environments for measuring the bleeding edge of model capabilities.
  • Conduct research to push the state-of-the-art in LLM evaluation methods, including training LLM judges; improving evaluation efficiency; and scalably building high-quality datasets.
  • Build scalable tools for investigating and understanding evaluation results that are used by all members of technical staff at Cohere, as well as leadership and our CEO.
  • Learn from and work with the best researchers and engineers in the field.

You may be a good fit if

  • You enjoy pushing the limits of what LLMs are capable of, and you have built high-quality evaluation resources to measure those capabilities (datasets, simulators, environments, etc.).
  • You have a track record of developing new methods and/or data to evaluate LLMs, e.g. publications at top-tier conferences, popular benchmarks, etc.
  • You have deep experience building with and around LLMs, and you have built tools for analyzing and understanding their performance.
  • You have strong software engineering skills.

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.

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.

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 6 months for employees based in Canada, the US, and the UK.
  • 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 and London and co-working stipend.
  • 6 weeks of vacation.

Senior Research Engineer, Model Evaluation in City of London employer: Cohere

Cohere is an exceptional employer that champions innovation and collaboration, particularly in the dynamic field of AI deployment. With a flexible remote work environment, generous vacation policies, and robust training stipends, we prioritise employee well-being and professional growth. Join us to be part of a forward-thinking team that is making significant impacts in sectors like finance and healthcare.

Cohere

Contact Details:

Cohere Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Research Engineer, Model Evaluation in City of London

Get Involved in Research Communities

Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!

Show Off Your Research Projects

Have you worked on any cool research projects? Make it easy for potential employers to see your work by creating a portfolio or a personal website. This way, when you apply for roles like the one at Cohere, you can point them to your projects and publications, showcasing your expertise directly.

Utilise Professional Networks

Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.

Keep Your Eyes on Openings & Apply Directly

Don’t just rely on job boards! Keep an eye on the careers section of the websites of companies like Cohere. Apply directly through their website because sometimes they post jobs there before anywhere else. Plus, it shows your proactive approach!

We think you need these skills to ace Senior Research Engineer, Model Evaluation in City of London

Evaluation Benchmark Development
Dataset Creation
Research Skills
LLM Evaluation Methods
Software Engineering
Performance Analysis Tools
Scalable Infrastructure Development

Some tips for your application 🫡

Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!

Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at Cohere. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.

Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.

Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at Cohere. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!

How to prepare for a job interview at Cohere

Showcase Your Research Skills

In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.

Prepare for Technical Questions

Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at Cohere. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.

Know Your Publications

If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.

Exhibit Your Team Spirit

In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at Cohere to drive research projects forward.