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 scale intelligence for humanity.
- Benefits: Inclusive culture, health benefits, remote flexibility, 6 weeks vacation, and personal enrichment perks.
- Why this job: Join a cutting-edge team and push the limits of AI capabilities while making a real impact.
- Qualifications: Experience in LLM evaluation, strong software engineering skills, and a passion for AI research.
- Other info: Diverse and inclusive environment with excellent career growth opportunities.
The predicted salary is between 43200 - 72000 Β£ 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 are 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 doesnβt 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 London employer: Cohere
Contact Detail:
Cohere Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior Research Engineer, Model Evaluation in London
β¨Tip Number 1
Network like a pro! Reach out to folks in the AI and research community, especially those at Cohere. A friendly chat can open doors that a CV just can't.
β¨Tip Number 2
Show off your skills! If you've got projects or publications related to LLM evaluation, make sure to highlight them in conversations. We love seeing what you can do!
β¨Tip Number 3
Prepare for technical discussions. Brush up on the latest trends in model evaluation and be ready to share your thoughts. We want to see your passion and expertise shine through!
β¨Tip Number 4
Apply through our website! Itβs the best way to ensure your application gets noticed. Plus, it shows you're serious about joining our mission to scale intelligence for humanity.
We think you need these skills to ace Senior Research Engineer, Model Evaluation in London
Some tips for your application π«‘
Tailor Your CV: Make sure your CV is tailored to the Senior Research Engineer role. Highlight your experience with LLMs and any relevant projects or publications that showcase your skills in evaluation methods.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at Cohere. Be genuine and let your personality come through.
Showcase Your Projects: If you've worked on any cool projects related to model evaluation or LLMs, make sure to mention them. Include links to your work or any benchmarks you've developed to give us a taste of what you can do.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, itβs super easy!
How to prepare for a job interview at Cohere
β¨Know Your Models
Make sure you have a solid understanding of the latest advancements in LLMs and their evaluation methods. Brush up on any recent publications or benchmarks that are relevant to the role, as this will show your passion and expertise during the interview.
β¨Prepare Your Portfolio
Bring along examples of your previous work related to model evaluation, such as datasets you've created or tools you've developed. This tangible evidence of your skills can really set you apart and give the interviewers something concrete to discuss.
β¨Ask Insightful Questions
Prepare thoughtful questions about Cohere's current projects and future directions in AI research. This not only demonstrates your interest in the company but also shows that you're thinking critically about how you can contribute to their mission.
β¨Showcase Your Team Spirit
Cohere values collaboration, so be ready to discuss how you've worked effectively in teams before. Share examples of how you've contributed to group projects or helped colleagues, as this will highlight your ability to fit into their inclusive culture.