Staff Research Engineer, Model Efficiency

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
Large Language Models (LLMs) continue to push the boundaries of what AI systems can do — but inference is still the bottleneck. The Model Efficiency team is responsible for pushing the limits of LLM inference efficiency across our foundation models. We explore and ship breakthroughs across the model execution stack, including:model architecture and MoE routing optimizationdecoding and inference-time algorithm improvementssoftware/hardware co-design for GPU accelerationperformance optimization without compromising model qualityPlease Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations.Key Responsibilities
As a Staff Research Engineer, you will develop, prototype, and deploy techniques that materially improve how fast and efficiently our models run in production.Qualifications
Have a PhD in Machine Learning or a related fieldUnderstand LLM architecture, and how to optimize LLM inference given resource constraintsHave significant experience with one or more techniques that enhance model efficiencyStrong software engineering skillsAn appetite to work in a fast-paced high-ambiguity start-up environmentPublications at top-tier conferences and venues (ICLR, ACL, NeurIPS)Passion to mentor othersWorking 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:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.Education & learning stipend for conferences, courses, and coaching.
6 weeks of paid vacation (30 working days!)Budget for traveling to other offices if you are remote, plus an annual company offsite.How And Where We Work
Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.For those not near an office: a co-working benefit so you can work alongside others in your city.Everyone receives a $500 home office stipend to set up your workspace properly.If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.We 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.We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.Compensation Range: CA$250K - CA$535K
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