Job details

Member of Technical Staff, Model Efficiency

Who are we?

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.

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 what’s 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?

The Model Efficiency team is a fast growing group of committed researchers and engineers. The mission of the team is to build reliable ML system and optimize LLM serving efficiency with innovative techniques.

As an engineer on this team, you’ll work on improving the key model serving metrics including latency and throughput without compromising quality by diving deep into the system, identifying bottlenecks, and solving problems with innovative solutions.

Please Note: We have offices in Toronto, San Francisco, New York 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.

You may be a good fit for the Model Efficiency team if you have:

Significant experience in developing high-performance machine learning system
Experienced in programming languages such as C++ and Python
Hands-on experience with large language models
Bias for actions and results

It is a big plus if you also have considerable experience with one of these areas:

GPU programming or low-level system optimization
Machine learning framework internals
Language modeling with transformers

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, 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.

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 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

Note: This post is co-authored by both Cohere humans and Cohere technology.

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Average salary estimate

$135000 / YEARLY (est.)

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$120000K

$150000K

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What You Should Know About Member of Technical Staff, Model Efficiency , Cohere

Cohere is on an exciting mission to scale intelligence to serve humanity, and we're looking for a Member of Technical Staff focused on Model Efficiency to join our vibrant team in San Francisco. In this role, you'll dive into optimizing machine learning systems and work towards enhancing LLM serving efficiency through innovative techniques. If you have a knack for improving model serving metrics like latency and throughput while ensuring top-notch quality, this could be the perfect position for you. Working alongside some of the brightest researchers and engineers, you'll identify and solve key bottlenecks in our systems, all while being part of a culture that values hard work, playfulness, and continuous learning. We proudly embrace diverse perspectives, and your unique insights will directly impact the AI experiences we tailor for developers and enterprises. If developing high-performance machine learning systems excites you and you have hands-on experience with large language models, don't hesitate to apply, even if you don’t perfectly match all the criteria. Join us on this incredible journey to shape the future of AI together!

Frequently Asked Questions (FAQs) for Member of Technical Staff, Model Efficiency Role at Cohere

What are the key responsibilities of a Member of Technical Staff at Cohere?

As a Member of Technical Staff in Model Efficiency at Cohere, you'll focus on enhancing the efficiency of machine learning systems. Your primary responsibilities will include optimizing model serving metrics such as latency and throughput, diving deep into technical challenges, identifying bottlenecks, and implementing innovative solutions. You'll work collaboratively with a diverse team of engineers and researchers who are dedicated to advancing AI technology.