Member of Technical Staff, Model Serving

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?

Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for Members of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to serve optimized LLM models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs.

You May Be a Good Fit If You Have

• Experience with serving ML models in production
• Experience designing, implementing, and maintaining a production service at scale
• Strong intuition for system behavior and resource estimation under different workloads
• Familiarity with inference characteristics of deep learning models, specifically, Transformer based architectures
• Familiarity with computational characteristics of accelerators (GPUs, TPUs, and/or Inferentia), especially how they improve inference latency and throughput
• Strong understanding or working experience with distributed systems
• Experience in performance benchmarking, profiling, and optimization
• Experience with cloud infrastructure (e.g. AWS, GCP)
• Experience in Golang (or, other languages designed for high-performance scalable servers)
  
  

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.

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.