Staff Research Engineer, Model Efficiency
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Who are we
Our mission is to scale intelligence to serve humanity. Were 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 whats 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
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 optimization
decoding and inference-time algorithm improvements
software/hardware co-design for GPU acceleration
performance optimization without compromising model quality
Please 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. Youll find the Model Efficiency team concentrated in the EST and PST time zones these are our preferred locations.
As a Staff Research Engineer you will develop prototype and deploy techniques that materially improve how fast and efficiently our models run in production.
You may be a good fit for the model efficiency team if you:
Have a PhD in Machine Learning or a related field
Understand LLM architecture and how to optimize LLM inference given resource constraints
Have significant experience with one or more techniques that enhance model efficiency
Strong software engineering skills
An appetite to work in a fast-paced high-ambiguity start-up environment
Publications at top-tier conferences and venues (ICLR ACL NeurIPS)
Passion to mentor others
If some of the above doesnt line up perfectly with your experience we still encourage you to apply!
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 up to 6 months
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 London and Paris as well as a co-working stipend
6 weeks of vacation (30 working days!)
Required Experience:
Staff IC
Key Skills
- Python
- C/C++
- Fortran
- R
- Data Mining
- Matlab
- Data Modeling
- Laboratory Techniques
- MongoDB
- SAS
- Systems Analysis
- Dancing
About Company
Deploy multilingual models, advanced retrieval, and intelligent agents securely and privately — without the risks of ordinary AI.
