Staff Research Engineer, Model Efficiency

Staff Research Engineer, 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 such as 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.

Coherent 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. Building great products requires diverse perspectives.

Why this role?

Responsibilities

Large Language Models (LLMs) continue to push the boundaries of what AI systems can do—yet inference remains 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 entire 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 strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. The Model Efficiency team is 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.

Qualifications

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

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. If you require accommodations during the recruitment process, please submit an Accommodations Request Form and we will work together to meet your needs.

Full‑Time Employee 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!)

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