Staff Research Engineer: Accelerate LLM Inference (Remote)

Cohere; Montreal; Hybrid; CAD 120,000 - 160,000; Full time

Benefits offered by this job

Open and inclusive culture

Collaboration on cutting-edge AI research

Weekly lunch stipend, in-office lunches & snacks

Full health and dental benefits

100% Parental Leave top-up for up to 6 months

Personal enrichment benefits

Remote-flexible work options

6 weeks of vacation

Job summary

A leading AI research firm in Montreal is seeking a Staff Research Engineer to enhance model efficiency and optimize inference for large language models. In this full-time role, you will develop techniques to improve performance while maintaining model quality. The ideal candidate will hold a PhD in Machine Learning, with strong software engineering skills and experience in AI research. The position offers a collaborative remote-friendly environment along with numerous benefits.

Qualifications

• PhD required in Machine Learning or related field.
• Must understand LLM architecture.
• Experience with techniques that enhance model efficiency preferred.

Responsibilities

• Develop and deploy techniques to improve model efficiency.
• Work with LLM inference and optimization.
• Prototype solutions for executing models efficiently.

Skills

PhD in Machine Learning or a related field

Understanding LLM architecture

Experience enhancing model efficiency

Strong software engineering skills

Ability to work in a fast-paced start-up

Publications at top-tier conferences

Passion to mentor others

Education

PhD in Machine Learning or a related field

Job description

A leading AI research firm in Montreal is seeking a Staff Research Engineer to enhance model efficiency and optimize inference for large language models. In this full-time role, you will develop techniques to improve performance while maintaining model quality. The ideal candidate will hold a PhD in Machine Learning, with strong software engineering skills and experience in AI research. The position offers a collaborative remote-friendly environment along with numerous benefits.