Staff Research Engineer, Model Efficiency

Cohere

• $125K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Machine Learning or related field
  • Expertise in optimizing LLM architecture and inference
  • Experience with methods to enhance model efficiency
  • Strong software engineering skills
  • Comfortable in fast-paced, ambiguous startup settings
  • Publications at major AI conferences
  • Desire to mentor and guide peers

Responsibilities

  • Develop techniques to improve model inference speed and efficiency
  • Prototype and deploy advancements in model execution
  • Collaborate with a diverse team of experts
  • Optimize model architecture and routing
  • Enhance decoding and inference algorithms
  • Contribute to software/hardware co-design for GPU acceleration
  • Ensure performance optimization without sacrificing model quality

Benefits

  • Open and inclusive culture
  • Cutting-edge AI research collaboration
  • Weekly lunch stipend and snacks
  • Comprehensive health and dental benefits
  • 100% parental leave top-up for 6 months
  • Personal enrichment funds for various activities
  • Remote work flexibility with co-working stipends
  • Generous vacation policy of 6 weeks (30 working days)
Full Job Description
Role Overview:

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. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations.

Key Responsibilities:

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:
  • 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


Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.

Full-Time Employees at Cohere enjoy these Perks:
  • A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
  • Full health and dental benefits, including a separate budget for mental health.
  • RRSP matching, 401K, Pension Scheme.
  • 100% Parental Leave top-up for up to 6 months, for either parent.
  • Annual enrichment benefits:
    Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
    Education & learning stipend for conferences, courses, and coaching.
  • 6 weeks of paid vacation (30 working days!)
  • Budget for traveling to other offices if you are remote, plus an annual company offsite.


How and Where We Work:
  • Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
  • For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
  • For those not near an office: a co-working benefit so you can work alongside others in your city.
  • Everyone receives a $500 home office stipend to set up your workspace properly.

If any of the above doesn't line up exactly with your experience, we still encourage you to apply.

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