{"id":860,"url":"https://alion.io/job/cohere-staff-research-engineer-model-efficiency","title":"Staff Research Engineer, Model Efficiency","company":{"id":270,"name":"Cohere","domain":"cohere.com","url":"https://alion.io/company/cohere","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":87,"open_postings":68,"ghost_share":0,"stale_share":0.338,"repost_share":0,"time_to_fill_p50_days":75,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":{"label":"UTC-8 – UTC-5","utc_offset_min":-8,"utc_offset_max":-5},"hiring_geo_confidence":"inferred","locations":["New York, United States","San Francisco, United States","Toronto, Canada","Montreal, Canada"],"countries":["US","CA"],"hiring_countries":["US","CA"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":294000,"max_usd":543000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":157},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Cohere SDK","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Mixture of Experts","optional":false}],"status":"live","first_seen_at":"2025-11-07T23:27:54Z","employer_posted_date":"2025-11-07","last_verified_at":"2026-10-20T01:25:06Z","board_verified":true,"closed_at":null,"days_open":346,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":345},"description":"Who are we?\nCohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.\nWe’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.\nWe 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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.\nWe are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!\nRole Overview:\nLarge 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:\nmodel architecture and MoE routing optimization\n\ndecoding and inference-time algorithm improvements\n\nsoftware/hardware co-design for GPU acceleration\n\nperformance optimization without compromising model quality\n\nPlease 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.\nKey Responsibilities:\nAs a Staff Research Engineer, you will develop, prototype, and deploy techniques that materially improve how fast and efficiently our models run in production.\nQualifications:\nHave a PhD in Machine Learning or a related field\n\nUnderstand LLM architecture, and how to optimize LLM inference given resource constraints\n\nHave significant experience with one or more techniques that enhance model efficiency\n\nStrong software engineering skills\n\nAn appetite to work in a fast-paced high-ambiguity start-up environment\n\nPublications at top-tier conferences and venues (ICLR, ACL, NeurIPS)\n\nPassion to mentor others\n\nWorking Location:\nThis 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.\nFull-Time Employees at Cohere enjoy these Perks:\nA weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.\n\nFull health and dental benefits, including a separate budget for mental health.\n\nRRSP matching, 401K, Pension Scheme.\n\n100% Parental Leave top-up for up to 6 months, for either parent.\n\nAnnual enrichment benefits:\nArts & culture, fitness/wellness, quality time, and a workspace improvement credit.\nEducation & learning stipend for conferences, courses, and coaching.\n\n6 weeks of paid vacation (30 working days!)\n\nBudget for traveling to other offices if you are remote, plus an annual company offsite.\n\nHow and Where We Work:\nCohere 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.\n\nFor those in the office: a daily lunch program, plenty of snacks, and regular community and social events.\n\nFor those not near an office: a co-working benefit so you can work alongside others in your city.\n\nEveryone receives a $500 home office stipend to set up your workspace properly.\n\nIf any of the above doesn’t line up exactly with your experience, we still encourage you to apply.\nWe 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.\nWe may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.\nBeware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. 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