{"id":70033,"url":"https://alion.io/job/cohere-member-of-technical-staff-model-efficiency","title":"Member of Technical Staff, 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":86,"open_postings":60,"ghost_share":0,"stale_share":0.367,"repost_share":0,"time_to_fill_p50_days":75,"computed_at":"2026-11-02T06:13:15Z"}},"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":288000,"max_usd":542000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":197},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Cohere SDK","optional":false},{"name":"CUDA","optional":false},{"name":"KV Cache","optional":false},{"name":"LLM","optional":false},{"name":"Mixture of Experts","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"SGLang","optional":false},{"name":"Speculative Decoding","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2025-11-07T23:19:41Z","employer_posted_date":"2025-11-07","last_verified_at":"2026-11-02T19:17:08Z","board_verified":true,"closed_at":null,"days_open":359,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":359},"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:\nOur team is a fast-growing group of researchers and engineers focused on building reliable ML systems and pushing the boundaries of LLM inference efficiency. We develop techniques that improve how models execute in production, driving lower latency, higher throughput, and consistent quality across diverse workloads.\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.\nJob Responsibilities:\nAs an engineer on this team, you’ll work across the inference stack to improve core performance metrics by diving deep into model execution, identifying bottlenecks, and developing innovative optimizations. You’ll collaborate closely with modeling and systems teams to experiment, measure, and ship improvements that meaningfully accelerate inference. As the team evolves, you’ll have opportunities to build expertise in advanced performance techniques, including GPU/CUDA optimizations, kernel-level improvements, and model execution strategies for MoE and large-scale architectures.\nQualifications:\n5+ years of experience writing high-performance, production-quality code\n\nStrong programming skills in C++ or Python (Rust/Go also welcome)\n\nExperience working with large language models and familiarity with the LLM inference ecosystem (e.g., vLLM, SGLang, etc.)\n\nAbility to diagnose and resolve performance bottlenecks across the model execution stack\n\nA strong bias for action - you ship fast, measure impact, and iterate\n\nIt’s a big plus if you have experience with:\nGPU programming, CUDA, or low-level systems optimization\n\nLanguage modeling with transformers (MoE, speculative decoding, KV-cache optimizations)\n\nScaling performance-critical distributed systems (e.g., computation, search, storage)\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. If jobs are viewed on other sites then please verify these through our official careers page.","description_format":"text","description_chars":5479,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Home office","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Canada","iso":"CA","kind":"country"},{"name":"New York","iso":null,"kind":"city"},{"name":"San Francisco","iso":null,"kind":"city"},{"name":"Toronto","iso":null,"kind":"city"},{"name":"Montreal","iso":null,"kind":"city"}],"hiring_excludes":[],"relocation_offered":false,"industries":["LLM & Generative AI","AI Agents","Foundation Models"],"lifecycle":[{"event":"open","at":"2025-11-07T23:19:41Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 10","filings_12m":10,"filings_prev_12m":14,"green_card_filings_12m":0,"median_offered_wage_usd":252500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":8}],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.356,"p_room":0.28,"age_days":359,"expected_fill_days":75,"reasons":["seen:359","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-02T06:13:15Z"},"pay":null,"html_url":"https://alion.io/job/cohere-member-of-technical-staff-model-efficiency","json_url":"https://alion.io/job/cohere-member-of-technical-staff-model-efficiency.json","meta":{"generated_at":"2026-11-02T22:33:37Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":31648,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":270},"rest":"https://alion.io/mcp/rest/get_company?id=270"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcohere-member-of-technical-staff-model-efficiency"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcohere-member-of-technical-staff-model-efficiency"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcohere-member-of-technical-staff-model-efficiency"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/cohere-member-of-technical-staff-model-efficiency\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcohere-member-of-technical-staff-model-efficiency"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":70033}},{"tool":"search_jobs","arguments":{"company":"cohere.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":70033},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}