{"id":858,"url":"https://alion.io/job/cohere-senior-ml-systems-engineer-frameworks-tooling","title":"Senior ML Systems Engineer, Frameworks & Tooling","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":69,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":73,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["London, United Kingdom","New York, United States","Paris, France","San Francisco, United States","Toronto, Canada","Montreal, Canada"],"countries":["GB","US","FR","CA"],"hiring_countries":["GB","US","FR","CA"],"hiring_countries_total":4,"salary":null,"salary_estimate":{"min_usd":164000,"max_usd":305000,"period":"year","method":"role_seniority_country_cell","sample_n":42},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Cohere SDK","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Docker","optional":false},{"name":"FSDP","optional":false},{"name":"HPC","optional":false},{"name":"JAX","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"NCCL","optional":false},{"name":"Ray","optional":false},{"name":"SLURM","optional":false},{"name":"DeepSpeed","optional":true},{"name":"Megatron-LM","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorRT","optional":true},{"name":"TensorRT-LLM","optional":true},{"name":"vLLM","optional":true},{"name":"xFormers","optional":true}],"status":"live","first_seen_at":"2025-12-01T10:17:23Z","employer_posted_date":"2025-12-01","last_verified_at":"2026-10-17T04:20:32Z","board_verified":true,"closed_at":null,"days_open":319,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":319},"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:\nWe’re looking for a senior engineer to help build, maintain and evolve the training framework that powers our frontier-scale language models. This role sits at the intersection of large-scale training, distributed systems, and HPC infrastructure. You will design and maintain the core components that enable fast, reliable, and scalable model training - and build the tooling that connects research ideas to thousands of GPUs.\nIf you enjoy working across the full stack of ML systems, this role gives you the opportunity and autonomy to have massive impact by working on projects such as:\nBuilding a high-performance data loading and caching pipeline.\n\nImplementing performance profiling across the ML systems stack\n\nDeveloping internal metrics and monitoring for training runs.\n\nBuilding reproducibility and regression testing infrastructure.\n\nDeveloping a performant fault-tolerant distributed checkpointing system.\n\nKey Responsibilities:\nBuild and own the training framework responsible for large-scale LLM training.\n\nDesign distributed training abstractions (data/tensor/pipeline parallelism, FSDP/ZeRO strategies, memory management, checkpointing).\n\nImprove training throughput and stability on multi-node clusters (e.g., GB200/300, AMD, H200/100).\n\nDevelop and maintain tooling for monitoring, logging, debugging, and developer ergonomics.\n\nCollaborate closely with infra teams to ensure our cluster, container environments, and hardware configurations support high-performance training.\n\nInvestigate and resolve performance bottlenecks across the ML systems stack.\n\nBuild robust systems that ensure reproducible, debuggable, large-scale runs.\n\nQualifications:\nStrong engineering experience in large-scale distributed training or HPC systems. Deep familiarity with JAX internals, distributed training libraries, or custom kernels/fused ops.\n\nExperience with multi-node cluster orchestration (Slurm, Ray, Kubernetes, or similar).\n\nComfort debugging performance issues across CUDA/NCCL, networking, IO, and data pipelines.\n\nExperience working with containerized environments (Docker, Singularity/Apptainer).\n\nA track record of building tools that increase developer velocity for ML teams.\n\nExcellent judgment around trade-offs: performance vs complexity, research velocity vs maintainability.\n\nStrong collaboration skills - you’ll work closely with infra, research, and deployment teams.\n\nAny of the following would also be good to have for this role:\nExperience with training LLMs or other large transformer architectures.\n\nContributions to ML frameworks (PyTorch, JAX, DeepSpeed, Megatron, xFormers, etc.).\n\nFamiliarity with evaluation and serving frameworks (vLLM, TensorRT-LLM, custom KV caches).\n\nExperience with data pipeline optimization, sharded datasets, or caching strategies.\n\nBackground in performance engineering, profiling, or low-level systems.\n\nBonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).\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":6406,"description_truncated":false,"requirements":{"experience_years_min":null,"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 Kingdom","iso":"GB","kind":"country"},{"name":"United States","iso":"US","kind":"country"},{"name":"France","iso":"FR","kind":"country"},{"name":"Canada","iso":"CA","kind":"country"},{"name":"New York","iso":null,"kind":"city"},{"name":"Paris","iso":null,"kind":"city"},{"name":"San Francisco","iso":null,"kind":"city"},{"name":"London","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":"2025-12-01T10:17:23Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker","cap_exempt":false,"checked_at":"2026-10-16T06:21:30+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.271,"p_room":0.28,"age_days":318,"expected_fill_days":73,"reasons":["conf:3","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/cohere-senior-ml-systems-engineer-frameworks-tooling","json_url":"https://alion.io/job/cohere-senior-ml-systems-engineer-frameworks-tooling.json","meta":{"generated_at":"2026-10-17T05:24:05Z","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":7280,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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-senior-ml-systems-engineer-frameworks-tooling"},{"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-senior-ml-systems-engineer-frameworks-tooling"},{"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-senior-ml-systems-engineer-frameworks-tooling"},{"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-senior-ml-systems-engineer-frameworks-tooling\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcohere-senior-ml-systems-engineer-frameworks-tooling"}]}