{"id":2552649,"url":"https://alion.io/job/deephealth-senior-machine-learning-engineer-ml-platform","title":"Senior Machine Learning Engineer, ML Platform","company":{"id":692266,"name":"DeepHealth","domain":"deephealth.com","url":"https://alion.io/company/deephealth","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"B","score":74,"open_postings":7,"ghost_share":0,"stale_share":0.857,"repost_share":0,"time_to_fill_p50_days":60,"computed_at":"2026-10-14T06:34:16Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":58000,"max_usd":113000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":36},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"HPC","optional":false},{"name":"IAM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Ray","optional":false},{"name":"Rest API","optional":false},{"name":"SLURM","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-08T16:57:58Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-15T01:39:24Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"The Senior Machine Learning Engineer, ML Platform is responsible for building, running, and evolving the ML monorepo used by the X-ray, CT, and MRI machine learning group at DeepHealth. The monorepo covers the full path from experimentation to product: dataset and sample definitions, training and evaluation code, experiment tracking, model export, and the inference servers that run in production. Everyone on the team contributes to the monorepo; this role is the single point of accountability for it. This hands-on role owns the architecture, tooling, and engineering standards of that codebase for a distributed team of about twenty machine learning engineers and scientists, working with model developers and software engineers to make the team’s work fast, better, and easier to audit. It also leads the team's agentic coding strategy, shaping how AI coding agents are used across the codebase. The role reports to the Leader of the ML for X-ray/CT/MRI group.\nEssential Duties and Responsibilities\nOwn the architecture and roadmap of the ML Monorepo:\nModule boundaries, shared abstractions for datasets and samples, training and evaluation loops, configuration, and experiment tracking.\n\nBuild and run the engineering tooling around the codebase:\nContinuous integration, testing, dependency management, containers, artifact and model registries, and GPU job scheduling on cloud (GCP) and HPC infrastructure.\n\nOwn the path from trained checkpoint to deployable model:\nModel packaging, inference servers with enforced API contracts, reproducibility, and performance and memory budgets on target hardware.\n\nDefine and enforce engineering standards (code review, testing, documentation) in a way that accelerates research rather than slowing it down.\n\nEnsure traceability of data, code, and model versions across experiments and releases.\n\nInvestigate and resolve performance, reliability, and usability issues in the stack raised by the team and reduce their recurrence through shared tooling.\n\nDrive the team's agentic coding strategy: define how AI coding agents are used in the monorepo, set up the tooling, guardrails, and conventions that make them effective, and help colleagues adopt them.\n\nReview code, mentor colleagues on engineering practices, and communicate technical decisions and trade-offs clearly.\n\nPLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned and management retains the right to add or change duties at any time.\nRequirements\nMinimum Qualifications, Education and Experience\nMaster's degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience (required).\n\n5+ years of software engineering experience, including a significant portion building infrastructure or tooling used by machine learning teams, such as an ML platform or a training framework (required).\n\nStrong Python skills and software engineering fundamentals: API design, testing, refactoring, and attention to developer experience (required).\n\nSolid PyTorch knowledge and practical experience with model training and profiling (required).\n\nExperience running ML workloads on a cloud platform, ideally GCP (Vertex AI, Artifact Registry, IAM, storage), and with containerization (required).\n\nExperience taking models to production: model packaging, inference serving, and performance and reliability constraints (required).\n\nAbility to work closely with researchers, translate recurring pain points into shared tooling, and push back constructively when needed (required).\n\nAbility to work autonomously in a distributed, multi-site team, with clear verbal and written communication in English (required).\n\nMedical imaging experience (DICOM, 3D volumes, large images) (preferred).\n\nHPC and Slurm experience (preferred).\n\nContributions to open-source ML tooling (preferred).\n\nQuality Standards\nCommunicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors.\n\nDemonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance.\n\nFollows all local, regional and country laws concerning employment.\n\nFollows all DeepHealth policies and procedures.\n\nFollows data privacy, compliance, safety and confidentiality standards at all times.\n\nPractices universal safety precautions.\n\nPromotes good public relations on the phone and in person.\n\nAdapts and is willing to learn new tasks, methods, and systems.\n\nReports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines.\n\nCompletes job responsibilities in a quality and timely manner.\n\nTravel\nThis position may require occasional travel between team sites (Paris, the Netherlands, Grenoble/Rennes).\nWorking Environment\nOffice / Hybrid. Paris, Île-de-France, France.\nPhysical Demands\nThe employee must be able to perform the essential duties and responsibilities of the position, with or without reasonable accommodation.\nSalary:\nDependent upon experience\n50,000-80,000 EURO","description_format":"text","description_chars":5252,"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":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"France","iso":"FR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Medical Imaging Systems","Medical AI"],"lifecycle":[{"event":"open","at":"2026-10-14T18:20:30Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":6,"expected_fill_days":60,"reasons":["conf:3","win:early"],"computed_at":"2026-10-15T05:35:06Z"},"pay":null,"html_url":"https://alion.io/job/deephealth-senior-machine-learning-engineer-ml-platform","json_url":"https://alion.io/job/deephealth-senior-machine-learning-engineer-ml-platform.json","meta":{"generated_at":"2026-10-15T05:35:06Z","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":8212,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":692266},"rest":"https://alion.io/mcp/rest/get_company?id=692266"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdeephealth-senior-machine-learning-engineer-ml-platform"},{"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%2Fdeephealth-senior-machine-learning-engineer-ml-platform"},{"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%2Fdeephealth-senior-machine-learning-engineer-ml-platform"},{"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/deephealth-senior-machine-learning-engineer-ml-platform\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdeephealth-senior-machine-learning-engineer-ml-platform"}]}