{"id":201580,"url":"https://alion.io/job/doctrine-confirmed-machine-learning-engineer-productivity","title":"Confirmed Machine Learning Engineer (Productivity)","company":{"id":53066,"name":"Doctrine","domain":"doctrine.fr","url":"https://alion.io/company/doctrine-fr","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":74,"open_postings":37,"ghost_share":0.351,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":99,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","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":54000,"max_usd":117000,"period":"year","method":"role_country_seniority_unknown","sample_n":121},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GitHub","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-02-13T14:50:29Z","employer_posted_date":"2026-02-13","last_verified_at":"2026-10-29T10:43:21Z","board_verified":true,"closed_at":null,"days_open":257,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":257},"description":"Le contexte\nLa squad Productivity est au cœur de la transformation produit autour de la gestion des affaires contentieuses de bout en bout.\nLe scope de la squad s'est considérablement enrichi, au-delà du seul gain de productivité, en allant vers l'accompagnement de la réflexion et de l'argumentation juridique, à travers plusieurs langues.\nAujourd’hui, elle est responsable de toute la chaîne de valeur :\n1. Analyse de documents\n2. Rédaction automatisée des conclusions et documents juridiques\n3. Réflexion stratégique sur l’argumentation\nC’est le cœur de notre IA appliquée au raisonnement juridique : travail avancé sur les modèles LLM, le machine learning et la structuration de documents complexes.1.\nTu peux trouver des détails sur l’ensemble de la stack sur Github !\nA savoir : il n’est pas nécessaire d’avoir une expérience professionnelle dans le domaine du droit, cependant l’envie de s’investir et de monter en compétence dans la compréhension des documents juridique est importante :)\nLes missions\nDévelopper des modèles NLP (basé sur le Machine Learning ou non) pour aider aider nos clients à être plus productif. Cela peut inclure l’aide à la recherche documentaire, l’aide à la génération de documents etc…\nMaintenir et monitorer ces modèles en production\nCollaborer avec différents types de profils, notamment ingénieurs, product managers, product designers, pour identifier de nouveaux axes de développement produit\nParticiper à la diffusion interne et à la consolidation de nos bonnes pratiques dans le chapter ML; contribuer à l’élaboration de notre stratégie Engineering\nFaire monter en compétence les autres ingénieurs de l’équipe\nLe profil idéal\nUne expérience significative en terme de construction de produit reposée sur le NLP, tel quel la reconnaissance d’entités nommées, la classification de texte, le résumé de texte, la modélisation de topic, la génération de contenu etc…\nUne bonne connaissance du machine learning et en particuliers des modèles de deep learning\nUne capacité à délivrer rapidement des prototypes dans un environnement product-centric\nUn fort intérêt pour les sujets d’intelligence artificielle\nL’envie d’identifier, d'analyser, et d'intégrer en production les dernières avancées scientifiques dans le domaine\nUne bonne maitrise du développement Python, avec un focus sur la construction d’algorithmes\nLa maîtrise de la langue française et anglaise\nLes à côtés du poste\nComme tous les ingénieurs de Doctrine, tu participeras à un de nos chapters transverse, en l’espèce le chapter Data Science. Au sein de ce chapter, tu contribueras à des projets internes pour améliorer nos process et notre vision long-terme. Le chapter se réunit toutes les semaines pour :\n Partager des connaissances : suivit de l’état de l’art, revue de papiers scientifiques, amélioration continue, bonnes pratiques,…\n Proposer des évolutions : nouveaux outils à expérimenter, nouveaux process à mettre en œuvre\nTu participeras également au recrutement : tous les contributeurs individuels rencontrent des candidats à l’occasion de tests techniques ou d’entretiens.","description_format":"text","description_chars":3085,"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":[{"language":"French","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"France","iso":"FR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Legal AI","Legal Software"],"lifecycle":[{"event":"open","at":"2026-09-04T14:52:31Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.373,"p_room":0.28,"age_days":257,"expected_fill_days":99,"reasons":["conf:3","velocity","win:tail","crowd:"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/doctrine-confirmed-machine-learning-engineer-productivity","json_url":"https://alion.io/job/doctrine-confirmed-machine-learning-engineer-productivity.json","meta":{"generated_at":"2026-10-29T12:53:43Z","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":19414,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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":53066},"rest":"https://alion.io/mcp/rest/get_company?id=53066"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdoctrine-confirmed-machine-learning-engineer-productivity"},{"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%2Fdoctrine-confirmed-machine-learning-engineer-productivity"},{"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%2Fdoctrine-confirmed-machine-learning-engineer-productivity"},{"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/doctrine-confirmed-machine-learning-engineer-productivity\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdoctrine-confirmed-machine-learning-engineer-productivity"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":201580}},{"tool":"search_jobs","arguments":{"company":"doctrine.fr","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":201580},"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. 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