{"id":3611987,"url":"https://alion.io/job/microsoft-senior-research-engineer-machine-learning-ai-for-science","title":"Senior Research Engineer Machine Learning, AI for Science","company":{"id":18,"name":"Microsoft","domain":"microsoft.com","url":"https://alion.io/company/microsoft","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":84,"open_postings":445,"ghost_share":0.007,"stale_share":0.602,"repost_share":0.038,"time_to_fill_p50_days":29,"computed_at":"2026-11-08T05:47:12Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cambridge, United Kingdom","Berlin, Germany","Amsterdam, Netherlands","London, United Kingdom"],"countries":["GB","DE","NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":74700,"max":122600,"currency":"GBP","period":"year","gross":null,"usd_annual":164206},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"HPC","optional":true}],"status":"live","first_seen_at":"2026-10-28T18:44:53Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-09T02:22:48Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"OverviewThe mission of the team is to enable highly accurate and scalable predictions of the electronic structure of molecules and materials using deep learning-powered DFT. Accurate predictions of electronic structure are essential for predictive modeling across chemistry and materials science. Learn more about our work on accurate and scalable DFT in our blog and on our project website.\nThe primary focus of this role will be developing and maintaining efficient, reliable end-to-end infrastructure for large-scale model training, evaluation, and benchmarking, including large-scale data pipelines for heterogeneous scientific data, distributed training, experimentation, and agentic workflows. If you have solid machine learning engineering expertise and enjoy building scalable infrastructure that enables cutting-edge machine learning research, we encourage you to apply.\nThis post will be open until the positions are filled.\nResponsibilities\nDevelop and maintain efficient, reliable, and scalable infrastructure for large-scale machine learning training, evaluation, and benchmarking.\nArchitect, design, and implement large-scale data pipelines for heterogeneous scientific data, supporting efficient model training, experimentation, evaluation, and benchmarking.\nBuild and optimize distributed data processing, model training, evaluation, and benchmarking pipelines.\nDevelop software and agentic workflows to automate and improve model development, training, evaluation, and benchmarking.\nContinuous monitoring and improvement of the stability of data, training, evaluation and benchmarking workflows\nWork cross-functionally with machine learning researchers, engineers, and researchers from the natural sciences.\nMaintain high standards in code quality and software design.\nDocument and share practices across the organization. \nQualifications\nRequired qualifications:\nCompleted MSc in computer science, machine learning, AI or a related area\nProficiency in collaborative software engineering in Python\nIn-depth understanding of machine learning frameworks such as PyTorch and/or Jax\nExperience in designing, developingand deploying ML systems\nExperience with agentic software development\nExperience building and optimizing distributed systems and large-data applications, including those using tensor accelerators or GPUs.\nAbilityto work in an interdisciplinary collaborative environment, through effective communication of technical concepts to non-experts from different technical backgrounds\nQualifications that are considered a plus, but are not strictly required:\nPhD degree in computer science, machine learning, AI or a related field, or comparable industry experience in working with machine learning and large datasets.\nExperience working with major cloud platforms and/or HPC\nExperience developing high-performance scientific software.\nExperience designing or developing agentic frameworks, orchestration systems, or infrastructure for building and running AI agents.\nSoftware Engineering IC4 - The typical base pay range for this role across United Kingdom is £ 74,700.00 - £ 122,600.00 per year. Certain roles may be eligible for benefits and other compensation.\nFind additional benefits and pay information here:\nhttps://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html\nSoftware Engineering IC4 - The typical base pay range for this role across Germany is € 90,100.00 - € 152,500.00 per year. Certain roles may be eligible for benefits and other compensation. \nFind additional benefits and pay information here:\nhttps://careers.microsoft.com/v2/global/en/corporate-pay/germany-corporate-pay.html\nSoftware Engineering IC4 - The typical base pay range for this role across Netherlands is € 78,800.00 - € 133,300.00 per year. Certain roles may be eligible for benefits and other compensation. \nFind additional benefits and pay information here:\nhttps://careers.microsoft.com/v2/global/en/corporate-pay/netherlands-corporate-pay.html\nSoftware Engineering IC4 - The typical base pay range for this role across United Kingdom is £ 74,700.00 - £ 122,600.00 per year. Certain roles may be eligible for benefits and other compensation. \nFind additional benefits and pay information here:\nhttps://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.\nMicrosoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.","description_format":"text","description_chars":5216,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"country"},{"name":"United Kingdom","iso":"GB","kind":"country"},{"name":"Netherlands","iso":"NL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Console Games","Cloud Platforms (IaaS & PaaS)","Gaming Consoles","Developer Tools"],"lifecycle":[{"event":"open","at":"2026-11-02T14:34:45Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; Skilled Worker","cap_exempt":false,"checked_at":"2026-11-08T10:45:15+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":57,"band":"ok","label":"Likely open","p_open":1,"p_active":0.63,"p_room":0.9,"age_days":10,"expected_fill_days":29,"reasons":["conf:0","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-11-08T05:47:12Z"},"pay":{"stated_usd_annual":164206,"is_top_pay":false},"html_url":"https://alion.io/job/microsoft-senior-research-engineer-machine-learning-ai-for-science","json_url":"https://alion.io/job/microsoft-senior-research-engineer-machine-learning-ai-for-science.json","meta":{"generated_at":"2026-11-09T05:42:20Z","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":1065,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":18},"rest":"https://alion.io/mcp/rest/get_company?id=18"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmicrosoft-senior-research-engineer-machine-learning-ai-for-science"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fmicrosoft-senior-research-engineer-machine-learning-ai-for-science"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fmicrosoft-senior-research-engineer-machine-learning-ai-for-science"},{"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/microsoft-senior-research-engineer-machine-learning-ai-for-science\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmicrosoft-senior-research-engineer-machine-learning-ai-for-science"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3611987}},{"tool":"search_jobs","arguments":{"company":"microsoft.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3611987},"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"}}