{"id":1429338,"url":"https://alion.io/job/lilly-ai-phd-ml-engineering-intern","title":"AI PhD ML Engineering Intern","company":{"id":1753780,"name":"Eli Lilly and Company","domain":"lilly.com","url":"https://alion.io/company/lilly-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":8,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Indianapolis, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":119850,"max":136000,"currency":"USD","period":"year","gross":null,"usd_annual":136000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"Git","optional":false},{"name":"HPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MPI","optional":false},{"name":"Python","optional":false},{"name":"SLURM","optional":false},{"name":"C","optional":true}],"status":"live","first_seen_at":"2026-09-04T00:00:00Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-10-15T21:58:59Z","board_verified":true,"closed_at":null,"days_open":43,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":43},"description":"At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work-but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.\nOrganization Overview\nAt Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work-but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients.\nFunctional Overview\nTech@Lilly builds and maintains capabilities using cutting edge technologies like most prominent tech companies. What differentiates Tech@Lilly is that we redefine what's possible through tech to advance our purpose - creating medicines that make life better for people around the world, like data driven drug discovery and connected clinical trials. We hire the best technology professionals from a variety of backgrounds, so they can bring an assortment of knowledge, skills, and diverse thinking to deliver innovative solutions in every area of our business.\nThe Advanced Intelligence organization sits at the forefront of Lilly's AI transformation, driving artificial intelligence and machine learning to revolutionize how we discover, develop, and deliver medicines to patients. Leading initiatives from AI-enabled laboratories to Kernel Lilly-the AI-enabled research infrastructure stack serving as the operating system for pharmaceutical research-to strategic partnerships with world-class technology companies, to proprietary foundation models trained on Lilly's research data, this team is building the technical foundation for AI-powered R&D. With deep expertise in cutting-edge AI technologies and pharmaceutical science, Advanced Intelligence is transforming Lilly into an AI-first drug discovery organization, accelerating breakthrough treatments to patients.\nYou will work as a member of the ML Engineering team supporting Lilly’s Research AIOS, reporting to an Engineering Director. You’ll contribute to the Compute domain of the AI Operating System - specifically to the tooling that decides, at job-submission time, how a model gets scaled out and run reliably across a large, heterogeneous, non-autoscaling GPU/CPU fleet. You'll build automation that improves the efficiency and resiliency of prototyped models - graph-based, diffusion, flow-matching, and language models among them - as they move toward broader production use. The core of your work will focus on one connected problem with three parts: automatically sizing how many parallel replicas and which hardware to use, partitioning a dataset across those replicas without manual sharding, and making batch jobs resumable so an interruption only re-does the remaining work instead of starting over.\nBasic Qualifications\nCurrently pursuing a PhD in Computer Science, Applied Mathematics, Physics, Engineering, or a related field, with at least 2 years of graduate research completed\nCoursework or research experience in at least one of: high-performance/parallel computing, distributed systems, or ML systems engineering\nExperience with containerization (Docker)\nExposure to batch/distributed job execution in at least one of: traditional HPC job schedulers (e.g., Slurm, Grid Engine) or running batch workloads in a Kubernetes environment\nAvailable for 12 weeks full-time engagement between May-September 2027\nAdditional Preferences\nPrior experience using AI tools (e.g., generative AI platforms, automation tools, or AI-assisted research/analytics tools) in an academic, project, or work setting\nHow You’ll Succeed\nContribute to the design, implementation, and testing of platform capabilities within the Compute domain.\nYou will build and ship features for a compute platform’s job-sizing, data-partitioning, and resumable-execution tooling under guidance from your mentor\nYou will write well-tested, production-quality code following team architectural standards and design patterns\nYou will participate in code reviews, design discussions, and sprint ceremonies\nLearning & Growth\nDevelop technical depth in ML systems engineering while gaining pharma R&D context.\nYou will gain hands-on experience with GPU computing, heterogeneous-cluster scheduling, and distributed/parallel execution of batch workloads\nYou will learn how resource-sizing, data-partitioning, and fault-tolerance decisions affect platform performance, cost, and reliability across diverse model architectures\nYou will document your work and share learnings with the broader team\nCollaboration\nWork effectively within a cross-functional engineering team.\nYou will pair with senior engineers on complex problems, asking questions and contributing ideas\nYou will participate in stand-ups, retrospectives, and planning sessions\nYou will present your intern project outcomes to the team and leadership at the end of the rotation\nWhat You Should Bring\nCuriosity about AI/ML systems and how they’re built at scale\nFoundational programming skills in Python, and comfort with parallel or distributed computing concepts (e.g., MPI, multiprocessing, or distributed data/task frameworks)\nExposure to machine learning concepts and at least one class of generative or predictive model architecture (coursework, personal projects, or research)\nFamiliarity with version control (Git) and collaborative development workflows\nStrong communication skills - ability to ask good questions and document what you learn\nSelf-direction balanced with knowing when to ask for help\nInterest in pharmaceutical research or life sciences applications of AI (preferred, not required)\nAs part of Lilly's commitment to innovation, interns will have the opportunity to build fluency with AI tools used across the business. We expect interns to approach these tools with curiosity, apply critical thinking to AI-assisted work, and always prioritize accuracy, confidentiality, and ethical standards in how they use them.\nLilly arranges various intern activities including sporting events, dinners, lunch and learns, volunteer activities etc. to provide opportunities for socializing, professional development, and learning more about Lilly.\nInterns will receive 1 week of paid time off during the Lilly summer shut-down (July 5th - July 9th) \n1:1 mentoring from an experienced professional in the function\nInterns will receive a competitive salary and free parking at their work site, as well as access to Lilly’s LIFE fitness center, bike garage, and many other discounts\nIf the intern's job position requires a move from another location, Lilly will provide subsidized housing\nLilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.\nLilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.\nOur employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women’s Initiative for Leading at Lilly (WILL).\nActual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is\n$119,850 - $136,000Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.","description_format":"text","description_chars":9734,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Life insurance","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Education","Personal Development"],"lifecycle":[{"event":"open","at":"2026-09-29T00:49:40Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 420 · green card filings: 30","filings_12m":420,"filings_prev_12m":452,"green_card_filings_12m":30,"median_offered_wage_usd":141567,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":52}],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.419,"p_room":0.36,"age_days":42,"expected_fill_days":23,"reasons":["conf:7","velocity","win:tail","crowd:junior"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":136000,"is_top_pay":false},"html_url":"https://alion.io/job/lilly-ai-phd-ml-engineering-intern","json_url":"https://alion.io/job/lilly-ai-phd-ml-engineering-intern.json","meta":{"generated_at":"2026-10-17T03:17:17Z","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":4297,"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":1753780},"rest":"https://alion.io/mcp/rest/get_company?id=1753780"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flilly-ai-phd-ml-engineering-intern"},{"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%2Flilly-ai-phd-ml-engineering-intern"},{"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%2Flilly-ai-phd-ml-engineering-intern"},{"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/lilly-ai-phd-ml-engineering-intern\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flilly-ai-phd-ml-engineering-intern"}]}