{"id":11437,"url":"https://alion.io/job/reducto-machine-learning-infra-engineer","title":"Machine Learning Infra Engineer","company":{"id":3678,"name":"Reducto","domain":"reducto.ai","url":"https://alion.io/company/reducto","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":88,"open_postings":33,"ghost_share":0,"stale_share":0.273,"repost_share":0,"time_to_fill_p50_days":85,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"OCR","optional":true}],"status":"live","first_seen_at":"2026-05-13T00:20:20Z","employer_posted_date":"2026-05-13","last_verified_at":"2026-10-18T05:34:08Z","board_verified":true,"closed_at":null,"days_open":158,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":158},"description":"About Reducto\nReducto is the agentic document platform for leading AI teams who demand enterprise performance at scale. We provide a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows.\nWe’ve grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies, from leading AI teams like Harvey, Vanta, and Scale, to enterprise customers across FAANG and top trading firms.\nReducto has raised over $100M from world-class investors including a16z, Benchmark, and First Round Capital.\nThe Opportunity\nAs an ML Infra Engineer, you’ll play a key role in building the inference and training frameworks that make it possible to deliver results at scale. You’ll collaborate closely with our ML and Platform teams to scale training across nodes, develop faster and more efficient serving, and create observability across the stack. This is a high-impact role where you’ll help define what high performance ML training and inference look like at Reducto.\nWhat You’ll Do\nBuild, and maintain our training and inference stack with an emphasis for fast iteration on training + flexibility for exploring new methods and high performance in inference.\n\nDevelop benchmarks for both sets of stacks to identify bottlenecks.\n\nExplore SOTA advances in training and inference and work to apply them.\n\nDesign systems for scaling model training across multi-node, multi-GPU environments with strong reliability and observability.\n\nScale distributed training and inference workloads across large GPU clusters while improving utilization, reliability, and cost efficiency.\n\nBuild the tooling, abstractions, and observability that help ML engineers move faster from experiment to production.\n\nYou’ll Thrive Here If You:\nHold yourself to a high bar for quality and precision.\n\nEnjoy solving complex problems and building from first principles.\n\nHave strong Python skills + a background in systems engineering.\n\nAre comfortable with Kubernetes and distributed training frameworks.\n\nLove getting your hands dirty with real-world implementation challenges.\n\nOperate well in fast-changing, high-growth environments.\n\nCollaborate effectively across technical and non-technical teams.\n\nTake full ownership from strategy through execution.\n\nHave 3+ years of experience.\n\nBonus points if you:\nHave experience at an early-stage or high-growth startup.\n\nHave developed in open source training/inference stacks in a meaningful way.\n\nAre excited to set up distributed inference across 100s-1000s of GPUs.\n\nCare deeply about combining technical excellence with business impact.\n\nThis is an in person role at our office in SF. We’re an early stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you.\nMore about Reducto\nNearly 80% of enterprise data is in unstructured formats like PDFs\nPDFs are the status quo for enterprise knowledge in nearly every industry. Insurance claims, financial statements, invoices, and health records are all stored in a structure that’s simply impractical for use in digital workflows. This isn’t an inconvenience-it’s a critical bottleneck that leads to dozens of wasted hours every week.\nTraditional approaches fail at reliably extracting information in complex PDFs\nOCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex. Text from different columns are jumbled together, figures are ignored, and tables are a nightmare to get right. Overcoming this usually requires a large engineering effort dedicated to building specialized pipelines for every document type you work with.\nReductobreaks document layouts into subsections and then contextually parses each depending on the type of content. This is made possible by a combination of vision models, LLMs, and a suite of heuristics we built over time. Put simply, we can help you:\nAccurately extract text and tables even with nonstandard layouts\n\nAutomatically convert graphs to tabular data and summarize images in documents\n\nExtract important fields from complex forms with simple, natural language instructions\n\nBuild powerful retrieval pipelines using Reducto’s document metadata\n\nIntelligently chunk information using the document’s layout data\n\nBenefits at Reducto\nAt Reducto, we’re invested in the well-being and growth of our team. Here’s what we currently offer:\nUnlimited PTO: We believe great work requires recharging.\n\nLunch: Receive a free lunch to eat with your teammates daily at the office\n\nReimbursed Transportation: Provide us with your receipts and we’ll take care of the costs\n\nInsurance: Generous health insurance covering medical, dental, and vision.\n\nHealth and Wellness Budget: We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar.\n\nParental Leave: Work with us to build a leave schedule that works for you and your family\n\nReducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.","description_format":"text","description_chars":5538,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Gym membership","Health insurance","Parental leave","Unlimited PTO"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","Custom Software Development","AI Development Tools","Document AI"],"lifecycle":[{"event":"open","at":"2026-05-13T00:20:20Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 4","filings_12m":4,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":217500,"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)"],"filings_for_role_12m":4}],"liveness":{"score":21,"band":"cold","label":"Long shot","p_open":1,"p_active":0.597,"p_room":0.36,"age_days":157,"expected_fill_days":85,"reasons":["conf:2","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/reducto-machine-learning-infra-engineer","json_url":"https://alion.io/job/reducto-machine-learning-infra-engineer.json","meta":{"generated_at":"2026-10-18T08:12:47Z","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":12327,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":3678},"rest":"https://alion.io/mcp/rest/get_company?id=3678"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Freducto-machine-learning-infra-engineer"},{"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%2Freducto-machine-learning-infra-engineer"},{"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%2Freducto-machine-learning-infra-engineer"},{"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/reducto-machine-learning-infra-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Freducto-machine-learning-infra-engineer"}]}