{"id":2291324,"url":"https://alion.io/job/dna325-machine-learning-platform-engineer","title":"Machine Learning Platform Engineer","company":{"id":4411063,"name":"DNA325","domain":"dna325.com","url":"https://alion.io/company/dna325","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["DE","ID","IE","PL","ES","SE","CH","PT"],"hiring_countries_total":8,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"JAX","optional":true},{"name":"LLM","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"SGLang","optional":true},{"name":"TensorRT","optional":true},{"name":"TensorRT-LLM","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-10-11T18:32:46Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-12T05:11:12Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Our client is an AI-native product company built to replace how billions of people manage their digital lives - starting with email, notes, and task tools that were never designed to be AI-native. It's backed by multi-million-dollar investment and built remote-first from day one, with a clear target: cut the time it takes users to get everyday things done by roughly 90%. That means solving the problems most AI products avoid - long-running workflows, persistent context, and reliable behavior under real-world, non-deterministic conditions. The team is small and high-talent-density by design, not by necessity, and moves at a pace that matches the scale of what it's building.\nAbout the Role\nAs an ML Platform Engineer, you'll build the infrastructure and systems that power our client's AI capabilities - designing and operating everything behind the AI stack, from model training and evaluation to deployment, inference, observability, and continuous improvement. You'll work closely with AI engineers, researchers, and product engineers to turn models into reliable, scalable, cost-efficient production systems, and build the platforms and tooling that let the team experiment quickly and ship AI capabilities with confidence.\nWhat You'll Work On\nBuild and operate the ML infrastructure and platforms powering the AI products\nDesign systems for model training, evaluation, deployment, inference, and experimentation\nBuild and optimize model serving and inference infrastructure for high-throughput, low-latency workloads\nImprove reliability, scalability, latency, and cost efficiency of AI systems\nDevelop reliable pipelines for data preparation, training, evaluation, model release, and continuous improvement\nBuild platforms and tooling that let AI engineers and researchers experiment, evaluate, and ship models faster\nDevelop evaluation and benchmarking infrastructure to measure model quality, performance, and regressions\nBuild production observability, monitoring, tracing, and alerting for AI/ML workloads\nIdentify bottlenecks across the ML stack and continuously improve system performance\nWork closely with AI engineers, researchers, and product teams to turn evolving model requirements into production-ready infrastructure\nRequirements\nStrong software engineering fundamentals and experience building production systems\nExperience building ML infrastructure, platforms, or production machine learning systems\nExperience with model deployment, inference, evaluation, or data pipelines\nStrong understanding of distributed systems and system reliability\nAbility to write clean, maintainable, production-quality code\nComfortable working in ambiguous, fast-moving environments\nA bias toward ownership, experimentation, and continuous improvement\nLocation\nRemote, open to candidates in Poland, Portugal, Spain, Sweden, Switzerland, Germany, Ireland, Indonesia, Seoul, or Singapore.\nTech Stack\nPython · PyTorch / JAX · LLM/ML serving infrastructure (vLLM, SGLang, TensorRT-LLM) · cloud infrastructure · distributed systems · ML/data pipelines and workflow orchestration · GPU infrastructure and performance tooling · vector databases and retrieval infrastructure\nWhat Success Looks Like\nAI infrastructure reliably supports production workloads at scale\nModels can be trained, evaluated, deployed, and improved efficiently\nInference systems deliver strong latency, throughput, reliability, and cost efficiency\nML pipelines are reproducible, observable, maintainable, and robust\nModel and infrastructure regressions are detected quickly and diagnosed efficiently\nCommon ML infrastructure capabilities become reusable platform primitives rather than being rebuilt per product\nThe AI stack can evolve rapidly as new models, architectures, and inference techniques emerge\nWhat to Expect\nThe best products in the world are built by small, world-class teams. Decisions are made collectively, at rapid speed - balancing high-quality shipping with fast learning. You'll be expected to bring structure, exercise judgment, and execute independently.\nCompensation and benefits are competitive and vary by location; the package includes base salary and equity, discussed openly with you as part of the process.\nIf there's a fit, expect 3-4 interviews total, followed by a prompt, transparent decision. To be considered, please make sure to answer the screening questions in the application form - we're not able to review submissions that skip them.","description_format":"text","description_chars":4449,"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":[]},"benefits":["Equity"],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"country"},{"name":"Indonesia","iso":"ID","kind":"country"},{"name":"Ireland","iso":"IE","kind":"country"},{"name":"Poland","iso":"PL","kind":"country"},{"name":"Spain","iso":"ES","kind":"country"},{"name":"Sweden","iso":"SE","kind":"country"},{"name":"Switzerland","iso":"CH","kind":"country"},{"name":"Portugal","iso":"PT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-11T18:32:46Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":38,"reasons":["conf:1","win:early"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/dna325-machine-learning-platform-engineer","json_url":"https://alion.io/job/dna325-machine-learning-platform-engineer.json","meta":{"generated_at":"2026-10-12T10:55:33Z","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":16865,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":4411063},"rest":"https://alion.io/mcp/rest/get_company?id=4411063"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdna325-machine-learning-platform-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%2Fdna325-machine-learning-platform-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%2Fdna325-machine-learning-platform-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/dna325-machine-learning-platform-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdna325-machine-learning-platform-engineer"}]}