{"id":2291321,"url":"https://alion.io/job/dna325-technical-lead-machine-learning","title":"Technical Lead, Machine Learning","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":"lead","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":{"min_usd":141000,"max_usd":299000,"period":"year","method":"global_role_seniority_cell","sample_n":1048},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"DPO","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Distillation","optional":false},{"name":"QLoRA","optional":false},{"name":"SFT","optional":false},{"name":"JAX","optional":true},{"name":"PEFT","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true}],"status":"live","first_seen_at":"2026-10-11T18:32:46Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-12T01:58:05Z","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 Technical Lead, Machine Learning, you own the execution layer of the company's intelligence - translating research direction into reliable, scalable, production-grade ML systems. This role sits at the intersection of research, infrastructure, and product: you're responsible for making models trainable, deployable, observable, and performant under real-world constraints.\nWhat You'll Do\nOwn end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, deployment\nFine-tune and adapt models using state-of-the-art methods - LoRA, QLoRA, SFT, DPO, distillation\nArchitect and operate scalable inference systems, balancing latency, cost, and reliability\nDesign and maintain data systems for high-quality synthetic and real-world training data\nImplement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership\nOwn production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies\nCollaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products\nMake pragmatic trade-offs and ship improvements quickly, learning from real usage\nWork under real production constraints: latency, cost, reliability, and safety\nRequirements\nYou've built or shipped real ML systems used by people, not just demos\nYou're comfortable working with large models and understanding their failure modes\nYou write strong, production-grade code and care about system correctness\nYou're self-directed, pragmatic, and take full ownership of outcomes\nYou communicate clearly and collaborate well in small, high-trust teams\nLocation\nRemote, open to candidates in Poland, Portugal, Spain, Sweden, Switzerland, Germany, Ireland, Indonesia, Seoul, or Singapore.\nTech Stack\nPython · PyTorch / JAX · GPU-based training and inference systems\nWhat Success Looks Like\nResearch and models reliably translate into production-ready solutions with clear performance and quality targets\nML pipelines, training loops, and inference systems are stable, efficient, and maintainable\nProduction issues are detected, debugged, and resolved quickly, minimizing user impact\nTeam members are supported, aligned, and able to deliver high-impact ML work with minimal friction\nIterations on models and systems are measurable, safe, and improve user experience over time\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":3785,"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":35,"reasons":["conf:2","win:early"],"computed_at":"2026-10-12T04:42:35Z"},"pay":null,"html_url":"https://alion.io/job/dna325-technical-lead-machine-learning","json_url":"https://alion.io/job/dna325-technical-lead-machine-learning.json","meta":{"generated_at":"2026-10-12T04:42:35Z","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":7309,"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-technical-lead-machine-learning"},{"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-technical-lead-machine-learning"},{"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-technical-lead-machine-learning"},{"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-technical-lead-machine-learning\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdna325-technical-lead-machine-learning"}]}