{"id":1852451,"url":"https://alion.io/job/kausable-ml-product-engineer","title":"ML Product Engineer","company":{"id":2176568,"name":"kausable","domain":"kausable.ai","url":"https://alion.io/company/kausable","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Join","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Heidelberg, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":79000,"max_usd":182000,"period":"year","method":"role_country_seniority_unknown","sample_n":60},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM Evaluation","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"AWS","optional":true},{"name":"Docker","optional":true},{"name":"Go","optional":true},{"name":"In-Context Learning","optional":true},{"name":"RunPod","optional":true},{"name":"Synthetic Data","optional":true},{"name":"Weights & Biases","optional":true}],"status":"live","first_seen_at":"2026-08-03T21:26:15Z","employer_posted_date":"2026-08-03","last_verified_at":"2026-10-11T15:40:34Z","board_verified":true,"closed_at":null,"days_open":69,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":69},"description":"At kausable, we build causal, reasoning-first models that learn from a handful of examples and generalize across domains. Research gets us to a capable model. This role gets that model into the hands of users. As our ML Product Engineer, you own the path from a promising result in the lab to a dependable production capability: serving, evaluation, data flows, reliability, latency and cost. You will work at the boundary between research and product, where good technical judgment matters more than a clean handover.\nTasks\nTurn research models into production-grade services with clear reliability, latency and cost targets.\nBuild evaluation harnesses and release criteria that show quantitatively when a model is ready to ship.\nDesign the data pipelines, versioning and observability needed across training, evaluation and live inference.\nBuild stable APIs and developer-facing abstractions around our models.\nWork closely with researchers to expose failure modes and turn product feedback into better models and evaluations.\nTranslate customer and design-partner needs into reusable platform capabilities rather than one-off solutions.\nOwn model releases, monitoring and rollback patterns as the production footprint grows.\nRequirements\nA track record of shipping ML-powered systems to production and operating them after launch.\nStrong software engineering skills in Python and hands-on fluency with PyTorch.\nExperience with model serving, APIs, containers and cloud infrastructure.\nSound judgment around evaluation, observability, reliability and production trade-offs.\nThe ability to work directly with customers, researchers and product stakeholders.\nA pragmatic, outcome-oriented mindset: you optimize for dependable capabilities that users can actually adopt.\nWe are primarily hiring at senior level. We are also open to exceptional candidates with fewer years of experience who can demonstrate comparable depth, judgment and ownership.\nNice to have:\nIn-context learning, PFNs, synthetic data or probabilistic models.\nWeights & Biases, model registries, CI for models or comparable MLOps tooling.\nSDK or developer-tooling design.\nSecurity, privacy or on-premise deployment requirements.\nPrior startup, design-partner or 0-to-1 product experience.\nBenefits\nWhere This Can Go\nYou will define how kausable ships ML: the patterns, tooling and standards between research and production. As the team grows, the role can expand into technical ownership of the model-to-product stack or leadership of a small ML product group. The trade-off is part of the job: shipping quickly matters, but only when the resulting system remains measurable, reusable and dependable.\nOur Culture\nWe are \"Putting Science at the Core of AI\". That means we:\nare scientists at heart, with a builder's mindset,\nare open to challenge, grounded in curiosity and respect,\nwelcome diverse perspectives and value thoughtful, open debate,\nfocus on outcomes and real-world impact,\nfoster an environment of support, inspiration, and freedom for everyone to do their best work.\nPerks & Benefits\nVSOP equity: a real stake in what we build.\n30 days of paid holiday per year.\nStatutory social insurance.\nConference travel and role-relevant learning.\nFlexible hybrid work, with roughly one in-person team meet-up per month.\nA high-end laptop and access to the cloud compute required for the role.\nTools and Infrastructure\nPython and PyTorch.\nWeights & Biases and model-evaluation tooling.\nDocker, AWS, RunPod and comparable cloud infrastructure.\nSounds like it's for you? Send us your favorite way to drink coffee along with your CV or LinkedIn, and we'll get back to you soon.\nIf it's a match, we'll get to know each other over a number of online interviews, followed by an onsite day where we go in depth.\nWe are looking forward to hearing from you!","description_format":"text","description_chars":3818,"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","Hybrid work"],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-04T20:17:24Z"}],"visa":[],"liveness":{"score":17,"band":"cold","label":"Long shot","p_open":1,"p_active":0.278,"p_room":0.6,"age_days":67,"expected_fill_days":70,"reasons":["conf:4","win:late","crowd:"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/kausable-ml-product-engineer","json_url":"https://alion.io/job/kausable-ml-product-engineer.json","meta":{"generated_at":"2026-10-11T23:06:52Z","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":13638,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-12T00:00:00Z"}},"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":2176568},"rest":"https://alion.io/mcp/rest/get_company?id=2176568"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkausable-ml-product-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%2Fkausable-ml-product-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%2Fkausable-ml-product-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/kausable-ml-product-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkausable-ml-product-engineer"}]}