{"id":815087,"url":"https://alion.io/job/onescreen-founding-machine-learning-engineer","title":"Founding Machine Learning Engineer","company":{"id":680698,"name":"One Screen","domain":"onescreen.ai","url":"https://alion.io/company/onescreen-2","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":133000,"max_usd":292000,"period":"year","method":"role_country_seniority_unknown","sample_n":4027},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"FastAPI","optional":false},{"name":"Google BigQuery","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"SQL","optional":false},{"name":"SQLAlchemy","optional":false},{"name":"A/B Testing","optional":true},{"name":"dbt","optional":true},{"name":"FAISS","optional":true},{"name":"pgvector","optional":true},{"name":"PostGIS","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-06-15T15:01:57Z","employer_posted_date":"2026-06-15","last_verified_at":"2026-10-17T15:56:35Z","board_verified":true,"closed_at":null,"days_open":124,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":123},"description":"About Onescreen\nOnescreen is the modern platform for out-of-home advertising - making it easier for brands and agencies to plan, buy, and measure OOH campaigns across thousands of vendors and formats. We move fast, operate lean, and hold ourselves to a high standard on every campaign we run.\n About the role\nYou'll be the founding ML engineer who owns our matching algorithms from exploration through production and the data platform that feeds them. You'll design and ship the models that rank OOH inventory against advertiser personas, markets, and dayparts. You'll own our data warehouse shape and the pipelines that fill it. You'll publish the ranking and matching APIs that downstream products, agents, and automation surfaces consume.\nWhat you'll do\nDesign and ship matching and ranking models for OOH inventory: candidate generation, re-ranking, geospatial-aware scoring.\nOwn the data warehouse layer end to end: staging, marts, feature pipelines, freshness, lineage.\nStand up offline and online evaluation infrastructure - measure the gap between them, don't assume it.\nPublish ranking and matching APIs for product surfaces, with latency and quality SLOs.\nInstrument model monitoring: drift detection, prediction distribution, feature freshness, retraining triggers.\nQualifications\nThe hard requirement: you have owned a production ranking, matching, or recommendation system end-to-end. You chose the model, designed the features, made the evaluation methodology calls, and were on the hook when it drifted. We care about that ownership scope more than years on a résumé - title and compensation are scaled to your demonstrated expertise.\nBeyond that:\nStrong production Python (NumPy, Pandas, FastAPI, SQLAlchemy).\nStrong SQL and modern data warehouse experience (BigQuery preferred).\nReal ranking and matching modeling fluency - learning-to-rank, retrieval and re-rank patterns, not just classification.\nEvaluation methodology rigor: holdouts, leakage prevention, online vs. offline gap measurement.\nComfort owning the data pipeline as well as the model.\nBias toward shipping. Clear writer. Self-directed.\nNice to have\nGeospatial data experience (H3, PostGIS, GeoPandas)\nMobility or location data experience\nEmbedding-based retrieval (pgvector, FAISS, vector databases)\nBandits, contextual bandits, or online learning\nA/B testing infrastructure design\nCausal inference\ndbt\nAd-tech or OOH domain familiarity","description_format":"text","description_chars":2418,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Pro AV & Digital Signage"],"lifecycle":[{"event":"open","at":"2026-09-12T10:59:29Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.268,"p_room":0.28,"age_days":123,"expected_fill_days":61,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/onescreen-founding-machine-learning-engineer","json_url":"https://alion.io/job/onescreen-founding-machine-learning-engineer.json","meta":{"generated_at":"2026-10-17T16:09:45Z","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":22056,"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":680698},"rest":"https://alion.io/mcp/rest/get_company?id=680698"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fonescreen-founding-machine-learning-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%2Fonescreen-founding-machine-learning-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%2Fonescreen-founding-machine-learning-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/onescreen-founding-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fonescreen-founding-machine-learning-engineer"}]}