{"id":58880,"url":"https://alion.io/job/overstory-staff-machine-learning-engineer-wildfire","title":"Staff Machine Learning Engineer - Wildfire","company":{"id":19726,"name":"Overstory","domain":"overstory.com","url":"https://alion.io/company/overstory","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"C","score":64,"open_postings":10,"ghost_share":0.6,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":{"label":"EST","utc_offset_min":-5,"utc_offset_max":-5},"hiring_geo_confidence":"inferred","locations":["United States"],"countries":["US"],"hiring_countries":["US","FR","GB","CA","IE","NL","SE","EE","PT"],"hiring_countries_total":9,"salary":null,"salary_estimate":{"min_usd":172000,"max_usd":318000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":157},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"GCP","optional":false},{"name":"LightGBM","optional":false},{"name":"Machine Learning","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vertex AI","optional":false},{"name":"XGBoost","optional":false},{"name":"GDPR","optional":true},{"name":"Interpretability","optional":true}],"status":"live","first_seen_at":"2025-10-29T16:37:42Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-10-17T19:29:40Z","board_verified":true,"closed_at":null,"days_open":353,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":352},"description":"The climate crisis is the defining challenge of our time-but it’s also the greatest opportunity for innovation, and a challenge we’re proud to take on. At Overstory, we’re harnessing cutting-edge technology to enable a resilient electrical grid that keeps communities thriving as our world changes.\nThe grid is the backbone of life as we know it. It powers hospitals, keeps food fresh, and ensures communities stay connected. But extreme weather, aging infrastructure, and growing wildfire risks are putting this critical system under pressure. All of this combined makes the electric utility industry the greatest opportunity for tackling climate change. \nOne of the leading causes of catastrophic wildfires and power outages? Trees and brush coming into contact with power lines. \nThat’s where we help. At Overstory, we use AI and advanced satellite imagery to pinpoint and prioritize vegetation risks before they materialize. By giving utilities critical analysis on those risks, we’re helping prevent outages, reduce wildfire risks, and accelerate the transition to a safer, more resilient grid.\nOur team spans the Americas and Europe, and we work with utility partners across the Americas and beyond. We’re outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers. What unites us is a passion for solving complex problems, a commitment to climate action, and the belief that technology should be a force for good.\nJoin us to help us build a more resilient world together. \nRole & Team\nAs a Staff Machine Learning Engineer at Overstory, you will lead the development and scaling of our Wildfire Fuel Detection Model. This core engine powers how we understand vegetation structure, fuel loads, and wildfire risk from satellite and environmental data. You’ll help shape the next generation of Overstory’s modeling capabilities by combining cutting-edge ML techniques, large-scale geospatial data, and real-world domain expertise.\nReporting to our VP of Product Engineering, you’ll work closely with data scientists, ML engineers, and product teams to ensure our wildfire models are accurate, robust, and production-ready - balancing scientific rigor with practical engineering excellence. As a senior technical leader, you’ll mentor other engineers, drive architectural decisions, and define standards for modeling, experimentation, and deployment across Overstory.\nTime zone requirement: Eastern North America (NST, AST, EST)\nWhat You’ll Do\nIn collaboration with data, ML, and science colleagues, you will:\nArchitect and build advanced ML models to map and predict vegetation and fuel conditions across diverse geographies.\nDesign and maintain robust data and feature pipelines for large-scale geospatial and temporal data.\nPartner with wildfire science and product teams to define modeling objectives and evaluation metrics tied to real-world impact.\nBuild reproducible experimentation frameworks and model evaluation workflows.\nScale models from research to production with a focus on performance, reliability, and explainability.\nLead the evolution of ML systems, tooling, and processes - ensuring that our wildfire fuelscape models remain state-of-the-art and maintainable.\nCollaborate with MLOps peers to streamline training, inference, and monitoring in production environments.\nSkills & Experience\nExperience thriving at the intersection of machine learning, geospatial data, and environmental science; deeply motivated by the opportunity to reduce wildfire risk through data-driven insights\n10+ years of experience designing and building production-grade ML pipelines and systems \nYou have a background in wildfire science, forestry, or remote sensing\nStrong background in deep learning, computer vision, or remote sensing\nSkilled in designing end-to-end ML systems - from data ingestion and preprocessing to deployment and monitoring\nHands-on experience with frameworks like PyTorch, TensorFlow, XGBoost, or LightGBM, and data tools like Dask, Spark, or GeoPandas\nFamiliarity with GCP and Vertex AI, or similar cloud-based ML platforms\nStrong communication skills and ability to collaborate across technical and scientific domains\nComfortable leading architectural discussions and mentoring other engineers\nNice To Have\nBackground in wildfire science, forestry, or remote sensing\nExperience integrating physics-based models with ML or working with active learning and uncertainty quantification\nExperience in model interpretability and data provenance for environmental ML systems\nExperience with deep learning models for weather or climate data\nExperience in remote-first or globally distributed teams\nNote: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.\nWhat We Offer\nCompetitive, location-specific compensation and benefits \nFlexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around\nHome office stipend, coworking and ongoing education budgets \nA company culture that genuinely embodies each of our core values\nTo be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis\nAbout Our Team\nWe are a fast-growing team of about 100 people from all over the world. Fifteen nationalities are represented and at last count we speak fourteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Finnish, Estonian, and Afrikaans.\nWe work remotely from eleven countries and are looking for candidates that are living and working in one of them: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Switzerland, Denmark and Canada. We gather once a year in-person for our unforgettable team gathering event. We also offer the option to occasionally meet up for in-person collaboration. \nDiversity & Inclusion\nThe climate crisis is a human crisis that requires diverse perspectives to solve. \nWe place enormous value on diversity and believe that the best ideas emerge when people with different backgrounds and experience work together. We remain committed to scaling a team that reflects the communities we serve, and strive to uphold equitable and inclusive practices across every aspect of our business. We are responsible for creating and maintaining a culture where everyone - regardless of background - has a voice in building a sustainable future.\nOur Values\nTackling the climate crisis is our greatest mission.\nWe act with urgency.\nOur curiosity fuels our growth.\nWe recognize that change is constant, and we find joy and power in exploration.\nWe’re rooted in diversity.\nJust as ecosystems need biodiversity to thrive, our resiliency comes from our differences.\nWe care for each other.\nWe love the power of machines but we nurture each other as humans.\nTrust is fundamental.\nWe assume the best in everyone, and we share ideas openly so that we have a positive impact.\n_________________________________\nUse of AI in Our Hiring Process\nWe sometimes use AI tools to support parts of our hiring process, such as helping us manage applications more efficiently or ensuring job descriptions are clear and inclusive. All hiring decisions are always made by people, not machines. Any data processed by AI is handled securely in line with GDPR and our Privacy Notice.","description_format":"text","description_chars":7480,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":true},{"language":"Lithuanian","level":"All levels","optional":true},{"language":"Finnish","level":"All levels","optional":true},{"language":"Estonian","level":"All levels","optional":true},{"language":"Dutch","level":"All levels","optional":true},{"language":"Bulgarian","level":"All levels","optional":true},{"language":"Afrikaans","level":"All levels","optional":true},{"language":"Russian","level":"All levels","optional":true},{"language":"Portuguese","level":"All levels","optional":true},{"language":"Italian","level":"All levels","optional":true},{"language":"French","level":"All levels","optional":true},{"language":"Spanish","level":"All levels","optional":true},{"language":"German","level":"All levels","optional":true}]},"benefits":["Home office"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"France","iso":"FR","kind":"country"},{"name":"United Kingdom","iso":"GB","kind":"country"},{"name":"Canada","iso":"CA","kind":"country"},{"name":"Ireland","iso":"IE","kind":"country"},{"name":"Netherlands","iso":"NL","kind":"country"},{"name":"Sweden","iso":"SE","kind":"country"},{"name":"Estonia","iso":"EE","kind":"country"},{"name":"Portugal","iso":"PT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","Power Grid","Computer Vision","Geospatial AI"],"lifecycle":[{"event":"open","at":"2025-10-29T16:37:42Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"Filed H-1B visas in the last two years","filings_12m":0,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":null,"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":0}],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.172,"p_room":0.28,"age_days":352,"expected_fill_days":44,"reasons":["conf:2","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/overstory-staff-machine-learning-engineer-wildfire","json_url":"https://alion.io/job/overstory-staff-machine-learning-engineer-wildfire.json","meta":{"generated_at":"2026-10-17T20:20:29Z","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":4096,"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":19726},"rest":"https://alion.io/mcp/rest/get_company?id=19726"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Foverstory-staff-machine-learning-engineer-wildfire"},{"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%2Foverstory-staff-machine-learning-engineer-wildfire"},{"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%2Foverstory-staff-machine-learning-engineer-wildfire"},{"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/overstory-staff-machine-learning-engineer-wildfire\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Foverstory-staff-machine-learning-engineer-wildfire"}]}