{"id":779844,"url":"https://alion.io/job/stratum-forward-deployed-machine-learning-engineer","title":"Forward Deployed Machine Learning Engineer","company":{"id":720799,"name":"Stratum","domain":"stratum.gs","url":"https://alion.io/company/stratum-5","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"D","score":40,"open_postings":11,"ghost_share":1,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":51000,"max_usd":128000,"period":"year","method":"role_seniority_country_cell","sample_n":17},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Transformers","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"DynamoDB","optional":true},{"name":"FastAPI","optional":true},{"name":"OpenAI","optional":true},{"name":"Pydantic","optional":true}],"status":"live","first_seen_at":"2025-05-11T03:50:02Z","employer_posted_date":"2025-05-11","last_verified_at":"2026-10-29T08:43:10Z","board_verified":true,"closed_at":null,"days_open":536,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":536},"description":"We are looking for a Forward Deployed ML Engineer, with an interest in solving difficult real-world problems to join our Technical Services team.\nThis role will require extensive working with custom architectures on PyTorch. Previous experience working with PyTorch on complex Convolutional Neural Network, Graph Neural Network, and/or Transformers is expected. This role is equivalent to the Delta team Forward Deployed Engineer role at Palantir that we would recommend you read up on.\nThis is a remote-first position, with a preference for applicants based in Canada.\nTechnical Services Team Responsibilities\nConducting foundational research to design and implement more accurate AI resource modeling techniques that we can use for many different mining operations.\n\nApplying and refining existing architecture to train resource models for a specific mine.\n\nCommunicating the quality, metrics, performance, and methodology of our models to non-ML technical external stakeholders.\n\nIdentifying new opportunities to improve mining operations (such as modelling other parameters) for a given client and getting their support in doing so.\n\nTracking model performance of deployed models over time and identifying ways to make existing models better.\n\nRole Responsibilities\nAdapt Stratum’s deep learning models to a given mine.\n\nDevelop and maintain high-quality machine learning code using Python.\n\nUnlock ways to create better resource and metallurgical models with deep learning for one specific mine, or sometimes mines in general\n\n60% of your time is dedicated to applying ML to one specific mine (applied ML), 40% is dedicated to applying ML to mines in general (foundational ML).\n\nTake part in at least 2 mine visits a year and engage with our clients on the ground\n\nOver time, grow into a senior engineer who can identify additional ways our technology can be leveraged with our existing clientele\n\nThrive in ambiguity with complex, large datasets and evolving client needs - able to shape these into clear, actionable and structured actions\nRole Requirements\n\n2+ years of industry machine learning experience.\n\nExcellent proficiency in implementation of custom neural network architectures in Python (Pytorch).\n\nThe ideal candidate will have hands-on experience with various neural network types\n\nStrong foundational knowledge of deep learning with an emphasis on transformers, convolutional neural networks, and/or graph neural networks.\n\nAdept at working with a high degree of autonomy and initiative to solve complex problems.\n\nStrong technical communication skills (oral + visual).\nYou will be responsible for conveying to other non-machine learning engineers in the mining industry why our models are good. You will work with geologists and business development roles to tell the story.\n\nNice to Have\nAbility to speak another language with high proficiency.\n\nOur Tech Stack\nAI Stack: Python & Pytorch\n\nBackend: Python (FastAPI) + Pydantic + DynamoDB\n\nInfrastructure: AWS, Azure\n\nAbout Stratum\nWe're Stratum, a mining software company with machine learning models as our core product. Our 3D maps predict how gold, silver, copper, etc. are distributed (and how much!) using only small amounts of data, unconventional data processing, and proprietary ML protocols. Our work directly affects how much money a mine is going to make next week/month/year while reducing waste/cost. We're supported by Founders Fund, Aramco, Builders VC, Y Combinator, and Ilya Sutskever, former Chief Scientist at OpenAI, who have recognized the potential of our industry-disrupting technology.\nOur long-term vision is to build a massive AI engine capable of making every decision in a mining operation, down to moving individual rocks. If you’re an exceptional engineer interested to helping make this vision a reality we look forward to reviewing your application and working together.","description_format":"text","description_chars":3874,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Industrial AI"],"lifecycle":[{"event":"open","at":"2026-09-12T00:26:32Z"}],"visa":[],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.137,"p_room":0.28,"age_days":536,"expected_fill_days":7,"reasons":["conf:1","stale_co","ghost","win:tail","crowd:junior"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/stratum-forward-deployed-machine-learning-engineer","json_url":"https://alion.io/job/stratum-forward-deployed-machine-learning-engineer.json","meta":{"generated_at":"2026-10-29T13:13:13Z","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":19828,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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":720799},"rest":"https://alion.io/mcp/rest/get_company?id=720799"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fstratum-forward-deployed-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%2Fstratum-forward-deployed-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%2Fstratum-forward-deployed-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/stratum-forward-deployed-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fstratum-forward-deployed-machine-learning-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":779844}},{"tool":"search_jobs","arguments":{"company":"stratum.gs","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":779844},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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