{"id":23441,"url":"https://alion.io/job/grid-staff-applied-scientist","title":"Senior Machine Learning Engineer","company":{"id":3782492,"name":"Hatfield, Inc.","domain":"getgrid.app","url":"https://alion.io/company/getgrid","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"C","score":67,"open_postings":6,"ghost_share":0.167,"stale_share":0.833,"repost_share":0.167,"time_to_fill_p50_days":null,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":220000,"currency":"USD","period":"year","gross":null,"usd_annual":220000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false},{"name":"GCP","optional":true},{"name":"Go","optional":true},{"name":"Google BigQuery","optional":true},{"name":"MySQL","optional":true}],"status":"closed","first_seen_at":"2023-12-06T06:23:32Z","employer_posted_date":"2023-12-06","last_verified_at":"2026-10-30T22:03:43Z","board_verified":false,"closed_at":"2026-10-30T22:03:43Z","days_open":1059,"trust":{"level":"ghost","repost_count":2,"flags":["stale","repost"],"days_open":1057},"description":"About us\nToday’s financial system is built to favor those with money. Grid’s mission is to level that playing field by building financial products that help users better manage their financial future. The Grid app lets users access cash, build credit, spend money, optimize their taxes, and lots, lots more.\nGrid is a fast-growing team that’s deeply passionate about making a difference in the lives of millions. We’re solving huge problems and believe that every team member has a big role to play. Come join our growing team in our brand new Seattle office!\nThe role\nWe’re adding Senior Machine Learning Engineer to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a difference with data. With access to multiple robust datasets and clear research objectives, you'll have a significant impact on Grid's progress as a business-as well as our users' happiness and success.\nProjects will include fraud detection, prevention and mitigation in novel arenas, such as risk underwriting for various lending/advance programs; predictive analytics to drive our payout and repayments systems; and more.\nThe team\nWe're focused on serving our users and building a robust product and business above all else. To this end, Grid's team members experience high levels autonomy and ownership, and as a company we value curiosity, learning and growth.\nAs a Senior Machine Learning Engineer, you'll have an opportunity not only to identify key leverage points for our data products, but also to set the standard for Grid's statistical inference and machine learning practice.\nThe tech stack\nOur backend tech stack is based on Python, GCP, Go, protobufs, BigQuery and MySQL. We have built our platform from the ground up to optimize for clean data sources, and we have made numerous investments into data warehousing, streaming analytics infrastructure and offline data cleanliness. As a result, we think Grid is positioned for efficient and powerful applied science.\nWhat you'll do\nResearch & Analysis: Perform data research and analysis using Grid's proprietary dataset as well as other relevant sources\nModel Development: Develop and validate models that enable strategically relevant business objectives, such as enabling growth, mitigating fraud, controlling risk, etc.\nDeployment & Iteration: Iterate on new and existing models based on feedback from team and real-world performance\nProductionization: Collaborate with data engineers, product managers to help translate your work into production-grade, high scaled data products\nPresent Findings: Present your findings and communicate with members of the team with varying levels of technical depth\nFoster DS @ Grid: Help build out our Applied Science and Machine Learning as a team and practice at Grid\nWhat we're looking for:\nApplied Science Expertise: Proven experience in Machine Learning and/or Applied Science, including a strong background in statistical inference, machine learning. This is a requirement, a bachelors or master's degree in Statistics, Mathematics, Physics, or Computer Science with a focus on machine learning is required. We are currently not accepting applicants with bachelor or master's degrees in Business Analytics, Information Systems, or Data Science.\nDeep Expertise in Applied Science & Machine Learning: Proven experience in applied machine learning, including a deep understanding of statistical inference and predictive modeling. Demonstrated practical experience with deep learning techniques, particularly transformer-based models.\nResearch to Implementation Proficiency: A strong track record of reading, understanding, and implementing research papers in machine learning or related fields.\nRobust Technical Skills: Hands-on experience with Python (with libraries like PyTorch/TensorFlow) and SQL is essential.\nAutonomy and Initiative: Ability to work independently and take ownership of projects, showcasing a proactive approach to identifying key leverage points for data products.\nCuriosity and Optimism: People who are constantly asking why the world around them works the way it does, and who have the will to change it.\n Technical Skills: Proficiency in the modern machine learning techniques, such as Model Evaluation and Validation, Deep Learning and Time Series Analysis, Logistic Regression, Naive Bayes, Tree based Models (i.e., Random Forest).\nSelf Starter: Confidence to prioritize work and delivery demonstrable results on a tight cadence.\n Domain Knowledge: Demonstrated experience or understanding of the financial industry, especially in the context of building and scaling FinTech products.","description_format":"text","description_chars":4672,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2023-12-06T06:23:32Z"},{"event":"close","at":"2026-08-13T11:19:34Z"},{"event":"reopen","at":"2026-09-05T13:20:28Z"},{"event":"reopen","at":"2026-10-15T12:12:28Z"},{"event":"close","at":"2026-10-30T22:03:43Z"}],"visa":[],"liveness":null,"pay":{"stated_usd_annual":220000,"is_top_pay":true},"html_url":"https://alion.io/job/grid-staff-applied-scientist","json_url":"https://alion.io/job/grid-staff-applied-scientist.json","meta":{"generated_at":"2026-11-03T07:59:57Z","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":11418,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"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":3782492},"rest":"https://alion.io/mcp/rest/get_company?id=3782492"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgrid-staff-applied-scientist"},{"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%2Fgrid-staff-applied-scientist"},{"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%2Fgrid-staff-applied-scientist"},{"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/grid-staff-applied-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgrid-staff-applied-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":23441}},{"tool":"search_jobs","arguments":{"company":"getgrid.app","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":23441},"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. Docs: https://alion.io/developers"}}