{"id":1605119,"url":"https://alion.io/job/intuit-staff-machine-learning-engineer-2","title":"Staff Machine Learning Engineer","company":{"id":16628,"name":"Intuit","domain":"intuit.com","url":"https://alion.io/company/intuit","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Radancy","truth_index":{"grade":"B","score":77,"open_postings":48,"ghost_share":0,"stale_share":0.938,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":230000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Fine-tuning","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-08-24T00:00:00Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-11-07T12:18:05Z","board_verified":true,"closed_at":null,"days_open":75,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":75},"description":"Intuit is looking for a Staff Software Engineer to build AI/ML systems at the core of our products. You'll design and own shared AI capabilities - model training pipelines, evaluation frameworks, and ML tooling - that power next-generation, AI-driven experiences across personal finance, accounting, and tax. You'll work closely with AI scientists, product, and design, moving from proof-of-concept to production through rapid experimentation and iteration. You'll help build the AI capabilities that every product team depends on - long-term memory systems that let AI experiences retain context and personalize over time, and evaluation frameworks that make model quality and regressions measurable at scale. Besides these core AI capabilities, you'll get to work at the frontier of what AI-native products can be: building agent builder frameworks, embedding AI directly into product experiences, and pushing on cutting-edge agentic AI development.\nResponsibilities\nDesign and own shared AI/ML components, frameworks, and pipelines - spanning model training, evaluation, and fine-tuning - used across multiple product teams\n\nApply ML fundamentals and LLM techniques (prompting, fine-tuning, RAG) to solve concrete customer problems, then evaluate model performance in production\n\nBuild long-term memory and context-retention systems that let AI experiences personalize and stay coherent over time, and evaluation frameworks that make model quality measurable at scale\n\nPrototype and build agent builder frameworks and embedded AI experiences, taking cutting-edge agentic AI concepts from early exploration to product-ready implementations\n\nDrive rapid prototyping and experimentation to move from proof-of-concept to high-accuracy, performant systems\n\nSet best practices for ML tooling and developer workflows; mentor other engineers on AI craft\n\nStay ahead of emerging GenAI and ML developments and identify where they improve existing products\n\nCollaborate closely with AI scientists, product, and design to navigate ambiguity and ship next-generation AI-driven experiences\n\nArchitect and build full-stack, AI-native applications end-to-end, from backend services to production LLM integrations\n\nSet best practices for application architecture; mentor other engineers on software engineering craft\n\nQualifications\nBS, MS, or PhD in Computer Science or equivalent practical experience\n\n8+ years building production AI/ML systems; prior experience leading an engineering effort a plus\n\nStrong CS fundamentals - data structures, algorithms, system design - plus solid ML fundamentals (classification, regression, clustering, neural networks)\n\nProficiency in Python and standard ML frameworks (PyTorch, TensorFlow, Pandas/NumPy)\n\nPractical experience with LLMs: prompt engineering, fine-tuning, and frameworks like LangChain\n\nExperience building or operating agentic systems, agent frameworks, or long-term memory/context architectures for AI applications\n\nFamiliarity designing evaluation frameworks or offline/online eval pipelines for measuring model and agent quality\n\nCloud platform experience for ML workloads (AWS, including SageMaker)\n\nTrack record of launching AI integrations in production and evaluating their real-world impact\n\nStrong cross-functional collaboration skills, partnering effectively with data scientists, product managers, and engineers across global teams\n\nProficiency in one or more full-stack languages (JavaScript, Java) and experience designing scalable services - microservices, relational/NoSQL data stores, Kubernetes\n\nIntuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.\nThe expected base pay range for this position is $230,000- $250,000.\n The expected base pay range for this position is:Mountain View $202,500 - $274,000","description_format":"text","description_chars":4240,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Personal Finance Apps & Education","Accounting & Tax Software","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-10-01T19:46:43Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 719 · green card filings: 199","filings_12m":719,"filings_prev_12m":718,"green_card_filings_12m":199,"median_offered_wage_usd":177081,"route":null,"cap_exempt":false,"checked_at":"2026-11-07T07:57:00+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":306}],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":1,"p_active":0.516,"p_room":0.36,"age_days":75,"expected_fill_days":42,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-07T05:47:08Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":false},"html_url":"https://alion.io/job/intuit-staff-machine-learning-engineer-2","json_url":"https://alion.io/job/intuit-staff-machine-learning-engineer-2.json","meta":{"generated_at":"2026-11-07T13:11:00Z","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":15594,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"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":16628},"rest":"https://alion.io/mcp/rest/get_company?id=16628"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fintuit-staff-machine-learning-engineer-2"},{"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%2Fintuit-staff-machine-learning-engineer-2"},{"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%2Fintuit-staff-machine-learning-engineer-2"},{"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/intuit-staff-machine-learning-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fintuit-staff-machine-learning-engineer-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1605119}},{"tool":"search_jobs","arguments":{"company":"intuit.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1605119},"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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