{"id":2526728,"url":"https://alion.io/job/the-job-sauce-sr-aiml-engineer-sigma","title":"Sr. AI/ML Engineer - Sigma","company":{"id":5699,"name":"The Job Sauce","domain":"thejobsauce.com","url":"https://alion.io/company/the-job-sauce","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-04T06:34:25Z"}},"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":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":240000,"max":270000,"currency":"USD","period":"year","gross":null,"usd_annual":270000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"ServiceNow","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true}],"status":"live","first_seen_at":"2026-10-02T17:53:35Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-11-05T03:53:22Z","board_verified":true,"closed_at":null,"days_open":33,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":33},"description":"About Sigma:\nSigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.\nSigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.\nAbout the Role\nAt Sigma, we’re not just adding AI-we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions-fast.\nThat’s where you come in. As an AI/ML Engineer, you’ll joining the AI Labs team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma.\nWhat You’ll Do\nPartner with product, design, and engineering teams to identify high-impact AI/ML opportunities\n\nPrototype and productionize AI systems that feel intuitive but do a lot under the hood-recommendations, natural language interfaces, agentic workflows, and more\n\nDevelop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features\n\nTackle novel UX problems at the intersection of AI, BI, and apps\n\nWhat You Bring\nBachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required), Master's and Doctorate's may account for some professional experience\n\n5+ years of experience building and deploying production-grade AI/ML systems\n\nDeep knowledge of machine learning, deep learning, and applied AI\n\nExperience across the full ML lifecycle: data curation, training, deployment, monitoring\n\nA track record of building things that ship-whether it’s recommendations, search, machine translation, or something equally complex\n\nExperience adapting or training foundation models (language or multimodal) for novel domains\n\nBonus Points (or skills you’ll build here)\nYou've built agents that can plan, reason, and use tools\n\nYou know your way around cloud infrastructure (AWS, GCP, Azure)\n\nYou’ve worked in a fast-moving startup or high-growth environment\n\nWhat We Offer:\nBase Salary: $240,000 - $270,000\nBenefits:\nEquity\n\nGenerous health benefits\n\nFlexible time off policy. 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