Jobs / United States / Sigma Computing INC

Senior AI/ML Engineer

Sigma Computing INC · 🇺🇸 New York City, NY

Sponsorship verdict

Sponsorship possible

One solid signal, not two — worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 30 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 12 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
  • What Sigma Computing INC paid sponsored hires in similar roles6 certified filings for “Technical Support Engineer” (Software Quality Assurance Analysts and Testers) in NY: $100k–$100k, median $100k. Most were filed at wage level I (100%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
  • Confirmed live todayWhen a source last listed this job as open.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.

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Sponsor Radar — Sigma Computing INC

30 H-1B filings certified since Oct 2025

The US Department of Labor certified 30 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 12 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).

Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Sigma Computing INC →

About the role

About the Role At 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. That’s where you come in. As an AI/ML Engineer, you’ll join a growing 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. What You’ll Do • Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities • Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more • Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features • Tackle novel UX problems at the intersection of AI, BI, and apps What You Bring • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required) • 10+ years of experience building and deploying production-grade AI/ML systems • Deep knowledge of machine learning, deep learning, and applied AI • Experience across the full ML lifecycle: data curation, training, deployment, monitoring • A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex • Experience adapting or training foundation models (language or multimodal) for novel domains Bonus Points (or skills you’ll build here) • You've built agents that can plan, reason, and use tools • You know your way around cloud infrastructure (AWS, GCP, Azure) • You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this position is $240k - $270k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About us: Sigma 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. Sigma 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. Come join us! Benefits For Our Full-Time Employees: • Equity • Generous health benefits • Flexible time off policy. Take the time off you need! • Paid bonding time for all new parents • Traditional and Roth 401k • Commuter and FSA benefits • Lu

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Source: Greenhouse (employer board) First seen: 2026-10-15 Last confirmed: 2026-10-15 How our data works → Report this job

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