or apply directly on Sigma Computing's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Sigma Computing's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- Yes 78% of Sigma Computing's roles list one
- Ghost-job risk at Sigma Computing
- high 67 stale, 0 reposted of 68 open
- Hiring momentum
- 85 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Sigma Computing's own greenhouse board since 2026-08-03. Full hiring picture for Sigma Computing.
About this role
As a Staff AI/ML Engineer at Sigma, you will work on building the AI foundation for the company's platform, which allows users to interact with large datasets. Your responsibilities will include collaborating with product, design, and engineering teams to identify AI/ML opportunities, prototyping and deploying AI systems, and developing infrastructure to support both internal tools and customer-facing features.
- benefits
- 4/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Sigma Computing as an employer.
What you need
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
- 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
Nice to have
- 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
What you get
- Equity
- Generous health benefits
- Flexible time off policy
- Paid bonding time for all new parents
- Traditional and Roth 401k
- Commuter and FSA benefits
Worth weighing
- Base salary range is $270k - $305k, but compensation may vary based on qualifications and experience
- In-office work environment with 25% travel expectation
- The role involves working with AI in a rapidly evolving tech landscape, which may require continuous learning and adaptation
Summarised from Sigma Computing's posting. Read the full original.
Listed by Sigma Computing on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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