Sr. AI/ML Engineer - Sigma

Baselayer

• $240K — $270K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; advanced degrees may substitute for experience
  • 5+ years of experience in 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
  • Proven track record of shipping complex AI solutions like recommendations or search
  • Experience adapting or training foundation models for novel domains

Responsibilities

  • Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities
  • Prototype and productionize intuitive AI systems with complex functionalities
  • Develop and scale AI/ML infrastructure for internal and customer-facing features
  • Address novel UX challenges at the intersection of AI, BI, and applications

Benefits

  • Equity
  • Generous health benefits
  • Flexible time off policy
  • Paid bonding time for all new parents
  • Traditional and Roth 401k
  • Commuter and FSA benefits
  • Lunch Program
  • Dog friendly office
Full Job Description
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 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.

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), Master's and Doctorate's may account for some professional experience
  • 5+ 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
What We Offer:

Base Salary: $240,000 - $270,000

Benefits:
  • 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
  • Lunch Program
  • Dog friendly office

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