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.
Requirements
- Deep understanding of machine learning, including deep learning algorithms, model architectures and optimization
- Baseline understanding of building and deploying production-grade AI/ML systems
- Knowledge of the full ML lifecycle: data curation, training, deployment, monitoring
- Desire to bridge research and application—bringing new AI ideas from concept to impactful deployment
- You've built agents that can plan, reason, and use tools
- You’ve fine-tuned or trained foundation models (language or multimodal) for novel domains
- You know your way around cloud infrastructure (AWS, GCP, Azure)
Responsibilities
- Conduct original AI/ML research in search, recommendations, natural language processing, agentic workflows and more
- Prototype and productionize AI systems that feel intuitive but do a lot under the hood
- Tackle novel UX problems at the intersection of AI, analytics, and data apps
- Contribute to the development of scalable AI/ML infrastructure for experimentation, training, and evaluation of large-scale models
Other
- Current PhD student studying AI/ML at a U.S. accredited university
- We have an in-office work environment in all our offices in SF, NYC, and London
- Compensation may vary outside of the 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
- Sigma Computing is an equal opportunity employer
