Senior AI/ML Engineer
Sigma Computing3 months ago
Base Salary
$240k - $270k/yr
Responsibilities
- Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities.
- Prototype and productionize AI systems for recommendations, natural-language interfaces, agentic workflows, and related capabilities.
- Develop and scale AI/ML infrastructure for internal tooling and customer-facing features.
- Solve novel user-experience problems at the intersection of AI, business intelligence, and applications.
Requirements
- 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, including data curation, training, deployment, and monitoring.
- Track record of shipping complex systems such as recommendations, search, or machine translation.
- Experience adapting or training language or multimodal foundation models for novel domains.
- Experience building agents that can plan, reason, and use tools is a bonus.
- Familiarity with AWS, GCP, or Azure is a bonus.
- Experience in a fast-moving startup or high-growth environment is a bonus.
Benefits
- Equity and stock options are available.
- Generous health benefits are provided.
- Flexible time off policy.
- Paid bonding time for all new parents.
- Traditional and Roth 401(k).
- Commuter and FSA benefits.
- Lunch program.
- Dog-friendly office.
- In-office work environment in offices in San Francisco, New York City, London, and Sydney.
Tech Stack
Categories
About Sigma Computing
Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.