Sigma is transforming how businesses run by delivering a high performance platform on the modern data architecture. This presents a unique and exciting opportunity for AI/ML to reshape how users explore and interact with their data.
Requirements
- 5+ years of experience building production-grade AI/ML models or systems
- Strong foundation in computer science, machine learning and deep learning
- Experience with the ML lifecycle from data curation to model deployment and monitoring
- Experience building scalable ML systems such as recommendation engines, search or machine translation
- Experience adapting or training foundation models (language or multimodal) for novel domains
- Experience building agents that can reason and leverage external tools
- Deep experience with cloud technologies such as AWS, GCP or Azure
Responsibilities
- Prototype novel ideas and implement state-of-the-art AI/ML systems
- Build scalable AI/ML infrastructure and workflows for internal teams and Sigma users
- Create novel natural language and agentic interfaces that empower Sigma users to explore and interact with their data
- Collaborate with cross-functional teams to identify high-impact AI/ML opportunities
Other
- Prior experience working at high growth company
- The base salary range for this position is $170k - $240k 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.
- 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
- Sigma Computing is an equal opportunity employer.
- We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status.
- We look forward to learning how your experience can enable all of us to grow.
- Note: We have an in-office work environment in all our offices in SF, NYC, and London.
