AI/ML PhD Intern (Summer 2027)

About the Role

Sigma Computing is seeking an AI/ML PhD Intern for Summer 2027 in San Francisco. Join a growing team building the AI foundation for Sigma's data exploration, analytics, applications, and workflows. The role bridges AI research, business, and data, with work intended to support thousands of enterprises using Sigma.

Responsibilities

• Conduct original AI/ML research in search, recommendations, natural language processing, agentic workflows, and related areas.
• Prototype and productionize intuitive AI systems.
• Address novel UX problems at the intersection of AI, analytics, and data apps.
• Help develop scalable AI/ML infrastructure for experimentation, training, and evaluation of large-scale models.

Qualifications

• Be a current PhD student studying AI/ML at a U.S. accredited university.
• Have a deep understanding of machine learning, including deep learning algorithms, model architectures, and optimization.
• Have a baseline understanding of building and deploying production-grade AI/ML systems.
• Understand the full ML lifecycle, including data curation, training, deployment, and monitoring.
• Be motivated to bridge research and application, bringing new AI ideas from concept to impactful deployment.

Bonus Experience or Skills to Develop

• Building agents that plan, reason, and use tools.
• Fine-tuning or training language or multimodal foundation models for novel domains.
• Working with cloud infrastructure such as AWS, GCP, or Azure.
• Working in a fast-moving startup or high-growth environment.

Compensation and Work Environment

• Hourly pay range: $80–$90. Compensation may vary outside this range based on qualifications, skills, competencies, and experience.
• This is an in-office role.
• All roles have a 25% travel expectation unless explicitly stated otherwise.

Benefits

The posting lists the following benefits specifically for full-time employees: equity, health benefits, flexible time off, paid bonding time for new parents, traditional and Roth 401(k), commuter and FSA benefits, a lunch program, and a dog-friendly office. Internship eligibility is not stated.

Application and Hiring Information

• Sigma processes applicant personal data to evaluate candidacy and support recruitment and hiring. Data may be transferred internationally, including to the USA, UK, Canada, and Australia; applicants should review Sigma's Candidate Privacy Notice.
• AI tools assist with candidate screening and assessment and complement rather than replace human decision-making.