Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
AI/ML PhD Intern (Summer 2027)
New York, New York
Live, first seen by us 33 days ago- Pay
Pay periods conflict — pay source
Additional Job details The hourly rate range for this position is $80-$90 an hour 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.
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- New graduates
- For current students
Job title: AI/ML PhD Intern (Summer 2027)
What you’ll work on
Full postingAt Sigma, we’re not just adding AI—we’re building the future of how people work with data.
Conduct original AI/ML research in search, recommendations, NLP and agentic workflows
Prototype and productionize AI systems
Tackle novel UX problems at the intersection of AI, analytics, and data apps
Contribute to scalable AI/ML infrastructure for experimentation, training and evaluation
From the employer’s posting
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. You can learn more about our vision for AI/ML at Sigma in our blog post.
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.
What you’ll bring
All qualificationsCore experience
- Deep understanding of machine learning, including deep learning algorithms, model architectures and optimization
- Knowledge of the full ML lifecycle: data curation, training, deployment, monitoring
Qualification wording
Deep understanding of machine learning, including deep learning algorithms, model architectures and optimization
Knowledge of the full ML lifecycle: data curation, training, deployment, monitoring
Education & alternatives
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. You can learn more about our vision for AI/ML at Sigma in our blog post. That’s where you come in. As an AI/ML PhD Intern, you’ll join a growing 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. We're looking for PhD students that are passionate about the intersection of AI, business, and data. Curious what the experience is like? Read about what our Summer 2026 AI/ML PhD interns worked on here. What You’ll Do
What You Bring - Current PhD student studying AI/ML at a U.S. accredited university - Deep understanding of machine learning, including deep learning algorithms, model architectures and optimization
About Sigma Computing
Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 7, 202633 days ago
- Recorded sightings
- 28
- Last seen by us
- Nov 9, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 33
Similar jobs usually come down between day 7 and day 72.
Well past Sigma Computing’s usual: its jobs come down by about day 14.
From 4,777 similar postings that came down, and 5 of Sigma Computing’s. Coming down is not always a hire.
Sigma Computing is hiring
8 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
- 38% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- Databricks
- GCP
- Sigma
Where the posting names them
About us: Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase. Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.
- You’ve fine-tuned or trained foundation models (language or multimodal) for novel domains - You know your way around cloud infrastructure (AWS, GCP, Azure) - You’ve worked in a fast-moving startup or high-growth environment
Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase. Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year. Come join us!
The hourly rate range for this position is $80-$90 an hour 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. Note: We have an in-office work environment in all our offices in SF, NYC, and London.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has Sigma Computing posted this job before?
Yes. We’ve followed one other AI/ML PhD Intern (Summer 2027) job there since October 2026. It is still up.
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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. You can learn more about our vision for AI/ML at Sigma in our blog post.
That’s where you come in. As an AI/ML PhD Intern, you’ll join a growing 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. We're looking for PhD students that are passionate about the intersection of AI, business, and data. Curious what the experience is like? Read about what our Summer 2026 AI/ML PhD interns worked on here.
What You’ll Do
- 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.
What You Bring
- Current PhD student studying AI/ML at a U.S. accredited university
- 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.
Bonus Points (or skills you’ll build here)
- 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)
- You’ve worked in a fast-moving startup or high-growth environment
Additional Job details
The hourly rate range for this position is $80-$90 an hour
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.
Note: We have an in-office work environment in all our offices in SF, NYC, and London.
About us:
Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.
Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.
Come join us!
Benefits For Our Full-Time Employees:
- 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 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, veteran, or any other protected 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, London and Sydney. All roles have a 25% travel expectation unless explicitly stated otherwise.
Our Privacy Practices
When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia).
Sigma’s use of AI
This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Additional Job details The hourly rate range for this position is $80-$90 an hour 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.
- Location & working pattern
New York, New York
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- Dog friendly office Sigma 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, veteran, or any other protected 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, London and Sydney. All roles have a 25% travel expectation unless explicitly stated otherwise.