Software Engineer Intern, Snowflake
AI/ML - Spring 2026
$42.00 - $60.00 USD per hour
3-5 days a week in office (Menlo Park, CA)
AI Data Cloud for data sharing and app building
Job no longer available
AI Data Cloud for data sharing and app building
1001+ employees
Job no longer available
$42.00 - $60.00 USD per hour
3-5 days a week in office (Menlo Park, CA)
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- Must be actively enrolled in an accredited college/university program during the time of the internship
- Desired class level: Masters, or PhD
- Desired majors: Computer Science, Computer Engineering, Electrical Engineering, Physics, Math, or related field
- Recommended coursework: artificial intelligence, machine learning, deep learning,federated learning, efficient LLMs, information retrieval, predictive & generative modeling, natural language processing, differential privacy, cloud computing, distributed & operating systems
- Research or publications in AI, ML, NLP, or CV or major contributions to open source
- Eligible start date options: January 5, January 20
- Eligible end date options: March 27, April 10, April 24
- Duration: 12-16 weeks recommended, more than 16 weeks also encouraged (12 month maximum)
- Excellent programming skills in python, Golang, and Java
- Preferred knowledge of Pytorch or CUDA
- Experience with working as a part of a team
- Dedication and passion for technology
What the job involves
- We’re looking for dedicated students who share our passion for groundbreaking technology and want to create a lasting future for Snowflake and you
- Paid, full-time internships in the heart of the software industry
- Post-internship career opportunities (full-time and/or additional internships)
- Exposure to a fast-paced, fun, and inclusive culture
- A chance to work with world-class experts on challenging projects
- Opportunity to provide meaningful contributions to a real system used by customers
- High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation
- Stuff that matters: treated as a member of the Snowflake team, included in company meetings/activities, flexible hours, casual dress code, accommodations to work from home, swag, and much more
- Catered lunches, access to gaming consoles, recreational games, happy hours, company outings, and more
- How to build enterprise grade, reliable, and trustworthy AI Systems to bring Simple and Secure AI & ML to our customers and their data
- Working to simplify the experience to build LLM-powered applications
- Working to simplify access to ML for SQL-based analysts and users
- How to collaborate toward delivering 1st party product enhancements leveraging the capabilities of language models
- Learning about cutting edge database technology and research in the world of AI
- Possible Teams/Work Focus Areas:
- Agents & Search (Agents, Snowflake Intelligence, Analyst, Cortex Search)
- AI Experience (AI UX & Observability not captured in platforms)
- LLM Platform (Corvo, REST API, Provisioned Throughput)
- ML Platform (Feature Store, Lineage, Data Science Agent, Container Platform)
- AI SQL
Our take
Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organisations of all sizes from unleashing the true value of their data.
The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.
Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.
Freddie
Company Specialist at Welcome to the Jungle
Insights
37% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Feb 2020
$479m
LATE VC
Oct 2018
$450m
LATE VC
Total funding: $1.4bn
Company benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program
Company HQ
Menlo Park, CA
Leadership
Benoit Dageville
(Co-Founder & President of Product)Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.
Thierry Cruanes
(Co-Founder)Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.
Sridhar Ramaswamy
(Chief Executive Officer)Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.
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