Software Engineer Intern, Snowflake

AI/ML, Spring 2025

Salary not provided

+ Bonus + Equity

SQL

Python

Java

CUDA

Spring

PyTorch

Golang

San Francisco Bay Area

3-5 days a week in office (San Mateo, 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

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Job no longer available

Salary not provided

+ Bonus + Equity

SQL

Python

Java

CUDA

Spring

PyTorch

Golang

San Francisco Bay Area

3-5 days a week in office (San Mateo, CA)

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Company mission

On a mission to mobilize the world's data.

Job

Company

Role

Who you are

We’re looking for dedicated students who share our passion for groundbreaking technology and want to create a lasting future for Snowflake and you
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
When: Spring (Jan - April)
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

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
Large-Scale Distributed Training
AI Inference
Model Compression
Automatic Finetuning and datalabeling
Large-scale distributed systems
Software-as-a-Service platform
Software frameworks for stability and performance testing

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

Company

Funding (last 2 of 9 rounds)

Feb 2020

$479m

SERIES G

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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