refresh

热门公司

Trending

招聘

JobsSnowflake

Research Intern (AI) - 2026

Snowflake

Research Intern (AI) - 2026

Snowflake

PL-Warsaw

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Professional development budget

Team events and activities

401(k) matching

Flexible work arrangements

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Learning

Flexible Hours

Equity

Healthcare

Required Skills

React

Python

PostgreSQL

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

We’re at the forefront of the AI revolution, building the world’s leading data and applications platform. At Snowflake, our "get it done" culture empowers everyone to innovate, create impactful work, and thrive in a highly collaborative environment.

We are looking for a talented and motivated Research Scientist Intern to join our AI-focused R&D team. In this role, you will contribute to cutting-edge AI-powered products, such as Snowflake Intelligence, which helps business users extract insights from large-scale data. Your work will be directly integrated into the Snowflake platform, driving AI innovation in data applications.

WHAT WE OFFER:

  • Paid, full-time internship within a dynamic AI-driven R&D team

  • Collaboration with world-class experts on groundbreaking AI/ML research projects

  • Direct mentorship and structured feedback, including regular check-ins and a final evaluation

  • Integration as a full-fledged member of the Snowflake AI R&D Team

  • Post-internship career opportunities (full-time and/or additional internships)

WHAT WE EXPECT:

  • Actively enrolled in PhD or MSc in Computer Science, Mathematics, or a related field

  • Preferred strong research background demonstrated by publications at top-tier ML conferences, such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, and ICCV

  • Strong programming skills (Python)

  • Strong foundation in ML theory, deep learning architectures, and statistical modeling

  • Exposure to the ML frameworks (Py Torch, JAX, Tensor Flow)

  • Ability to formulate and explore open-ended research questions

  • Ability to work independently while effectively collaborating within a team

  • Strong communication skills to present insights and recommendations to both technical and non-technical audiences

  • Duration: Minimum 4 months (recommended 6 months, up to 12 months supported)

WHAT YOU WILL LEARN/GAIN:

  • Conducting research on foundational and applied AI topics

  • Experimenting with scalable ML systems and integrating new methods into Snowflake’s AI stack.

  • Keeping up with academic and open-source AI research.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About Snowflake

Snowflake

Snowflake

Public

snowflake provides web applications and web hosting services.

1-50

Employees

Zürich

Headquarters

Reviews

3.6

1 reviews

Work Life Balance

3.0

Compensation

3.5

Culture

2.5

Career

3.0

Management

2.0

35%

Recommend to a Friend

Pros

Positive performance reviews and raises

Opportunities to learn new technical skills

Career advancement with promotion

Cons

Role demotion after acquisition

Poor communication regarding promotions

Administrative inefficiencies with title updates

Salary Ranges

3,987 data points

Junior/L3

L3

L4

L5

L6

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Scientist

277 reports

$252,858

total / year

Base

$171,306

Stock

$57,741

Bonus

$23,811

$190,229

$354,557

Interview Experience

8 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 88%

Negative 12%

Interview Process

1

Application Review

2

Resume Screening

3

Initial Phone Screen

4

Technical Phone Screen

5

Technical Coding Round

6

Offer Discussion

Common Questions

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR