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Software Engineer - Machine Learning Feature Store

Snowflake

Software Engineer - Machine Learning Feature Store

Snowflake

US-WA-Bellevue

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Top Tier compensation with equity

Health, dental, and vision coverage

Flexible PTO policy

Annual team offsites

Wellness benefits

Required Skills

SQL

Python

TensorFlow

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.

Join our ML Feature Store team where we're building cutting-edge product capabilities that power complex feature transformations and low latency feature serving. We're revolutionizing machine learning feature management and serving capabilities as part of the Snowflake ML suite of products. In the era of GenAI and agents, our team delivers high-quality, fresh feature solutions that make a real difference for our customers.

IN THIS ROLE AT SNOWFLAKE, YOU WILL:

  • Design and build new features for the Snowflake Feature Store in collaboration with senior engineers.

  • Write, test, and deploy high-quality, scalable code in Java and Python.

  • Help incorporate new advances in machine learning into our platform.

  • Contribute to the operational excellence of our services by improving reliability and performance.

  • Collaborate with engineers on partner teams to build integrated and seamless ML solutions for customers.

WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE:

  • 2+ years of industry experience (or equivalent internship/project experience) designing and building data-intensive systems or software.

  • Strong programming skills in Python or Java.

  • A solid understanding of computer science fundamentals (data structures, algorithms, operating systems).

  • A passion for building scalable, high-performance systems.

  • A growth mindset and an eagerness to learn and solve complex problems.

  • BS in Computer Science or a related degree; MS/PhD is a plus.

  • Bonus Points: Experience with ML data management and/or streaming , low latency data serving infrastructure.

WHY JOIN OUR TEAM AT SNOWFLAKE?

You'll be at the forefront of innovation in machine learning infrastructure, working with cutting-edge technologies and solving complex challenges. Our team is driving the future of feature management and serving capabilities, making a direct impact on how organizations leverage machine learning. You'll have the opportunity to learn from talented engineers and contribute to products that are reshaping the industry.

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

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 http://careers.snowflake.com

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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