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Software Engineer - Machine Learning Feature Store

Job in Menlo Park, San Mateo County, California, 94029, USA
Listing for: Snowflake
Full Time position
Listed on 2025-12-02
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, Software Engineer, Cloud Engineer - Software, AI Engineer
Salary/Wage Range or Industry Benchmark: 157000 - 230000 USD Yearly USD 157000.00 230000.00 YEAR
Job Description & How to Apply Below

Software Engineer - Machine Learning Feature Store

Snowflake offers parental leave, paid time off, paid holidays, 401(k), retirement plan.

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.

Responsibilities
  • 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.
Qualifications
  • 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.

Compensation and benefits

The following represents the expected range of compensation for this role:

  • The estimated base salary range for this role is $157,000 - $230,000.
  • Additionally, this role is eligible to participate in Snowflake's bonus and equity plan.

The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program;

and other company benefits.

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Helping all candidates find great careers is our goal. The information you provide here is secure and confidential.

We are now directing you to the original job posting. Please apply directly for this job at the employer’s website.

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