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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.
- Software Engineer
- AI Poland
We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.
We're looking for a talented and motivated Software Engineer to join our AI Functions Platform team, specializing in the scalability, availability and resilience of LLMs, NLP, and AI tools. In this role, you will have the opportunity to leverage your expertise to contribute to the development and productization of platforms for cutting-edge AI projects (e.g. multi-modal LLMs) that are or will be integrated into the Snowflake platform making a significant impact on the company’s portfolio.
Some of the projects we are currently working on include full deployment automation of our inference stack while maintaining quality gates supporting Snowflake’s global scale, and a new architecture for multi-modal inference to support the growing demand for AI capabilities.
YOUR JOURNEY AS A SOFTWARE ENGINEER:
Working in our team you will:
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Think creatively to find optimal solutions to our complex, often ambiguous problems
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Participate in all stages of developing and serving new platforms for various AI solutions and improving existing Snowflake’s functionalities in the AI domain
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Work closely with other research, engineering, and business teams to understand and shape the short and long-term product development strategy
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Serve as a mentor to less experienced engineers, researchers, and product managers
IDEAL CANDIDATE
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3+ years of experience writing production-quality scalable code using backend languages (preferred Go, Python, Java)
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BSc in a technical field (AI/ML, CS, DS, Physics, Math, etc), MSc/PhD is a plus
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Professional level in building SDKs / web service APIs (REST/ gRPC)
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Experience with software engineering best practices (programming, testing, version control, CI/CD, docker/Kubernetes, Jenkins, agile development, etc)
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High levels of curiosity and eager enthusiasm for open-ended problems. Experience and interest in problem formulation based on relatively abstract information
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Ability to articulate results and complex concepts to leadership
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Must be able to produce solutions independently in an organized manner, work in a team, and also be able to lead a team when required
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Hands-on experience in the MLOps field (e.g., deploying ML models) will be a strong asset.
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
Publicsnowflake 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
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