Senior ML Python Engineer

Place of work: Warsaw, Poland (hybrid work - 3 days per week in the office)

Build the future of data. Join the Snowflake team.

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 Python Developer to join our research team specializing in the field of LLMs, NLP, and AI. In this role, you will have the opportunity to leverage your expertise to contribute to the development of cutting-edge AI solutions (e.g. new multi-modal LLMs for document understanding functionality) that will later be integrated into the Snowflake platform making a significant impact on the company’s portfolio.

AS A ML PYTHON ENGINEER AT SNOWFLAKE YOU WILL:

• Think creatively to find optimal solutions to our complex, often ambiguous problems
• Participate in all stages of developing and serving new LLM-based solutions in the domain of unstructured data processing
• Work closely with other research, engineering, and business teams to understand and shape the short and long-term product development strategy
• Serve as a mentor to less experienced researchers, engineers, and product managers

OUR IDEAL CANDIDATE WILL HAVE:

• 7+ years of experience writing production-quality scalable code using Python
• BS/MS in a technical field (AI/ML, CS, DS, Physics, Math, etc), PhD a plus
• Expert level in building SDKs / web service APIs (REST/ gRPC) 
• Experience with software engineering best practices (programming, testing, version control, CI/CD, docker/Kubernetes, Jenkins, agile development, etc)
• Experience with working with ML/MLOpslibraries such as PyTorch, Tensorflow, scikit-learn, pandas, W&B, Metaflow, etc.
• High levels of curiosity and eager enthusiasm for open-ended problems. Experience and interest in problem formulation based on relatively abstract information
• Ability to articulate results and complex concepts to leadership
• 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
• Knowing Go, Java will be a strong assets 

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?

See our AI Wasraw team on YouTube: https://www.youtube.com/watch?v=DxbB0ywa_HU

SALARY

We believe all Snowflake employees have an impact in the long-term success of Snowflake, which is why new hire equity is designed to be a considerable part of your annual compensation. When the price of Snowflake stock rises, we are all rewarded.

At Snowflake, equity is an important part of our total compensation package which is comprised of:

• Base salary 
• Bonus target or sales commission target
• Equity in the form of Restricted Stock Units (RSUs)

The total target monthly compensation range for this job is 40,000 PLN – 80,000 PLN

The final compensation offered will vary based on individual experience, skills, and job-based knowledge. 

BENEFITS

Snowflake is excited to offer a variety of benefits for our employees in Poland. For all details on benefits and perks you're eligible for as well as resources to help you understand your coverage, please review the following:

• Medical & Dental Insurance
• Mental Health Support
• Employee Capital Plan (PPK)
• Life Insurance
• Gym reimbursement / Multisport
• Phone reimbursement
• Modern Family Benefits
• Family Planning, Maternity/Paternity and Parenting Support with Maven
• Rethink: Parenting and family support for children with developmental disabilities or learning, social, or behavioral challenges.
• Adoption and surrogacy reimbursement
• Global Parental Leave
• And also: free snacks & coffee in the office
• Internal trainings, parties.