Software Engineer AI

Requirements

• 3+ years of experience writing production-quality scalable code using backend languages (preferred Go, Python, Java)

• BSc in a technical field (AI/ML, CS, DS, Physics, Math, etc), MSc/PhD is a plus

• Professional 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)

• 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

• Hands-on experience in the MLOps field (e.g., deploying ML models) will be a strong asset.

What you'll be doing

• Think creatively to find optimal solutions to our complex, often ambiguous problems

• Participate in all stages of developing and serving new platforms for various AI solutions and improving existing Snowflake’s functionalities in the AI domain

• 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 engineers, researchers, and product managers

Nice to haves

• Hands-on experience in the MLOps field (e.g., deploying ML models) will be a strong asset.

Perks and benefits

• 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.