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Senior Software Engineer - Machine Learning Platform

Snowflake

Salary not specified
Aug 21, 2025
Menlo Park, CA, US
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Snowflake Machine Learning Platform team's mission is to enable customers to bring their machine learning and deep learning workloads to Snowflake. Customers want to build powerful models with the ever increasing data in Snowflake but face several challenges including infrastructure optimizations, orchestration, performance and security. The team aims to solve these challenges by building highly integrated platform solutions that are simple, secure and enable end to end ML workflows.

Requirements

  • Have 8+ years of industry experience designing, building, and supporting Internet serving infrastructure, machine learning platforms, machine learning services and frameworks.
  • Strong track record of working with machine learning systems and/or platforms.
  • Experience with several of the following frameworks: SKLearn, XGBoost, PyTorch, Tensorflow.
  • Strong understanding of computer science fundamentals.
  • Have built a roadmap and vision around machine learning teams, and led technical decision making with help of architects and PMs and team.
  • Have led multiple engineers in delivering large, high impact projects.
  • Fluent in Python. C++ and Java experience is a plus.

Responsibilities

  • Help define and own the roadmap, working collaboratively and proactively with senior architects, PMs and team leadership.
  • The initiatives include platforms and tools that enable customers to do state of the art machine learning on Snowflake natively.
  • Collaboratively build and execute a vision for incorporating new advances in machine learning in ways that best achieve the team’s business objectives.
  • Ensure operational excellence of the services and meet the commitments to our customers regarding reliability, availability, and performance.
  • Collaborate across other ML partner teams to continuously improve ML development velocity and capabilities at Snowflake.
  • Support team members in delivering a high level of technical quality.

Other

  • 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.
  • A growth mindset and excitement about breaking the status quo by seeking innovative solutions.
  • Have worked well with data scientists, business analysts and machine learning infrastructure to connect the dots between business and technology partners.