Senior Software Engineer, Machine Learning Platform

Snowflake

full-time

Posted on: 9/4/2025

Location: California, Washington • 🇺🇸 United States

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💰 $195,000 - $250,000 per year

Senior

JavaPythonPyTorchScikit-LearnTensorflow

About the role

Build the next generation ML Feature Platform to enable state of the art machine learning and LLM workloads on Snowflake.
Define and own the roadmap, working collaboratively and proactively with senior architects, PMs and team leadership.
Build and execute a vision for incorporating new advances in machine learning to meet the team’s business objectives.
Ensure operational excellence of the services and meet commitments to 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.
Engage in strategy, set technical directions, design and execute to unlock AI for enterprise customers.

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.
Experience in serving models using inference engines like vLLM, TEI, SGLang.
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.
Have worked well with data scientists, business analysts and machine learning infrastructure to connect the dots between business and technology partners.
A growth mindset and excitement about breaking the status quo by seeking innovative solutions.
BS/MS/PhD in Computer Science or related majors, or equivalent experience.
Expected to follow the company’s confidentiality and security standards for handling sensitive data.