Salary
💰 $195,000 - $250,000 per year
Tech Stack
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.
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.
- 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.