Snowflake Logo

Snowflake

Senior Software Engineer - Machine Learning Platform

Job Posted Yesterday Posted Yesterday
Be an Early Applicant
2 Locations
Senior level
2 Locations
Senior level
Lead the development of the Machine Learning Platform at Snowflake, focusing on enabling scalable machine learning workloads, driving innovation, and ensuring operational excellence.
The summary above was generated by AI

Build the future of the AI Data Cloud. Join the Snowflake team.

The Snowflake Machine Learning Platform team’s mission is to enable customers to bring their machine learning and deep learning workloads to Snowflake. Our 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. We are on an early journey to build the most scalable machine learning and data platform without sacrificing the benefits of a single platform and governance.

We are looking for outstanding technical leaders who will play a pivotal role in this journey by understanding Snowflake’s core platform architecture and evolving it to enable state of the art machine learning workloads, including LLMs. Join us to define strategies, set technical directions, design and execute, engage and deliver innovation and unlock the power of AI for thousands of enterprise customers. This position is based in San Mateo, CA or Bellevue, WA

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.

IDEAL REQUIREMENTS & QUALIFICATIONS:

  • 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 with building batch model inference and online model serving systems.

  • 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

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.

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?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Top Skills

C++
Java
Python
PyTorch
Sklearn
TensorFlow
Xgboost

Snowflake Bellevue, Washington, USA Office

In the heart of Silicon Valley, you'll find our 4-story, 2-tower San Mateo hub, which actually emerged from the very spot Snowflake started in 2012 – it all began in one of our founder's humble San Mateo apartments.

Similar Jobs

2 Hours Ago
Easy Apply
Hybrid
Seattle, WA, USA
Easy Apply
Entry level
Entry level
Fintech • Mobile • Software • Financial Services
Design and develop server-side applications and APIs, manage databases, optimize workflows, and advocate for process improvements in a collaborative environment.
Top Skills: JavaKotlinPostgresReactSpring
7 Hours Ago
Hybrid
Bellevue, WA, USA
217K-368K Annually
Senior level
217K-368K Annually
Senior level
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
Lead the Recommendation & Personalization Engine team, set technical vision, develop customer models, and partner with executives to drive Chewy's growth strategy.
Top Skills: AIData AnalyticsMachine LearningSoftware Development
9 Hours Ago
Remote
Hybrid
65 Locations
84K-202K Annually
Mid level
84K-202K Annually
Mid level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
The role involves designing data architecture strategies, collaborating to produce technical solutions, and mentoring team members while maintaining data integrity and client relationships.
Top Skills: AWSAzureDockerGCPJavaPythonScalaSQL

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account