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Software Engineer - Machine Learning Platform

Job in Menlo Park, San Mateo County, California, 94029, USA
Listing for: Snowflake
Full Time position
Listed on 2025-12-02
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer, Data Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 157000 - 230000 USD Yearly USD 157000.00 230000.00 YEAR
Job Description & How to Apply Below

Software Engineer - Machine Learning Platform

Where Data Does More. Join the Snowflake team.

The Snowflake Machine Learning Platform team’s mission is to enable customers to bring their ML/AI workload to Snowflake. Our customers want to leverage ML/AI to extract business values from ever increasing data in Snowflake but face challenges including infrastructure management, scaling, orchestration, performance and security. The team aims to solve these challenges by building highly integrated platform solutions that are simple, secure and scalable to enable end to end ML workflows.

We are on an early journey to build the best machine learning and data platform for Snowflake customers without sacrificing the benefits of a single platform and governance.

We are looking for a driven engineer 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 ML/AI workloads. Join us to design and execute, engage and deliver innovation and unlock the power of AI for thousands of enterprise customers.

YOU WILL
  • Design easy-to-use & intuitive APIs & systems for ML experts and non-experts to accelerate the E2E ML development and production lifecycle
  • Design and optimize systems to scale up and out ML data and batch and real time inference
  • Collaboratively build and execute a vision for incorporating new advances in machine learning in ways that best achieve the customers' business objectives
  • Be a strong contributor to the product vision and team planning
  • Build operational and release rigor with every feature/bug fix deployments
QUALIFICATIONS
  • 2+ years of industry experience designing, building, and supporting machine learning platforms, machine learning services & frameworks or data intensive systems
  • Experience with frameworks such as SKLearn, XGBoost, PyTorch, Tensorflow, MLflow
  • Fluent in Python. C++, Java, Go experience is a plus
  • Familiarity with Kubernetes (K8s) for container orchestration and scaling, plus experience setting up and maintaining CI/CD pipelines (e.g., Jenkins, Git Lab, Git Hub Actions) is a plus
  • Growth mindset and excitement about breaking the status quo by seeking innovative solutions
  • BS in Computer Science or related degree;
    Masters or PhD preferred

Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data and to keep customer information secure and confidential.

Snowflake is growing fast, and 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.

Compensation and Benefits
  • The estimated base salary range for this role is $157,000 - $230,000
  • Bonus and equity plan eligibility
  • Competitive benefits package: medical, dental, vision, life, disability insurance; 401(k); flexible spending & health savings accounts; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits

The successful candidate's starting salary will be determined based on skills, experience, and geographic location.

We encourage all candidates to apply through the employer’s website for this job posting.

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