Snowflake
Software Engineer - Machine Learning Platform
Snowflake, Menlo Park, California, United States, 94029
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, GitLab, GitHub 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.
#J-18808-Ljbffr
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, GitLab, GitHub 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.
#J-18808-Ljbffr