Senior Machine Learning Platform Engineer

Key Skills

Ansible, Apache Airflow, AWS, AWS Sagemaker, Cloud computing, Continuous Integration & Continuous Delivery - CI/CD, DevOps, Docker, Git, Github, Kubernetes-K8s, Lambda, Machine learning techniques, MLOps tools, Terraform

Job Description

Grainger is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. We achieve our purpose, We Keep the World Working®, by serving more than 4.5 million customers with a wide range of products that keep their operations running and their people safe. Grainger also delivers services and solutions, such as technical support and inventory management, to save customers time and money.

We're looking for passionate people who can move our company forward. As one of the 100 Best Companies to Work For, we have a welcoming workplace where you can build a career for yourself while fulfilling our purpose to keep the world working. We embrace new ways of thinking and recognize everyone is an individual. Find your way with Grainger today.

Position Details:

The recently formed Machine Learning Operations & Platform team is focused on enabling machine learning scientists and engineers at Grainger to continuously develop, deploy, monitor, and refine machine learning models as well as improving the ML software development process.  You will work with machine learning, data engineering, and infrastructure teams to build core components of a scalable, self-service machine learning platform that powers customer-facing applications. You will play an important part in developing the tools and services that form the backbone of Grainger’s AI driven features leveraging methods in Deep Learning, Natural Language Processing, Computer Vision, and beyond. This is an exciting opportunity to join a new team and build a platform from the ground up. 

Compensation:

This position is salaried and will pay between $104,000 to $160,000 with a target bonus of 10%.

The range provided is a guideline and not a guarantee of compensation. Other factors that are involved in offer decisions include, and are not limited to: a candidate's experience, qualifications, geographical area, and internal equity of the team.

You Will:

• Build self-service and automated components of the machine learning platform to enable the development and monitoring of machine learning models. 
• Design, monitor, and continuously improve ML platform architecture solutions which support applications executing at scale. 
• Collaborate with data scientists and machine learning engineers to ensure their models are production-ready and scalable and troubleshoot issues as they arise.  
• Keep up to date with the latest tools in the machine learning and MLOps space and recommend improvements and new solutions to enhance the platform.   

You Have:

• Bachelor's degree in Computer Science, Electrical Engineering, or related fields.  
• Proficiency developing production grade software incorporating testing and monitoring; experience with Python or Java preferred. 
• Familiarity with common machine learning frameworks, tools, and patterns. 
• Experience with containerization and container orchestration technologies (e.g., Docker, Kubernetes, Airflow) and their application to machine learning workflows.  
• Experience with cloud-based services; AWS preferred (e.g., EKS, Lambda, Sagemaker). 
• Experience with DevOps practices and CI/CD tools (e.g., Git, GitHub Actions). 
• Work collaboratively in a team environment. 

Bonus: 

• Experience architecting and implementing large-scale machine learning systems. 
• Experience with model optimization/quantization and high-performance computing. 
• Proficiency with infrastructure as code (IAC) technologies and automated infrastructure management/deployment patterns (e.g., Terraform, Ansible, Helm). 

Rewards and Benefits:

With benefits starting day one, Grainger is committed to your safety, health and wellbeing. Our programs provide choice to meet our team members' individual needs. Check out some of the rewards available to you at Grainger.

• Medical, dental, vision, and life insurance coverage starts day one
• Paid time off (PTO) days and 6 company holidays per year
• 6% 401(k) company contribution each pay period
• Education assistance, including financial counseling, tuition reimbursement and low-cost degree options
• Employee discounts, parental leave, and more