Staff Software Engineer, Machine Learning Platform

About Grainger:
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 121,380 to 186,150 with a target bonus of 15%
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 improve cloud infrastructure solutions which support
applications executing at scale.
• Collaborate with machine learning, infrastructure, and platform engineers to ensure
performant access to data, distributed compute, and networked services.
• Ensure a rigorous deployment process using DevOps standards and mentor users in
software development best practices.
You Have:
• Bachelor’s degree in computer science or an engineering related discipline and 7+
years’ experience or an equivalent combination of education and experience.
• Experience developing production grade software incorporating testing and
monitoring patterns in Python or Java.
• Proficiency with cloud-based services; AWS preferred (e.g., EKS, Lambda,
Sagemaker).
• Proficiency in IAC and automated infrastructure management/deployment patterns
(e.g., Terraform, Ansible, Helm).
• Experience with DevOps practices and CI/CD tools (e.g., Git, GitHub Actions).
• Work collaboratively in a team environment.
Bonus:
• Expertise in designing, analyzing, and troubleshooting large-scale distributed
systems.
• Experience working with machine learning applications and associated
frameworks/tools.
• Experience with big data technologies, distributed computing frameworks, and/or
streaming data processing tools (e.g., Spark, Kafka, Presto, Flink).
• Familiarity with containerization and container orchestration technologies (e.g.,
Docker, Kubernetes, Airflow) and event-driven architectures.
Don’t meet every single qualification? Studies show people are hesitant to apply if they don’t
meet all requirements listed in a job posting. If you feel you don’t have all the desired
experience, but it otherwise aligns with your background and you’re excited about this role,
we encourage you to apply. You could be a great candidate for this or other roles on our team.
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
DEI Statement
We are committed to equal employment opportunity regardless of race, color, ancestry,
religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability,
gender, gender identity or expression, or veteran status. We are proud to be an equal
opportunity workplace.