Machine Learning Engineer Level 2

Grainger

4.1

(28)

Lake Forest, IL

Why you should apply for a job to Grainger:

  • 4.1/5 in overall job satisfaction
  • 4.8/5 in supportive management
  • 75% say women are treated fairly and equally to men
  • 75% would recommend this company to other women
  • 81% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.

    #311560-en_US

    Position summary

    ver 10 million SKU's and nearly $2 billion in inventory across 500 DC's and branches in North America. We're hiring a Machine Learning Engineer II, Inventory Optimization and Advanced Analytics to support and develop solutions to support a team of data scientist to make analytics-based decisions on where, when, and how much inventory is needed to satisfy customers' needs. You will report to the Manager, Machine Learning Engineer, Inventory Optimization & Advanced Analytics. The position will be hybrid in Lake Forest or Chicago 3 days per week.

    You Will:

    • Create scalable, efficient, automated processes for large-scale data analyses, model development, model validation and deployment

    • Oversee machine learning solutions, collaborating with data scientists to foster ongoing continuous improvement

    • Explore emerging technologies to evaluate their potential application to our team's objectives, and responsible for the deployment of innovative solutions that align with our strategic goals

    • Automate critical system operations, design robust ETL pipelines, and develop web applications that enable stakeholders to effectively interact with and utilize our ML and ERP systems

    You Have:

    • 2+ years of experience deploying and maintaining production machine learning solutions with Python

    • Exposure or familiarity with AWS products (s3, ECR, Secrets Manager)

    • Follow software engineering practices and use version control and CI/CD tools (GitHub, GitHub Actions)

    • Proficient in usage of databases (Snowflake, DuckDB) and querying languages (e.g. SQL)

    • Experience working in containerization ecosystems (Kubernetes, Docker)

    • Familiarity with machine learning models and concepts (time series forecasting, clustering)

    • Experience automating workflows using orchestration (Astronomer, Airflow)

    Rewards and Benefits:

    With benefits starting day one, our programs provide choice and flexibility to meet team members' individual needs. Check out the highlights below and review all our benefits at GraingerTotalRewards.com.

    • Medical, dental, vision, life, and pet insurance plans and 6 free sessions each year with a licensed therapist to support your emotional wellbeing

    • Paid time off (PTO) and 6 company holidays per year

    • 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no match required

    • Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education and tools

    • Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents

    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.

    We are committed to fostering an inclusive, accessible environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment. With this in mind, should you need a reasonable accommodation during the application and selection process, please advise us so that we can provide appropriate assistance.

    Why you should apply for a job to Grainger:

  • 4.1/5 in overall job satisfaction
  • 4.8/5 in supportive management
  • 75% say women are treated fairly and equally to men
  • 75% would recommend this company to other women
  • 81% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.