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Sr Applied Machine Learning Scientist

at W.W. Grainger, Inc. in Chicago, Illinois, United States

Job Description

Work Location Type:Hybrid

As a leading industrial distributor with operations primarily in North America, Japan and the United Kingdom, We Keep The World Working by serving more than 4.5 million customers worldwide with products delivered through innovative technology and deep customer relationships. With 2023 sales of $16.5 billion, we're dedicated to providing value for customers, fostering an engaging culture for team members and driving strong financial results.

Our welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe. As a 2024 Glassdoor Best Place to Work and a Great Place to Work-Certified company, we're looking for passionate people to join our team as we continue leading the industry over our next 100 years.

Position Details:
Grainger's Product Discovery team seeks a seasoned Senior Applied ML Scientist to develop cutting-edge recommendation solutions. Leveraging technologies such as Product Graphs, Deep Learning, Graph Neural Networks (GNNs), Large Language Models (LLMs), and Embeddings, our goal is to streamline operational efficiency and facilitate seamless customer experiences. At the heart of our mission, "We Keep the World Working," lies the crucial role of Search and Recommendations. Our innovative solutions enable customers to navigate through product categories effortlessly, discover premium products tailored to their needs, and access the most pertinent information, empowering them to make informed purchasing decisions confidently.

You Will:

Design, build, and maintain advanced machine learning models for our recommendation systems, ensuring they are scalable, efficient, and impactful.

Utilize a broad array of technologies including GNNs, LLMs, and Product and Graph Embeddings to enhance Grainger's product discovery experience, making it more intuitive and personalized for our customers.

Work closely with other ML scientists, engineers, and product managers to integrate your models into Grainger's platforms, contributing to a cohesive product discovery journey.

Keep up to date onthe latest developments in machine learning and related technologies, applying cutting-edge research and methodologies to your work.

Work backward from customer use cases, resulting inimplementation of ML models that solves the use cases at scale.

Articulate concepts and generate visual representations of your work and the impact it creates.

Contribute to the strategic planning and direction of our ML initiatives, ensuring they align with business objectives and drive value.

Share your knowledge and expertise with team members, fostering an environment of learning and growth within the Product Discovery team.

You Have:

Master's or PhD degree in a field such as Applied Mathematics, Physics, Engineering, Computer Science, Electrical Engineering or equivalent experience

Ability to effectively communicate technical solutions to engineering teams and business audiences

Experience with deep learning frameworks such as PyTorch, Jax, TensorFlow, Keras

Familiarity with machine learning libraries and tools is essential for developing, training, and deploying models efficiently

Experience wrapping models in C/Python code and serving them as APIs

Experience optimizing inference speeds of models via quantization, distillation or other means when served as endpoints

Experience deploying models into the cloud with tooling like Docker & Kubernetes

Experience automating data augmentation and refresh using Airflow and Bash Scripting

Experience with GNNs to model relationships and interactions within data, crucial for building sophisticated recommendation systems based on Product Graphs

Familiarity with using Graphs for in-session recommendation or personalization

Understanding of LLMs, including their development and application in processing and understanding natural language, to enhance search and recommendation capabilities

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 .

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... For full info follow application link.

Grainger is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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Job Posting: 11809928

Posted On: Apr 05, 2024

Updated On: Apr 05, 2024

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