Staff Applied Machine Learning - AI Agents

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.
Compensation
The anticipated base pay compensation range for this position is $157,300.00 to $262,200.00. This position is eligible for participation in our short-term incentive program in accordance with the terms of the applicable plan.
The range provided is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills. The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above.
Position Details:
Grainger's Product Discovery team seeks a seasoned Staff Applied ML Scientist to drive cutting-edge generative AI solutions. Leveraging Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Vector Retrieval and Agentic processes, our goal is to build new generative customer experiences. At the heart of our mission, "We Keep the World Working," lies the crucial role of Product Discovery, which enables our customers to find what they need, when they need it. 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 Agentic processes to respond to a customer's product questions
• Utilize a broad array of technologies and techniques including Deep Learning, LLMs, Fine-tuning, Prompt optimization and Product 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 abreast of the latest developments in machine learning and related technologies, applying cutting-edge research and methodologies to your work.
• Work backward from customer use cases, engender implementation 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:

• Minimum of 5 years of experience in the industry delivering ML solutions
• Master's or PhD degree in a field such as Applied Mathematics, Physics, Engineering, Computer Science, Electrical Engineering or equivalent experience
• Experience with deep learning frameworks such as PyTorch, Jax, Keras
• Experience deploying Generative AI solutions in a business context
• Familiarity with machine learning libraries like LangChain, LlamaIndex, Autogen, or Crew.ai
• Experience deploying models into the cloud with tooling like Docker & Kubernetes
• Ability to effectively communicate technical solutions to engineering teams and business audiences
• Experience automating data augmentation and refresh using Airflow and Bash Scripting

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

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.
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