Staff Applied Machine Learning - AI Agents

Rewards and Benefits: With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including: Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing. 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year. 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution 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. For additional information and details regarding Grainger’s benefits, please click on the link below: https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire The pay range provided above 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. Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law. 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

Salary : $157,000 - $262,000