Senior Applied Machine Learning Scientist- 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 $131,200.00  to $218,700.00.  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 Senior 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:

• Build and maintain Agentic processes to respond to customer product questions
• 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.
• Design and implement robust data pipelines for training models and fine-tuning LLMs
• Solving high impact production ML problems and delivering business impact through data and machine learning products
• Collaborate with data scientists and machine learning engineers to ensure their models are production-ready and scalable and troubleshoot issues as they arise. 

 

You Have:

• Minimum of 3 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
• Prior experience with Generative AI systems using packages like LangChain, LlamaIndex, etc.
• Proficiency developing production grade software incorporating testing and monitoring experience with Python

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 insuran