Sr Applied Machine Learning Scientist

W.W. Grainger - Lake Forest, IL

Full-time - Senior

Lake Forest, IL

1,001-5,000 employees

Merchant Wholesalers, Durable Goods

About the position

The Senior Applied Machine Learning Scientist will work within a team of scientists and technologists at Grainger to develop advanced technologies and solutions that enhance the company's technological leadership in the MRO industry. This hybrid role involves leveraging AI/ML technologies, particularly Large Language Models (LLMs), to address business and customer challenges, prototype solutions, and integrate innovations into product roadmaps.

Responsibilities

• Study MRO challenges with product partners, propose solutions, prototype and present learnings and results.
• Design, propose, evaluate algorithms, techniques and architectures.
• Evaluate, adapt, fine-tune LLMs, multimodal architectures and computer vision models.
• Develop production ready code, test, deploy with the help of engineering and MLOps partners.
• Stay up to date with the latest developments in AI/ML technologies by researching new methodologies and integrating them into existing systems.

Requirements

• Master's or PhD degree in Computer Science, Electrical Engineering, or a related field.
• At least 5 years of experience in machine learning, with a focus on NLP and Computer Vision.
• Proficiency in programming languages such as Python and C++.
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Familiarity with large-scale data processing and cloud computing platforms.
• Excellent problem-solving skills and ability to work collaboratively in a team environment.
• Familiarity with deployment pipelines, model delivery and monitoring in production environments.
• Familiarity with transformer architectures, fine-tuning LLMs and techniques specific to NLP (tokenization, Named Entity Recognition, text analysis).
• Understanding how to combine text with other modalities to enhance model capabilities for industrial applications.
• Excellent written and verbal communication skills as evidenced by internal, academic, or industry publications and presentations in their domain of expertise.