Sr Applied Machine Learning Scientist

W.W. Grainger - Lake Forest, IL

Full-time - Senior

Hybrid - Lake Forest, IL

1,001-5,000 employees

Merchant Wholesalers, Durable Goods

About the position

The Senior Applied Machine Learning Scientist will work with a team of experts to develop advanced technologies and solutions that enhance Grainger's technological leadership in the MRO industry. This role focuses on building machine learning algorithms and models, particularly in the areas of Natural Language Processing (NLP) and multimodal contexts, to address various business and customer challenges. The position involves collaboration with production teams to integrate innovations into product roadmaps and scale them for production, while staying updated with the latest AI/ML developments.

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.