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# Applied Machine Learning Scientist

- **Company:** BINGHAMTOM UNIVERSITY
- **Location:** Chicago, IL, United States (Remote available)
- **Salary:** $102,300.0 - $170,500.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Continuous Integration, Software Engineering, Kubernetes, Information Technology, Software Version Control, Software Library, Docker
- **Published:** August 28, 2026
- **Apply:** https://www.themuse.com/jobs/grainger/applied-machine-learning-scientist-ai-agents?utm_source=uconnect

## About the Role

* A Bachelor's degree in applied mathematics, Physics, Engineering, Computer Science, Electrical Engineering, Economics, or 2 years of related industry work experience

 * 1 year minimum of industry experience in Machine Learning/ GenAi

 * Experience with deep learning frameworks such as PyTorch, Tensorflow, Huggingface

 * Experience working with Generative AI or ML solutions such as finetuning, training, testing, validating.

 * Experience deploying ML models using containerization and container orchestration technologies such as Docker and Kubernetes

 * Ability to effectively communicate technical solutions to technical and business audiences, both verbally and in writing

 * Experience with cloud providers such as AWS and Azure

Preferred:

 * Advanced degree (PhD or Master's) in Applied Mathematics, Physics, Engineering, Computer Science, Electrical Engineering, Economics, or related fields.

 * Experience model quantization and deployment on model servers such as Triton

 * Experience managing end-to-end software development life cycle (version control, CICD pipelines, Kubernetes clusters, testing, monitoring & alerting, production support, etc.)

 * Familiarity with machine learning libraries like LangChain, LlamaIndex, Autogen or Crew.ai

 * Experience deploying models into the cloud with tooling like Docker & Kubernetes

## Description

As an Applied Machine Learning Scientist, you'll partner closely with Product and Engineering teams to design, develop, and deploy ML-powered systems that strengthen Grainger's customer relationships. This role is ideal for someone with foundational AI/ML experience who's eager to work on real-world GenAI applications, including document intelligence, voice-based systems, retrieval-augmented generation (RAG), and agentic AI solutions.

You will report to Sr Manager, Applied Machine Learning and although a Chicago based position is preferred (8 days a month in office), we will consider highly qualified remote candidates who can visit the Chicago office for initial onboarding and quarterly meetings.

You Will:

 * Design and Build: Develop scalable, high-performance ML components that power end-to-end generative and agentic workflows-such as knowledge curation, search, context management, and workflow orchestration.

 * Apply Advanced Techniques: Work with Deep Learning, LLMs, VLMs, fine-tuning, and prompt optimization to enhance how Grainger manages and leverages complex content.

 * Collaborate Cross-Functionally: Partner with Product, Engineering, and Business teams to align ML initiatives with Grainger's customer-focused strategy.

 * Drive ML Excellence: Contribute to best practices in model deployment, testing, CI/CD, and monitoring, ensuring robust, maintainable, and ethical AI solutions.

 * Own the Lifecycle: Support the full ML lifecycle-from prototyping and deployment to evaluation, monitoring, and iterative improvement.

 * Learn and Evolve: Stay current with emerging ML trends and research, introducing innovative techniques to improve performance and impact.


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