Applied Machine Learning Scientist – AI Agents

Grainger

. 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.

Posted 5/15/2026full-timeLake Forest • Illinois • 🇺🇸 United StatesJunior💰 $102,300 - $170,500 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerKubernetesPyTorchTensorflow

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Benefits

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Machine LearningDeep LearningGenerative AIFine-tuningPrompt OptimizationModel DeploymentCI/CDMonitoringPrototypingEvaluation

Soft Skills

CollaborationCommunicationCross-Functional PartnershipProblem SolvingAdaptability