Applied Machine Learning Scientist - AI Agents

Job Description

As an Applied Machine Learning Scientist
, you will partner with Product and Engineering teams to design, develop, and deploy ML-powered systems. The role focuses on real-world GenAI applications including document intelligence, voice-based systems, retrieval-augmented generation (RAG), and agentic AI solutions within the Sales Hub or Customer Service ecosystem.

• Design and build scalable ML components for generative and agentic workflows (knowledge curation, search, context management).
• Apply advanced techniques: utilize deep learning, LLMs, VLMs, fine-tuning, and prompt optimization.
• Collaborate with cross-functional teams (Product, Engineering, Business).
• Drive ML excellence by managing model deployment, testing, CI/CD, and monitoring.
• Oversee the full ML lifecycle from prototyping to iterative improvement.

• Education:
  
  Bachelor's degree in Applied Mathematics, Physics, Engineering, Computer Science, Electrical Engineering, or Economics; or 2 years of related industry experience.
• Experience:
  
  Minimum 1 year in industry experience in Machine Learning/GenAI.
• Skills:
  
  Deep learning frameworks (PyTorch, Tensor Flow, Huggingface); generative AI/ML solutions (fine tuning, training, testing, validating); deployment (containerization and orchestration with Docker, Kubernetes); cloud providers (AWS and Azure); strong communication skills for technical and business audiences.

• Advanced degree (PhD or Master’s) in relevant fields.
• Experience with model quantization and deployment on servers (e.g., Triton).
• Experience managing end-to-end SDLC (CI/CD, Kubernetes, monitoring).
• Familiarity with libraries:
  Lang Chain, Llama Index, Autogen, or Crew.ai.

• Health:
  Medical, dental, vision, and life insurance starting day one; 6 free therapy sessions/year.
• Time Off: 18 PTO days annually + 6 company holidays.
• Retirement: 6% company contribution to 401(k), no employee contribution required.
• Family:
  Maternity support, up to 14 weeks paid leave for birth parents, up to 4 weeks for non-birth parents.
• Other:
  Employee discounts, tuition reimbursement, student loan refinancing, free financial counseling.

• Sponsorship:
  This position is not eligible for visa sponsorship (e.g., OPT, H1B). Candidates must be authorized to work in the US.
• EEO: W.W. Grainger is an Equal Opportunity Employer.
• Accommodations:
  Reasonable accommodations are available for applicants with disabilities.

Company: W.W. Grainger, Inc.

Location:

Lake Forest, IL (On-site preferred: 8 days/month in Chicago) or Remote