Applied Machine Learning Scientist - AI Agents

Key Responsibilities

• Design and Build: Develop 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: Partner cross-functionally with Product, Engineering, and Business teams.
• Drive ML Excellence: Manage model deployment, testing, CI/CD, and monitoring.
• Lifecycle Management: Oversee the full ML lifecycle from prototyping to iterative improvement.

Requirements

• Education/Experience: 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, TensorFlow, Huggingface.
• Experience with Generative AI/ML solutions (finetuning, training, testing, validating).
• Deployment: Containerization and orchestration (Docker, Kubernetes).
• Cloud Providers: AWS and Azure.
• Strong communication skills for technical and business audiences.

Preferred Qualifications

• 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: LangChain, LlamaIndex, Autogen, or Crew.ai.

Benefits & Perks

• Health: Medical, dental, vision, and life insurance starting day one; 6 free therapy sessions/year.
• Time Off: 18 PTO days annually + 6 company holidays.
• Retail: 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.

Important Notices

• 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.

Job Details

• Location: Remote (USA), Lake Forest, IL
• Job Type: remote
• Posted: May 15, 2026

Contact Information

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