Staff Applied Machine Learning - AI Agents

March 1

🌽 Illinois – Remote

Although this job is listed in Illinois, this company may be open to hiring remote in other states.

💵 $157.3k - $262.2k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Grainger

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Grainger is a leading broad line distributor that operates primarily in North America, Japan, and the United Kingdom. With a mission to "Keep the World Working", Grainger serves over 4. 5 million customers by offering around 2 million maintenance, repair, and operating (MRO) products and services, as well as access to millions of additional products through its online platforms. The company is recognized for its commitment to excellent service and innovative technology that enhances customer relationships and operational efficiency.

Supply Chain Management • Facilities Management • MRO • Light and Heavy Manufacturing • Healthcare

10,000+ employees

Founded 1927

🤝 B2B

🛍️ eCommerce

🛒 Retail

📋 Description

• Grainger's Product Discovery team seeks a seasoned Staff Applied ML Scientist to drive cutting-edge generative AI solutions. • Leveraging Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Vector Retrieval, and Agentic processes. • Design, build, and maintain Agentic processes to respond to a customer’s product questions. • Work closely with other ML scientists, engineers, and product managers to integrate your models into Grainger's platforms. • Keep abreast of the latest developments in machine learning and related technologies. • Work backward from customer use cases, engender implementation of ML models that solve the use cases at scale. • Share your knowledge and expertise with team members, fostering an environment of learning and growth.

🎯 Requirements

• Minimum of 5 years of experience in the industry delivering ML solutions. • Master's or PhD degree in a field such as Applied Mathematics, Physics, Engineering, Computer Science, Electrical Engineering or equivalent experience. • Experience with deep learning frameworks such as PyTorch, Jax, Keras. • Experience deploying Generative AI solutions in a business context. • Familiarity with machine learning libraries like LangChain, LlamaIndex, Autogen or Crew.ai. • Experience deploying models into the cloud with tooling like Docker & Kubernetes. • Ability to effectively communicate technical solutions to engineering teams and business audiences. • Experience automating data augmentation and refresh using Airflow and Bash Scripting.

🏖️ Benefits

• 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.