Applied Machine Learning Scientist - AI Agents

OverviewWe're looking for an Applied Machine Learning Scientist to help shape the future of intelligent, customer-centered solutions within our Sales Hub or Customer Service ecosystem.You WillDesign 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.You HaveA Bachelor's degree in applied mathematics, Physics, Engineering, Computer Science, Electrical Engineering, Economics, or 2 years of related industry work experience1 year minimum of industry experience in Machine Learning/ GenAiExperience with deep learning frameworks such as PyTorch, Tensorflow, HuggingfaceExperience 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 KubernetesAbility to effectively communicate technical solutions to technical and business audiences, both verbally and in writingExperience with cloud providers such as AWS and AzurePreferredAdvanced 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 TritonExperience managing end-to-end software development life cycle (version control, CI/CD pipelines, Kubernetes clusters, testing, monitoring & alerting, production support, etc.)Familiarity with machine learning libraries like LangChain, LlamaIndex, Autogen or Crew.aiExperience deploying models into the cloud with tooling like Docker & KubernetesSponsorshipThis position is not eligible for any form of sponsorship now or in the future. Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position.Rewards and BenefitsWith benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including: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.For additional information and details regarding Grainger's benefits, please click on the link below:https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-HireThe pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills.The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above.Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law.About the positionWe are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace.We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment. If you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.J-18808-Ljbffr