Manager, Applied Machine Learning - 336279

Grainger

Lake Forest (IL)

Híbrido

USD 214.000 - 268.000

Jornada completa

hace 38 horas
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Descripción de la vacante

Grainger in Lake Forest, IL seeks a Manager, Applied Machine Learning to design scalable ML architectures for search, information retrieval, and relevance using Python, Solr, FAISS, and NLP techniques. You will develop and deploy models for ranking and recommendations, leveraging clickstream and catalog data in a hybrid work setting.

Responsibilities include building feature pipelines with SQL, Spark, and Python, developing real-time query suggestions, and deploying models via FastAPI/Flask with

Formación

  • Bachelor's degree in data science, CS, engineering or related field plus 5 years of related experience.
  • Experience designing scalable ML architectures for search and ranking.
  • Experience with NLP for query understanding and search relevance.

Responsabilidades

  • Design scalable machine learning architectures for search, information retrieval, and relevance using Python, Solr, and FAISS.
  • Develop NLP applications for query understanding, classification, and search relevance.
  • Develop and implement ML models for search ranking using clickstream and catalog data.
  • Design feature pipelines using SQL, Python, Spark for ML models.
  • Build real-time typeahead/autocomplete systems from clickstream and behavior data.
  • Deploy ML systems with training, low-latency inference, and monitoring on-premise and cloud.

Conocimientos

Python
NLP
Transformers
Query understanding
Search relevance
Python-based ML
FAISS
APIs

Educación

Bachelor's degree in Data Science/CS/Engineering or related field

Herramientas

FastAPI
Flask
Docker
Kubernetes
Apache Spark
FAISS

Descripción del empleo

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Location: LAKE FOREST, IL, US, 60045-5201

Work Location Type: Hybrid

About Grainger:

W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working® by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award‑winning culture, the Company had 2024 revenue of $17.2 billion across its two business models. In the High‑Touch Solutions segment, Grainger offers approximately 2 million maintenances, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment, Zoro.com offers customers access to more than 14 million products, and MonotaRO.com offers more than 24 million products. For more information, visit www.grainger.com.

W.W. Grainger, Inc. is seeking a Manager, Applied Machine Learning in Lake Forest, IL with the following requirements: Bachelor's degree in Data Science, Computer Science, Engineering or related field plus 5 years of related experience. Will accept any level of experience in the following skills: Design scalable machine learning architectures for search, information retrieval, and relevance using Python, traditional and deep learning methods, Apache Solr, and vector search frameworks such as FAISS; Develop natural language processing applications for query understanding, classification, and search relevance using natural language processing algorithms, techniques, and tools such as FastText, Transformers, and NLTK; Develop and implement machine learning models for search ranking and category prediction using query, clickstream, and product catalog data; Design and implement feature engineering pipelines using clickstream, product catalog, and customer behavioral data with SQL, Python, and Apache Spark to support machine learning models; Design and implement personalized typeahead and autocomplete systems using clickstream, search interaction, and behavioral data to generate real time query suggestions and improve search relevance; Implement and operationalize machine learning systems for search retrieval, ranking, and relevance, including model training, low latency inference, deployment using FastAPI or Flask with Docker and Kubernetes, and monitoring on premises and cloud based platforms.

Compensation: The anticipated base pay range for this position is $214,365 - $268,000 which reflects the potential base pay at the time of this posting. Base pay will depend on factors such as work location, relevant experience, and skills. Grainger reserves the right to amend, modify, or terminate compensation and benefit programs in its sole discretion at any time, consistent with applicable law.

We 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, should 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.

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