Machine Learning Engineer, Digital Products

Description

Who is USP?

The U.S. Pharmacopeial Convention (USP) USP is an independent scientific organization that collaborates with the world's top experts in health and science to develop quality standards for medicines, dietary supplements, and food ingredients. USP's fundamental belief that Equity = Excellence manifests in our core value of Passion for Quality through our more than 1,100 talented professionals across five global locations to deliver the mission to strengthen the supply of safe, quality medicines and supplements worldwide.

Brief Job Overview

The Digital product engineering team at USP is seeking a ML Engineer with expertise in building robust Data/ML pipelines, managing large-scale data infrastructure, and enabling advanced analytics capabilities. This role is critical to supporting projects that align with our mission to protect patient safety and improve the health of people around the world. We are looking for a professional who understands the value of clean, accessible, and well-organized data, and who enjoys designing systems that empower data scientists, analysts, and business stakeholders to derive actionable insights. The ideal candidate will be passionate about data architecture, cloud technologies, and scalable engineering solutions that drive innovation and impact.

How will YOU create impact here at USP?

The position's purpose should provide a high-level overview of why the position exists and briefly identify the most critical priorities of the position. This is an opportunity to highlight any features or duties of the role related explicitly to the Diversity, Equity, Inclusion & Belonging work of the Department.

• Implement scalable data collection, storage, and processing ML pipelines to support enterprise-wide data needs.
• Build and optimize data models and data pipelines to support self-service analytics and reporting tools such as Tableau, Looker, and Power BI.
• Collaborate with data scientists to operationalize machine learning models by integrating them into production data pipelines and ensuring scalability and performance.
  
  

Who USP is Looking For?

The Successful Candidate Will Have a Demonstrated Understanding Of Our Mission, Commitment To Excellence Through Inclusive And Equitable Behaviors And Practices, Ability To Quickly Build Credibility With Stakeholders, Along With The Following Competencies And Experience

• Build and maintain data pipelines for structured, semi‑structured, and unstructured data.
• Support ETL/ELT workflows and data ingestion using batch, streaming, and API‑based approaches.
• Develop and optimize data processing jobs using Python and distributed frameworks.
• Participate in building, training, and deploying machine learning models and data‑driven applications.
• Create dashboards and visualizations to support analytics and business reporting.
• Assist in deploying data and ML workloads to cloud environments following best practices.
• Collaborate with senior engineers and cross‑functional teams to understand requirements and deliver solutions.
• Write clean, maintainable, and well‑documented code; participate in code reviews.
• Continuously learn and apply best practices in data engineering, ML engineering, and MLOps.
  
  

Education

Bachelor’s degree in relevant field (e.g. Engineering, Analytics or Data Science, Computer Science, Statistics) or equivalent experience.

Additional Desired Preferences

• Strong communication skills required: Verbal, written, and interpersonal
• Introductory knowledge of GenAI / LLM concepts (prompting, embeddings, RAG basics) is a plus.
• Academic or personal projects involving dashboards, analytics, ML models, or cloud deployments.
• Familiarity with data lakes or warehouses (AWS S3, Redshift, Snowflake, Delta Lake).
• Basic experience building APIs using FastAPI, Flask, or Django.
  
  

Supervisory Responsibilities

No

Benefits

USP provides you with the benefits you need to protect yourself and your family today and tomorrow. From company-paid time off, comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial wellbeing is protected.

USP is proud to be an equal employment opportunity employer (EEOE) and affirmative action employer. We are committed to creating an inclusive environment in all aspects of our work—from the standards we make to the partnerships and conversations we cultivate. An environment where every employee feels fully empowered and valued irrespective of, but not limited to, personality, race, ethnicity, physical and mental abilities, education, religion, gender identity and expression, life experience, sexual orientation, country of origin, regional differences, work experience, and family status. We are committed to working with and providing reasonable accommodation to individuals with disabilities.

Note: USP does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with USP.

Job Category Information Technology

Job Type Full-Time