ARE YOU A CURRENT US FOODS EMPLOYEE? PLEASE APPLY DIRECTLY THROUGH OUR INTERNAL WORKDAY CAREER SITE

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The Principal Machine Learning Engineer (PMLE) will serve as a key technical leader within US Foods’ Machine Learning Operations team and will help drive our advancements in AI and Generative AI. They will provide thought leadership across our Analytics & Data Science organization and work closely with ML Engineers, Data Scientists, and business leaders to design, develop, and deploy industry-leading AI solutions.
Recognized as an ML expert, the Principal ML Engineer will collaborate with the Principal Data Scientist to establish and enforce best practices to ensure consistency and scalability of our models and applications our sellers, merchandisers and customers depend on.
The Principal Machine Learning Engineer will play a critical role in bridging the gap between the development and deployment of ML models, ensuring an efficient transition from lab to production. The Principal ML Engineer will also guide our ML Ops team in building and automating ML CI/CD pipelines, containerizing models, orchestrating workflows, and monitoring production workloads.
This position is virtual/remote which means the work can be completed from anywhere in the United States except Hawaii or United States Territories.

This position is eligible for a 30% above base bonus potential as well as Long Term Incentive annually.

This position is virtual/remote which means the work can be completed from anywhere in the United States except Hawaii or United States Territories.

RESPONSIBILITIES

Oversee development and deployment of ML pipelines and infrastructure, including applications of Large Language Models (LLMs) and Generative AI
Stay current on state-of-the-art methods and technologies; identify opportunities for innovation that pushes limits and helps drive step-change in our growth, productivity, and customer experience
Mentor and develop our ML Ops and Engineering talent while leveling-up our ML production capabilities
Lead cross-functional teams in breakthrough AI/ML innovations
Collaborate with ML Ops and Data Science teams, Digital and Technology teams, and business stakeholders
Other duties as assigned by manager

SUPERVISION:

RELATIONSHIPS

Internal: ML Team (Sr ML Engineers, Lead ML Engineers, Directors), Product Management Team, Data Science Team, CX/UX team
External: Managed services and support team

WORK ENVIRONMENT

External: Managed services and support team

MINIMUM QUALIFICATIONS

Must possess a minimum of 5+ years of experience with ML frameworks (e.g. scikit-learn, TensorFlow, PyTorch), cloud computing, data processing, API development, ML Ops, CI/CD pipelines, container orchestration, and coding languages
Must possess a minimum of 5+ years of experience with Agile/Scrum, version control (Git), SQL/NoSQL, orchestration tools (Airflow/Dagster), and serverless technologies
Hands-on experience with LLMs and Generative AI including a proven track record delivering projects from conception to production
Deep understanding of ML and Deep Learning algorithms, ML system design and architecture, model development lifecycle, and distributed computing
Experience with experimentation, A/B tests, and causal inference
Exceptional problem-solving, analytical, and communication skills with the ability to present effectively to cross-functional stakeholders and senior leadership
Up 5% travel required

EDUCATION

External: Managed services and support team

CERTIFICATIONS/TRAINING

External: Managed services and support team

LICENSES

External: Managed services and support team

PREFERRED QUALIFICATIONS

PhD preferred
AWS cloud computing preferred
Python coding language preferred

The following information is provided in accordance with certain state and local laws. Compensation depends on experience, geographic locations, and other factors permitted by law. In California, the expected compensation for this role is between $132,200.00 and $263,000.00. In Connecticut, the expected compensation for this role is between $149,900.00 and $263,000.00. In Colorado, the expected compensation for this role is between $141,800.00 and $236,300.00. In Maryland, the expected compensation for this role is between $141,800.00 and $236,300.00. In Minnesota, the expected compensation for this role is between $132,600.00 and $221,000.00. In New York, the expected compensation for this role is between $132,600.00 and $263,000.00. In Rhode Island, the expected compensation for this role is between $141,800.00 and $236,300.00. In Washington, the expected compensation for this role is between $149,900.00 and $249,900.00.

This role is also eligible for Benefits for this role include annual bonus of up to 30% above base salary, long term incentive, health insurance, pre-tax spending accounts, retirement benefits, paid time off, short-term and long-term disability, employee stock purchase plan, and life insurance. To review available benefits, please click here: https://www.usfoods.com/careers/benefits.html.

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