Principal Machine Learning Engineer (100% Virtual/Remote)

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:

• N/A

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

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. 

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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***EOE Race/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/Protected Veteran/Disability Status***