ARE YOU A CURRENT US FOODS EMPLOYEE? PLEASE APPLY DIRECTLY THROUGH OUR INTERNAL WORKDAY CAREER SITE
Join Our Community of Food People!
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.
#LI-EC1
#AC
Compensation depends on relevant experience and/or education, specific skills, function, geographic location, and other factors as applicable by law (for example: state minimum wage thresholds). The expected base rate for this role is between
$125,000 - $215,000***EOE – Race/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/Age/Genetic Information/Protected Veteran/Disability Status***
Similar Jobs
What We Do
US Foods is one of America’s great food companies and a leading foodservice distributor, partnering with approximately 300,000 restaurants and foodservice operators to help their businesses succeed.
With 28,000 associates and more than 70 locations, US Foods provides its customers with a broad and innovative food offering and a comprehensive suite of e-commerce, technology and business solutions.
US Foods is headquartered in Rosemont, IL, and generates more than $28 billion in annual revenue. Visit usfoods.com to learn more.
------------
Rules of Engagement Statement:
We are proud to support community engagement on the US Foods LinkedIn page, and we're excited to see your comments, photos and videos. Please note that the views expressed by the community do not necessarily reflect those of US Foods.
Before posting, please take a moment to read our rules for community content. We reserve the right to remove content that violates these rules.
1. Don't break the law. Content that appears to break the law or that advocates for breaking the law also is not permitted.
2. Be polite and courteous to everyone, even those you disagree with. This also means you may not post anything that is threatening, harassing, abusive, bullying, discriminatory, profane, sexually explicit, obscene, violent, gruesome, or similarly objectionable.
3. Stay on topic for this community and dialogue. Off-topic content may include but is not limited to irrelevant or out of context material, spam, promotional content, and links to third-party sites.
4. Follow LinkedIn's Terms and Conditions.
5. All posts must be by a real person and from a real profile. Content from fake or anonymous profiles is not permitted.
6. Our employees must also follow all of our applicable policies and guidelines, including but not limited to our Code of Conduct and Electronic Social Networking Policy
