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
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
CERTIFICATIONS/TRAINING
LICENSES
PREFERRED QUALIFICATIONS
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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