Principal Machine Learning Engineer (100% Virtual/Remote)

US Foods; Rosemont (IL); Remote; USD 100,000 - 160,000; Full time

Job summary

An established industry player is seeking a Principal Machine Learning Engineer to lead advancements in AI and Generative AI. This pivotal role will involve collaborating with cross-functional teams to design, develop, and deploy cutting-edge AI solutions. You will leverage your expertise in machine learning frameworks, cloud computing, and data processing to mentor talent and drive innovation. The position offers a dynamic environment where your contributions will significantly impact the growth and productivity of the organization. If you are passionate about AI and eager to make a difference in a thriving company, this opportunity is perfect for you.

Benefits

Annual bonus up to 30%

Long-term incentive

Health insurance

Pre-tax spending accounts

Retirement benefits

Paid time off

Short-term and long-term disability

Employee stock purchase plan

Life insurance

Qualifications

• 5+ years of experience with ML frameworks and cloud computing.
• Hands-on experience with LLMs and Generative AI.
• Exceptional problem-solving and communication skills.

Responsibilities

• Oversee development and deployment of ML pipelines and infrastructure.
• Mentor and develop ML Ops and Engineering talent.
• Lead cross-functional teams in AI/ML innovations.

Skills

Machine Learning frameworks

Cloud computing

Data processing

API development

ML Ops

CI/CD pipelines

Container orchestration

Agile/Scrum

Version control (Git)

SQL/NoSQL

Orchestration tools (Airflow/Dagster)

Serverless technologies

Problem-solving

Analytical skills

Communication skills

Education

PhD

Tools

scikit-learn

TensorFlow

PyTorch

AWS

Python

Job description

Principal Machine Learning Engineer (100% Virtual/Remote)

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.

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

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.

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 to 5% travel required.

PREFERRED QUALIFICATIONS

• PhD preferred.
• AWS cloud computing preferred.
• Python coding language preferred.

This role is also eligible for Benefits including 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.

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 employees 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