H-E-B Digital is seeking new team members (Partners)! Since our inception, we've been investing heavily in our customers' digital experience, reinventing how they find inspiration from food, how they make food decisions, and how they ultimately get food into their homes. This is an exciting time to join H-E-B Digital, and we're hiring across the stack: front-end web and mobile, full-stack, and backend engineering. We're using the best available technologies to deliver modern, engaging, reliable, and scalable experiences to meet the needs of our growing audience. Our digital solutions are growing in popularity and adoption--like Curbside and Home Delivery--so you'll get the opportunity to define the user experience for millions of customers and hundreds of thousands of Partners. If you're someone who enjoys taking on new challenges, working in a rapidly changing environment, learning new skills, and applying it all to solve large and impactful business problems, we want you as part of our team.

We are seeking an experienced and dynamic Staff Engineer to help foster innovation in Machine Learning and AI at H-E-B. The ideal candidate will have 5-7 years of hands-on experience as an individual contributor, possessing a strong background in Data Science or AI teams with exposure to MLOps practices. This position offers a unique opportunity to contribute to our innovative approach in Site Reliability Engineering for Machine Learning while collaborating closely with Data Scientists on enterprise projects.

Our Partners thrive The H-E-B Way. As a Staff Engineer, of Data Solutions, Machine Learning Operations, you have a...
HEART FOR PEOPLE... you have a passion for mentorship and guidance, and love for the direct person-to-person interactions that create strong bonds between teams
HEAD FOR BUSINESS... you have an ownership mentality and a consistent track record of timely delivery of high-quality software
PASSION FOR RESULTS... the ability to guide the discussion, remove roadblocks, and provide guardrails for your team as they identify challenges and propose solutions

What You'll Do

• •  Lead technical innovation for the MLOps team and help progress the Machine Learning practice at H-E-B.
• Collaborate with Data Scientists and other teams to provide support for technical initiatives.
• Drive the implementation and optimization of MLOps practices to ensure seamless integration of machine learning models into production environments.
• Oversee the end-to-end ML lifecycle, including data preprocessing, feature engineering, model training, validation, and deployment.
• Utilize your expertise in ML concepts (supervised, unsupervised, semi-supervised, and reinforcement learning) to guide the team's technical decisions.
• Ensure the team's cloud expertise by leveraging 3-5 years of experience with AWS (preferred), Azure, and/or Google Cloud Platform (GCP).
• Collaborate with cross-functional teams to establish best practices, standards, and continuous improvement processes.

Who You Are

• Bachelor’s degree in computer science, Data Science, Engineering, or related field (advanced degree preferred).
• 5-7 years of experience in Machine Learning/AI as an individual contributor.
• Strong understanding of Site Reliability Engineering (SRE) principles and their application in machine learning contexts.
• Proficiency in cloud platforms, with hands-on experience in AWS, Azure, and/or GCP.
• Deep understanding of machine learning concepts including supervised, unsupervised, semi-supervised, and reinforcement learning.
• Proven track record of successfully deploying machine learning models into production environments.
• Strong grasp of the end-to-end ML process including data preprocessing, feature engineering, model training, validation, and deployment.
• Excellent communication skills with the ability to collaborate effectively across technical and non-technical teams.
• Experience in mentoring junior engineers to help grow their technical skills.
• Strong problem-solving skills and ability to adapt to a fast-paced, evolving environment.