Staff Machine Learning Engineer

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?

SALARY: $157,440 - $216,480, bonus and long-term incentive eligible

COMPANY:  
Michelob ULTRA. Cutwater Spirits. Budweiser. Kona Brewing Co. Stella Artois. Bud Light. That’s right, over 100 of America’s most loved brands, to be exact. But there’s so much more to us than our top-notch portfolio of beers, seltzers, and more. We are powered by a 19,000-strong team that shares our passion to create a future with more cheers. We look for people with talent, curiosity, and commitment and provide the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? 

ROLE SUMMARY:

We are seeking a visionary Staff Machine Learning Engineer to architect, lead, and scale next-generation machine learning systems with a focus on graph neural networks (GNNs), generative AI, and advanced optimization for commercial, logistics, and operational excellence. The ideal candidate will possess deep expertise in both the science and engineering of modern AI, with a proven track record of building, deploying, and maintaining critical infrastructure and applications that transform business outcomes at scale. This role is pivotal in shaping Anheuser-Busch InBev’s global technology strategy, driving innovation across commercial investment, logistics, brewing, and personalization domains. 

Anheuser-Busch InBev is the world’s leading beer company, uniting US and Global tech organizations to automate and optimize commercial planning, logistics, and execution. We are prioritizing engineering and scientific excellence to build a more tech-forward future. This role is a cornerstone of our global tech org, filling a critical gap in advanced machine learning leadership—especially in areas where traditional approaches have reached their limits and new paradigms such as graph neural networks and generative AI are required. 

You will lead the design and implementation of foundational AI infrastructure and applications, upskill and mentor teams, and directly impact the company’s ability to optimize investments, logistics, brewing operations, and customer personalization at a global scale. 

JOB RESPONSIBILITIES: 

• Architect and Lead Advanced ML Systems: Design, build, and maintain scalable, production-grade machine learning infrastructure, with a focus on graph neural networks, generative AI, and custom optimization algorithms. 

• Drive Innovation in Commercial Optimization: Lead the development of advanced models for investment optimization, including cannibalization detection and revenue lift estimation, leveraging graphical and causal inference techniques. 

• Logistics and Operations Optimization: Modernize and optimize logistics, routing, and forecasting systems using GNNs and state-of-the-art ML frameworks (e.g., DGL, PyTorch Geometric). 

• Brewing Process Optimization: Pioneer the use of AI and graph-based models to optim