Staff Machine Learning Engineer
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Job Location:
New York City, NY - USA
Monthly Salary:
$ 157440 - 216480
Posted on:
14 days ago
Vacancies:
1 Vacancy
Job Summary
Dreaming big is in our DNA. Its who we are as a company. Its our culture. Its our heritage. And more than ever its our future. A future where were always looking forward. Always serving up new ways to meet lifes 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: $157440 - $216480 bonus and long-term incentive eligible
COMPANY:
Michelob ULTRA. Cutwater Spirits. Budweiser. Kona Brewing Co. Stella Artois. Bud Light. Thats right over 100 of Americas most loved brands to be exact. But therespeople 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 InBevs global technology strategy driving innovation across commercial investment logistics brewing and personalization domains.
Anheuser-Busch InBev is the worlds 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 leadershipespecially in areas where traditional approaches have reached their limits and new paradigms such as graph neural networks and generative AI are .
You will lead the design and implementation of foundational AI infrastructure and applications upskill and mentor teams and directly impact the companys 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 optimize brewing operations including hydraulic flow and process digitization.
Commercial Optimization: Demonstrated ability to optimize commercial investment decisions by recommending high ROI investment opportunities vs cutting low impact ones as measured via custom hierarchical regression modeling. Preferably demonstrated history of helping scale these systems so we can take it globally and computationally scale so we can add compute such as cannibalization connections while managing compute.
Personalization and Recommendation Systems: Lead the transformation of sales and marketing personalization engines applying advanced ML and recommendation system techniques tailored to the beverage industry.
Mentorship & Technical Leadership: Mentor and upskill data scientists ML engineers and backend developers fostering a culture of scientific rigor code quality and innovation.
Collaborate Across Functions: Work closely with commercial logistics and IT stakeholders to translate business problems into actionable AI solutions.
Advance the State of the Art: Contribute to the broader AI/ML community through research open-source contributions and thought leadership.
JOB QUALIFICATIONS:
Minimum of 10 years of experience in machine learning data science or AI engineering with demonstrated impact at scale in both industry and/or academia.
Proven track record of architecting and deploying large-scale ML systems in commercial logistics or operational domains.
Deep proficiency in Python and modern ML frameworks (PyTorch TensorFlow) with strong software engineering fundamentals (C distributed systems).
Experience leading teams mentoring engineers and driving cross-functional initiatives.
Demonstrated ability to bridge research and production delivering measurable business impact.
Knowledge of cloud platforms CI/CD and scalable data infrastructure (Kubernetes Docker etc.) is a plus.
Preferred Qualifications
Published research or open-source contributions in graph neural networks generative AI or large-scale ML systems.
Strong communication skills with the ability to influence and inspire technical and non-technical stakeholders
WHY ANHEUSER-BUSCH:
At Anheuser-Busch our purpose is to create a future with more cheers. For more than 165 years we have delivered a legacy of brewing great-tasting high-quality beers that have satisfied beer drinkers for generations. 99 percent of the products we sell in the U.S are made in the U.S. with more than $700 million in high-quality ingredients sourced from American farmers and more than $7 billion in goods and services purchased from U.S. suppliers and we have invested nearly $2 billion in our 100 facilities across the country over the past five years. Through these investments and as a leading American manufacturer and the nations top brewer we drive economic prosperity nationwide through investments in our people facilities and communities. We are the only brewer that invests in the U.S. at this scale.
BENEFITS:
Health benefits including Medical Dental Vision Wellness and Tax-Advantaged Savings and Spending Accounts
Life Insurance and Disability Income Protection
Generous Parental Leave and FMLA policies
401(k) Retirement Savings options with a company matching contribution
Chance to work in a fast-paced environment among a company of owners
Free Beer!
Required Experience:
Staff IC
Key Skills
- Computer Science
- Docker
- Kubernetes
- Python
- VMware
- C/C++
- Go
- System Architecture
- gRPC
- OS Kernels
- Perl
- Distributed Systems
About Company
America's best-loved brewery and beers, creating stronger communities and meaningful moments for over 165 years. Bringing people together for a Future with More Cheers.
