Lead Machine Learning Engineer - Remote Eligible
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About this role
COMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.

JOB OVERVIEW:
General Mills is looking for a Lead ML Engineer. In this role, you are a technical lead within the AIA team focused on delivering the migration of machine learning-based solutions and agents from concept to production-level operational excellence. You will deliver initiatives such as building scalable, resilient, and automated solutions in GCP, Glean, UnifyApps, and other platforms to ensure that agents and models deliver on organizational objectives. You will professionally engineer solutions, taking into account notions of risk and effective/efficient use of computational resources.
KEY ACCOUNTABILITIES:
As a Lead ML Engineer, you will play a pivotal role in the overall success of high-priority projects including:
Leading complex machine learning and agentic projects involving multiple resources including full accountability for stakeholder management and expectation setting, project scoping and planning, requirements elicitation, and overall project success while adhering to timeline/resource constraints. Crucially, having the ability to provide stakeholders with a range of options for solving a stated business problem is needed.
Playing a key role in investigating, utilizing, and advocating for the use of generative and agentic tools to enhance the effectiveness of your team.
Ability to effectively integrate an AI solution into a larger, complex system potentially comprising many third-party applications within the General Mills ecosystem.
Research and operationalize technology and processes necessary to scale ML models and agentic solutions.
Recommend model changes to optimize cloud spend.
Automate monitoring of models both for failures and degradation.
Automate monitoring of data sources to identify issues and/or data changes.
Automate ML pipelines, logging of model usage, and predictions provided.
Improve ML pipeline documentation and understandability.
Harden code and processes to reduce or prevent failures.
Improve logging and diagnostic processes.
Lead the investigation and resolution of production issues, perform root cause analysis, and recommend changes to reduce/eliminate re-occurrence of issues.
Optimize deployment and change control processes for models.
Create and operationalize quality assurance processes for ML models.
MINIMUM QUALIFICATIONS:
Knowledge of project/program management terminology/concepts and the ability to leverage this knowledge to ensure the success of initiatives.
4+ years professional experience as a software engineer, data scientist, or AI Engineer.
Strong background in statistical modeling including ARIMA, regression, and Random Forest models.
Background in optimization problems is strongly preferred.
Track record of producing machine learning models and agentic solutions at scale.
Strong verbal and written communication skills including the ability to interact effectively with colleagues of varying technical and non-technical abilities.
Passionate about agile software processes, data-driven development, reliability, and systematic experimentation.
Passion for learning new technologies and solving challenging problems.
Bachelors Degree
Comfort working with a Windows computer and Microsoft Office Suite
Comfort working with international partners and potentially flexing your calendar to meet the time zone needs.
PREFERRED QUALIFICATIONS:
Bachelors Degree in Computer Science, Engineering, IT or other related fields
7+ years of related experience as a software engineer, data scientist or AI Engineer
Experience with deep code or custom code agentic frameworks (LangChain or LangGraph)
Experience productionizing Optimization Models
Experience with factory systems
Experience with real-time pipelines
ADDITIONAL CONSIDERATIONS:
We are open to remote employees within the United States with a preference for talent in the Minneapolis market.
International relocation or international remote working arrangements (outside of the US) will not be considered.
Applicants for this position must be currently authorized to work in the United States on a full-time basis. General Mills will not sponsor applicants for this position for work visas.
ELIGIBILITY
Applicants must meet a minimum 18-year age qualification.

EQUAL OPPORTUNITY EMPLOYER (EOE)
General Mills is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, marital or familial status, status regarding public assistance, or membership or activity in a local human rights commission.

REASONABLE ACCOMODATION REQUEST
If you need to request an accommodation during the application or hiring process, please fill out our online accommodation request form by following this link: Accommodation Request.
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