Lead Machine Learning Engineer - Remote Eligible

通用磨坊股份有限公司•Minneapolis, MN

1d•Remote

About The Position

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.

Requirements

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.

Nice To Haves

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

Responsibilities

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.