Lead Machine Learning Engineer - Remote Eligible

Job DutiesCOMPANY OVERVIEWWe 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 Millsis looking for aLeadMLEngineer. In this role, you are atechnicalleadwithintheAIA teamfocused ondeliveringthe migration ofmachine learning-based solutionsand agentsfromconcepttoproduction-level operationalexcellence. You willdeliverinitiativessuch asbuilding scalable, resilient, and automated solutions in GCP, Glean, Unify Apps, and other platformsto ensure thatagents and modelsdeliver on organizational objectives. You will professionallyengineer solutions, taking into account notions ofriskandeffective/efficient use ofcomputational resources. KEY ACCOUNTABILITIES:Asa LeadMLEngineer, you will play a pivotal role in theoverall success ofhigh-priority projects including:Leadingcomplex machine learning and agentic projectsinvolvingmultiple resourcesincludingfull accountability for stakeholder managementand expectation setting, project scoping and planning, requirements elicitation, andoverall project successwhile adhering to timeline/resource constraints. Crucially, having the ability to provide stakeholders with a range of options for solving a stated business problemis needed. Playingakey role in investigating, utilizing, and advocatingfor the use of generative and agentic tools to enhance the effectivenessof your team. Abilitytoeffectivelyintegrate an AI solution into a larger, complex system potentially comprising manythird-partyapplicationswithin the General Mills ecosystem. Research and operationalize technologyand processesnecessary to scale ML modelsand agentic solutions. Recommend model changes to optimize cloud spend. Automate monitoring of models both for failures anddegradation. Automate monitoring of data sources to identify issues and/ordata 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 resolutionofproduction 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 ofproject/program management terminology/concepts and the ability to leverage this knowledge to ensurethe success of initiatives.4+years professional experience as a software engineer, data scientist, or AI Engineer. Strong background in statistical modeling includingARIMA, regression, and Random Forest models. Background in optimization problems is strongly preferred. Track record of producing machine learning models andagentic solutionsat 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 systematicexperimentation. 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 (Lang Chain or Lang Graph)Experience productionizing Optimization Models Experience with factory systems Experience with real-time pipelinesADDITIONAL 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. ELIGIBILITYApplicants 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 REQUESTIf 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. General Mills is an Equal Employment Opportunity Employer. Women, minorities, veterans and individuals with disabilities are encouraged to apply to any General Mills employment opportunities. Minimum Education Required Bachelor Degree Minimum Experience Required 4 - 20 years Shift First (Day)Number of Openings 1 Public Transportation Accessible Yes Veterans Encouraged to Apply NoPhysical Required Yes Drug Test Required Yes Compensation$11.41 / Hourly Postal Code 55426 Job Type Full Time Place of Work On-site Requisition ID10128915 Job Benefits Not specified