ZipRecruiter

Log In

1

Ai In Food Jobs in Minnesota (NOW HIRING)

Compass Group

FOOD SERVICE WORKER

Minneapolis, MN · On-site

$22/hr

The advertised program is an AI recruiting assistant that helps you apply to jobs with Compass ... We believe in nourishing the whole person, creating community through great food and programming ...

Outback Steakhouse

Restaurant Manager

Rochester, MN · On-site

For terms, visit paradox.ai/legal/terms-of-use. Privacy policy can be found at paradox.ai/privacy ... Certification in food safety * Willingness to relocate within the assigned region * Working ...

Outback Steakhouse

Restaurant Manager

Rochester, MN · On-site

For terms, visit paradox.ai/legal/terms-of-use . Privacy policy can be found at paradox.ai/privacy ... Certification in food safety * Willingness to relocate within the assigned region * Working ...

Post Holdings, Inc.

Sr. Director, HR

Hopkins, MN · On-site

$150 - $200/hr

Business Unit Overview Michael Foods, Inc. is a leader in the food processing and distribution ... Lead innovation efforts, including adoption of AI-enabled HR solutions that improve productivity ...

Michael Foods Inc.

Sr. Director, HR

Hopkins, MN · On-site

As a leader in the food manufacturing industry, we believe our success begins with our people. We ... Lead innovation efforts, including adoption of AI-enabled HR solutions that improve productivity ...

Michael Foods Inc.

Sr. Director, HR

Hopkins, MN · On-site

Business Unit Overview Michael Foods, Inc. is a leader in the food processing and distribution ... Lead innovation efforts, including adoption of AI-enabled HR solutions that improve productivity ...

Compass Group

FOOD SERVICE UTILITY

Minneapolis, MN · On-site

$20/hr

The advertised program is an AI recruiting assistant that helps you apply to jobs with Compass ... Flik Independent School Dining has been leading the way in transforming private and independent ...

previous page

Showing results 41-60

All JobsAi In Food JobsAi In Food Jobs in Minnesota

Ai In Food information

What is AI in food?

AI in food refers to the use of artificial intelligence technologies to improve various aspects of the food industry. This includes applications such as optimizing supply chains, predicting consumer preferences, enhancing food safety, and automating processes like sorting, packaging, and quality control. AI can also be used in agriculture to monitor crops, manage resources efficiently, and reduce waste. Overall, AI is helping the food sector become more efficient, sustainable, and responsive to consumer needs.

How does an AI in food specialist typically collaborate with chefs, product developers, and data scientists?

An AI in Food specialist often acts as a bridge between technical teams and culinary experts. You’ll frequently work with chefs to understand flavor profiles and ingredient interactions, while partnering with product developers to integrate AI-driven insights into new food products. Collaboration with data scientists is essential for developing and refining algorithms that analyze vast amounts of food-related data. This multidisciplinary teamwork requires clear communication and adaptability, making it a dynamic and rewarding environment for those who enjoy problem-solving across fields.

What are the key skills and qualifications needed to thrive as an AI specialist in the food industry, and why are they important?

To thrive as an AI Specialist in the Food Industry, you need expertise in data science, machine learning, and food technology, often supported by a degree in computer science, engineering, or a related field. Familiarity with AI tools like TensorFlow, Python programming, and experience with food industry data systems are typically required. Strong analytical thinking, creativity, and effective communication skills help translate technical solutions into actionable strategies for food businesses. These skills are crucial for driving innovation, optimizing processes, and ensuring competitive advantage in the rapidly evolving food sector.

What is the difference between Ai In Food vs Food Scientist?

AspectAi In FoodFood Scientist
Required CredentialsTypically a background in AI, data science, or computer scienceDegree in food science, chemistry, or related field
Work EnvironmentTechnology labs, food manufacturing facilities, R&D centersLaboratories, research facilities, food production sites
Industry UsageApplying AI to optimize food production, quality control, and innovationDeveloping new food products, improving food safety, and quality analysis

Ai In Food professionals focus on integrating artificial intelligence into food industry processes, while Food Scientists work on developing and testing food products. Both roles are essential in modern food technology but differ in their core expertise and daily tasks.

What are popular job titles related to Ai In Food jobs in Minnesota?

For Ai In Food jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Ai In Food jobs in Minnesota look for?

The top searched job categories for Ai In Food jobs in Minnesota are:

What cities in Minnesota are hiring for Ai In Food jobs?

Cities in Minnesota with the most Ai In Food job openings:

Ai In Food jobs near you

Principal D&T Data Scientist

General Mills

Minneapolis, MN • On-site, Remote

Full-time

Medical, Retirement

Re-posted 6 days ago

General Mills rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

69th of 445 rated food and drinks producers

Job description

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:
The Principal Data Scientist position is a senior technical leader who strategizes enterprise-grade AI solutions, spanning agentic AI, NLP, optimization & machine learning, to unlock measurable value across the Supply Chain and aligned domains. By working as a strategic partner to Supply Chain and cross-functional leaders in Product and Engineering, this role translates complex business requirements into rigorously framed analytical problems and robust, production-grade decisioning systems.
The Principal Data Scientist shapes and governs the end-to-end AI architecture and strategic roadmap on a variety of AI platforms, ensuring AI capabilities are secure, scalable, and aligned with General Mills technology strategy. They elevate the broader Data Science community through technical mentorship and leadership in AI/ML best practices that accelerate high-quality solution delivery and responsible AI adoption.
KEY ACCOUNTABILITIES:
  • Lead, design, and execute novel, end-to-end AI solutions and systems that help business partners achieve strategic objectives through advanced analytics, modeling, and optimization, with a primary focus on complex Supply Chain decisioning.
  • Partner with data science leadership, engineering, AI platform teams, and business stakeholders to define, prioritize, and deliver production-grade AI/ML products and services, leveraging best-in-class tools, frameworks, and cloud-native architectures on GCP.
  • Provide technical leadership through strong business partnership, challenging assumptions, offering alternate architectural patterns, and making informed trade-offs between complexity, performance, cost, and long-term maintainability.
  • Lead the reference architecture, design, and implementation of LLMs, NLP, and computer vision-driven solutions, owning patterns for problem framing, data curation, model lifecycle, and integration with core enterprise platforms and applications.
  • Provide technical oversight across core data science methodologies-including statistical, machine learning, and optimization approaches, ensuring method selection, validation, and implementation are rigorous, fit-for-purpose, and consistent with AI standards.
  • Partner closely with AI Leadership, ML Engineering, and business stakeholders to define and evolve the architecture for agentic AI and retrieval-augmented systems, establishing standards, guardrails, and reusable components.
  • Own the creation and operationalization of production-ready, scalable AI platforms, services, and models that provide real-time or near-real-time insights and decisions, fully aligned with General Mills technology standards for security, reliability, observability, and lifecycle management.
  • Provide technical leadership for analytical solution design and experimentation through hypothesis-driven approaches, robust evaluation strategies, and clear error taxonomies, with strong documentation and governance to ensure transparency, reproducibility, and reuse across capabilities.
  • Serve as a key member of the Data Science leadership team, shaping technical strategy, multi-year capability roadmaps, architectural standards, and operating practices that scale AI impact across the enterprise.
  • Coach and develop data scientists and adjacent talent through deep technical reviews and mentoring on advanced AI concepts, domain best practices, and effective use of shared platforms and patterns.
  • Champion Responsible AI by ensuring privacy, security, and governance compliance; proactively identifying and reducing model risks and embedding responsible AI principles into architecture, processes, and user experiences.
  • Act as an internal and external thought leader on AI strategy, architecture, and data science, representing the Digital and Technology organization in forums, communities of practice, and key stakeholder engagements.

MINIMUM QUALIFICATIONS:
  • 10+ years of experience in data science / applied analytics, with ownership of end-to-end solutions from problem framing through production and measurable business impact with at least 3 years in a Principal, Lead, or equivalent senior technical level.
  • Advanced degree in a quantitative field (Data Science, Computer Science, Engineering, Statistics, Math, Operations Research, or related).
  • Strong expertise in core data science methodologies (statistical modeling, machine learning, optimization) and their practical application to complex business problems.
  • Hands-on experience architecting and deploying scalable AI/ML solutions on a major cloud platform (preferably GCP).
  • Proven track record of building and operating production-grade models and decisioning systems at scale, including monitoring, performance management, and lifecycle governance.
  • Demonstrated technical leadership setting technical direction, establishing standards, and influencing architecture and platform decisions.
  • Experience leading complex AI/ML programs across multiple teams, with strong grasp of project/program management fundamentals (roadmaps, prioritization, risk/dependency management).
  • Experience with unstructured data and advanced AI (e.g., LLMs, NLP, computer vision) integrated into business workflows and applications.
  • Strong communication skills, with the ability to clearly explain analytical concepts, results, and trade-offs to both technical and non-technical stakeholders.
  • Proficiency with modern data science engineering practices: version control, code review, testing, CI/CD for models, and agile delivery.
  • Demonstrated ability to mentor and develop other data scientists, leading by example on modeling rigor, experimentation, and documentation.
  • Proven ability to stay current on evolving AI/ML technologies and to anticipate, evaluate, and advocate for appropriate adoption within the enterprise.

PREFERRED QUALIFICATIONS:
  • Deep experience applying data science and AI to Supply Chain domains (e.g., planning, logistics, manufacturing, sourcing).
  • Experience leading solutions that combine traditional modeling (predictive/prescriptive analytics, optimization) with newer paradigms (LLMs, agentic AI, RAG) in production.
  • Exposure to large-scale data processing and modern stack components
  • Evidence of thought leadership in data science (e.g., internal forums, publications, or open-source contributions).

ADDITIONAL CONSIDERATIONS:
  • 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.

SALARY RANGE
The salary range for this position is:
$149,500 - $249,300 Annual
At General Mills we strive for each employee's pay at any point in their career to reflect their experiences performance and skills for their current role. The salary range for this role represents the numerous factors considered in the hiring decisions including, but not limited to, educations, skills, work experience, certifications, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.
Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well-being. We are proud to offer a foundation of health benefits, retirement and financial wellbeing, time off programs, wellbeing support and perks. Benefits may vary by role, country, region, union status, and other employment status factors. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including, individual and organizational performance.
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.

What General Mills employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

General Mills logo

About General Mills

Sourced by ZipRecruiter

General Mills, Inc. manufactures some of the most beloved foods in the world, including Cheerios and Lucky Charms, Nature Valley granola bars, Totino's pizza rolls, and Yoplait yogurt. Blue Buffalo became part of General Mills in 2018, so even your pets love us too.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1928

View All General Mills Jobs

Apply