2027 Rotational Engineer - AI

Gates Corporation; Englewood (CO); On-site; USD 73,000 - 78,000; Full time

Benefits offered by this job

Sign-On Eligible

Relocation provided

Medical, Dental, Vision insurance

Job summary

Gates Corporation in Colorado is seeking a Rotational AI Engineer for the 2027 class to accelerate innovation across our global product portfolio by applying AI, ML, and advanced analytics to engineering and product development.

This rotational role will work at the intersection of engineering, data, and digital technology, partnering with product, process, and materials development teams to optimize design efficiency, predictive performance modeling, and testing automation for Gates' power

Qualifications

• Internship or Co-Op experience in applying machine learning or advanced analytics.
• Excellent communication (verbal and written), ability to work as a contributing member of a fast-paced engineering team
• Positive attitude and strong desire to learn
• Prior experience using AI/ML software
• Understanding of engineering systems and physical products
• Exhibits Gates values in all actions and decisions
• Global mindset and ability to thrive in a diverse culture and environment

Responsibilities

• Design, develop, and deploy AI/ML models to support product design, simulation, testing, and validation activities.
• Apply machine learning techniques to predict product performance, durability, and failure modes using historical test, field, and simulation data.
• Develop AI-enabled tools for design optimization, including automated parameter tuning, materials selection, and geometry optimization

Skills

AI/ML

Data Science

Machine Learning

Education

Bachelor's/Master's in Data Science/Math/CS

Tools

AI/ML software

Job description

Are you inspired by challenging the status quo? Do you thrive in collaborative environments that drive results? If so, Gates could be for you.

Gates is a leading manufacturer of application-specific fluid power and power transmission solutions. We push the boundaries of material science to engineer solutions that continually exceed customer expectations.

Let's simplify it, think belts and hoses. Found in motorcycles, conveyor belts, cars, tractors, blenders, vacuum cleaners, bicycles, & 3D printers just to name a few. Because why not do it all?

Essential Duties and Responsibilities

Gates Corporation is seeking Rotational AI Engineers for the 2027 class to accelerate innovation across our global product portfolio by applying artificial intelligence, machine learning, and advanced analytics to engineering and product development processes.

This rotational engineer will work at the intersection of engineering, data, and digital technology, partnering with product, process, and materials development teams to optimize design efficiency, predictive performance modeling, and testing automation for Gates' power transmission and fluid power products.

The rotational assignments will take place through the different functional contributors of the Gates Eco-InnovationTM system.

• Design, develop, and deploy AI/ML models to support product design, simulation, testing, and validation activities.
• Apply machine learning techniques to predict product performance, durability, and failure modes using historical test, field, and simulation data.
• Develop AI-enabled tools for design optimization, including automated parameter tuning, materials selection, and geometry optimization.

Keys to Success

• Internship or Co-Op experience in applying machine learning or advanced analytics.
• Excellent communication (verbal and written), ability to work as a contributing member of a fast-paced engineering team
• Positive attitude and strong desire to learn
• Prior experience using AI/ML software
• Understanding of engineering systems and physical products
• Exhibits the Gates values in all actions and decisions (Values can be found athttps://www.gates.com/us/en/about-us/company-overview.html)
• Global mindset and the ability to thrive in a diverse culture and environment

Supervisory Responsibilities

• None
• No supervisory responsibilities; accountable for own contribution

Requirements and Preferred Skills

* Must be a current B.S. or M.S. in Data Science, Math, or Computer Science with an expected Graduation date between December 2026 and June 2027

* Must be legally authorized to work in the United States without sponsorship

Pay & Benefits

• Full-Time
• Salary range: $72,500-$ 77,500
• Sign-On Eligible
• Relocation is provided
• Medical, Dental, Vision insurance and other voluntary benefit options: benefits begin on the first day of the month immediately following your date of hire
• Eligible for 3 weeks of paid vacation + 11 holidays (9 scheduled & 2 floating) + 8 sick days. All vacation days are accrued
• 401(k): 3% company contribution and additional 3% company match
• Tuition Reimbursement

Why Gates?

Founded in 1911 in Denver, Colorado, Gates is publicly traded on the NYSE. While we might operate in a vast amount of time zones we operate as 'One Gates' and have a common goal of pushing the boundaries of materials science. We invest in our people, bringing real-world experience that enables us to solve our customers' diverse challenges of today and anticipate those of tomorrow.

Work Environment

Gates is an Equal Opportunity and is committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job‑related reasons regardless of race, sex, color, religion, age, disability, pregnancy, citizenship, sexual orientation, gender identity, national origin, protected veteran status, genetic information, marital status, or any other consideration defined by law. While performing the duties of this job, the employee is frequently required to sit; use hands and fingers to work with objects, tools, or controls; and use office equipment including computers, telephones, and/or copiers/scanners. The employee must frequently lift and/or move up to 10 pounds. For individuals assigned and/or hired to work in Colorado, Gates is required by law to include a reasonable estimate of the compensation for this role. This compensation range is specific to the State of Colorado and takes into account various factors that are considered in making compensation decisions, including but not limited to the candidate's relevant experience, qualifications, skills, competencies, and proficiency for the role.