Associate Scientist Product Development Jobs in Colorado

An educational platform on tribology — the science of friction, wear and lubrication

Engineers, researchers, students and industry professionals

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?

Gates Corporation is seeking a Product Development AI Engineer to accelerate innovation across our global product portfolio by applying artificial intelligence, machine learning, and advanced analytics to engineering and product development processes.

This role will work at the intersection of engineering, data, and digital technology, partnering with product development teams and GPLM to improve design efficiency, predictive performance modeling, materials optimization, testing automation, and lifecycle management for Gates’ power transmission and fluid power products.

The ideal candidate combines strong AI/ML expertise with an understanding of engineering systems, physical products, and industrial workflows, enabling Gates to move faster from concept to commercialization while improving product performance, reliability, and quality.

• 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.

• Collaborate closely with fluid power and power transmission team, mechanical, materials team, and manufacturing engineers to embed AI solutions into existing product development workflows.
• Integrate AI models with engineering tools such as CAD/CAE, FEA, CFD, PLM, and test lab systems.
• Translate complex physical engineering problems into data-driven and AI-compatible formulations.

• Curate, clean, and structure large datasets from test labs, manufacturing systems, field data, and supplier data.
• Develop data pipelines and feature engineering approaches suitable for industrial-scale ML applications.
• Ensure models are explainable, validated, and usable by non‑data‑science engineering teams.

• Contribute to Gates’ digital product development roadmap, identifying opportunities where AI can deliver measurable business value.
• Prototype and industrialize AI solutions that reduce development cycle time, improve first-pass yield, and lower cost of poor quality.
• Partner with IT, Digital, and Cybersecurity teams to ensure scalable, secure deployment.

• Apply best practices for model lifecycle management, versioning, validation, and documentation.
• Support responsible AI use, including transparency, robustness, and compliance with Gates’ engineering and quality standards.
• Mentor engineers and developers on AI concepts and tools within the product development organization.

• Bachelors in Math, Computer Science, Data Science, Mechanical Engineering, Electrical Engineering, Materials Science, or a related field. Degrees at the Master or PhD level are preferred.Experience
• 5-7+ years of experience applying machine learning or advanced analytics in an engineering, manufacturing, or industrial context
• Demonstrated experience supporting physical product development (as opposed to pure digital products)
• Hands-on experience working with engineering datasets (test data, sensor data, simulation results)

• Strong proficiency in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Experience with data analysis, feature engineering, and model evaluation
• Familiarity with engineering tools and environments (e.g., CAD/CAE, PLM systems, test automation, industrial databases)
• Working knowledge of statistics, optimization techniques, and numerical methods

• Experience in industrial equipment, or advanced manufacturing
• Exposure to physics-informed machine learning, digital twins, or hybrid physics/AI models
• Experience deploying AI solutions in production or regulated engineering environments
• Understanding of materials behavior, tribology, fatigue, thermal systems, or fluid dynamics
• Experience working in Agile or hybrid product development environments

• Strong problem-solving skills with a system-level mindset
• Ability to translate between engineering domain experts and data/AI practitioners
• Clear technical communication and documentation skills
• Curiosity, pragmatism, and a results-driven approach to innovation

• • Full-Time
  • Salary: $115,000-$125,000
  • 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

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.

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.