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Physics Informed Machine Learning Jobs in Colorado

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional ...

Cymertek

Machine Learning Engineer

Aurora, CO

Machine Learning Engineer LOCATIONAurora, CO 80014 CLEARANCETS/SCI Full Poly (Please note this ... Physics, ect.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional ...

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... Physics, etc. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional ...

Lockheed Martin

$89K - $157K/yr

Electrical Engineering, Computer Science, Computer Engineering, Mathematics, Physics) or equivalent ... Machine Learning, Deep Learning, Computer Vision, or Image Processing • Experience with modern ...

Lockheed Martin

$132K - $234K/yr

Electrical Engineering, Computer Science, Computer Engineering, Mathematics, Physics) or equivalent ... Machine Learning, Deep Learning, Computer Vision, or Image Processing • Experience with modern ...

Toyon

Deep Learning Algorithm Developer

Fort Collins, CO

$100K - $190K/yr

... Machine Learning (ML) techniques. Experience in Reinforcement Learning (RL), Computer Vision, or ... physics, and/or mathematics. Experience with PyTorch, TensorFlow, or other deep learning frameworks ...

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Physics Informed Machine Learning information

What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What is a Physics Informed Machine Learning job?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are popular job titles related to Physics Informed Machine Learning jobs in Colorado? For Physics Informed Machine Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Colorado look for? The top searched job categories for Physics Informed Machine Learning jobs in Colorado are:
What cities in Colorado are hiring for Physics Informed Machine Learning jobs? Cities in Colorado with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you
Product Development AI Engineer

Product Development AI Engineer

Gates Corporation

Englewood, CO • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

Gates Corporation rating

6.4

Company rating: 6.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

357th of 418 rated machine equipment manufacturers

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?

Position Summary

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.

Essential Duties and Responsibilities

AI-Driven Product Development

  • 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.

Engineering & Domain Integration

  • 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.

Advanced Analytics & Data Engineering

  • 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 nondatascience engineering teams.

Digital Transformation & Innovation

  • 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.

Governance & Best Practices

  • 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.
Requirements and Preferred Skills
  • 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)

Technical Skills

  • 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

Preferred Qualifications

  • 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

Key Competencies

  • 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

PAY & BENEFITS

    • 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

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.


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