Machine Learning Engineer Jobs in Cleveland, OH (NOW HIRING)

Shape the Future with Us. At Lubrizol, we’re transforming the specialty chemicals market through science, sustainability, and a culture of inclusion. As part of our global team, you’ll be empowered to make a real impact—on your career, your community, and the world around you.

Job Type: Full-time / On-site

Shift + Hours: 1st Shift

Location: Wickliffe, Ohio or Deer Park, Texas

Travel: 20% or less

How You’ll Make an Impact

As an Process Modeling Engineer you'll be at the forefront of our innovation, driving specialty chemical solutions forward. You'll collaborate with a diverse group of passionate individuals to deliver sustainable solutions to advance mobility, improve wellbeing, and enhance modern life.

The Process Modeling Engineer plays a critical role in optimizing and transforming manufacturing performance through advanced process modeling, simulation, and data-driven analysis. This role develops and deploys both physics-based and data-based models to support process design, scale-up, troubleshooting, optimization, and long-term strategic planning. The engineer also leads the creation of modeling standards, training programs, and strategic frameworks that elevate modeling capabilities across the organization.

In this role, you will:

1. Modeling & Technical Execution
•    Develop, validate, and maintain physics-based process models (e.g., heat/mass transfer, reaction kinetics, fluid dynamics, unit operations).
•    Build and apply data-driven models using statistical, machine learning, or hybrid modeling approaches to identify trends, correlations, and optimization opportunities.
•    Conduct steady-state and dynamic simulations for process design, capacity analysis, debottlenecking, and energy efficiency assessments.
•    Support troubleshooting and root cause analysis by using modeling to reproduce plant behavior and test hypotheses.
•    Collaborate with R&D, operations, and process engineering to translate lab/pilot data into full-scale manufacturing models.

2. Standards & Best Practices
•    Develop and maintain modeling standards, documentation practices, and validation protocols to ensure consistency, quality, and sustainability of modeling assets.
•    Establish templates, guidelines, and workflows for physics-based and data-driven modeling across the engineering organization.
•    Lead governance activities to ensure models are used responsibly, accurately, and with defined lifecycle management.

3. Training & Capability Development
•    Design and deliver training programs, workshops, and hands-on sessions for engineers, operators, and technical staff on modeling tools, methodologies, and best practices.
•    Mentor engineering teams on model interpretation, limitations, and appropriate use in decision-making.
•    Help cultivate a culture of data literacy, model-informed design, and digital fluency across the organization.

4. Strategy & Technology Leadership
•    Develop and communicate a strategic roadmap for modeling capabilities, including tool selection, digital technologies, and long-term capability growth.
•    Evaluate and integrate emerging modeling technologies—such as AI/ML, advanced simulation platforms, and digital twin solutions.
•    Collaborate with global engineering and operations leaders to align modeling strategy with broader engineering, manufacturing, and corporate objectives.
•    Provide thought leadership in the areas of advanced analytics, digital process design, and predictive manufacturing.

5. Cross-Functional Collaboration
•    Work closely with manufacturing, quality, R&D, EHS, and supply chain teams to ensure models support operational excellence, process safety, and product quality.
•    Support capital project teams with modeling contributions for feasibility studies, conceptual design, and detailed engineering.
•    Present model results and recommendations to technical and non-technical audiences, including senior leadership.

Required Qualifications that Enable Your Success

• Master’s or PhD in Chemical Engineering, Process Modeling, Computational Methods, or related fields.
• 3+ years of experience in process engineering, process modeling, or advanced analytics within chemical, materials, or related manufacturing industries.
• Strong experience with process simulation tools (e.g., Aspen Plus, Aspen HYSYS, CHEMCAD, gPROMS)
• Experience developing data-driven models using tools like Python, MATLAB, JMP, or machine learning platforms.
• Strong foundation in transport phenomena, thermodynamics, kinetics, and unit operations.
• Proficiency in data analysis, statistics, and visualization.
• Experience with dynamic modeling, digital twins, or real-time optimization is a plus.
• Ability to integrate lab, pilot, and plant data into robust model frameworks.
• Strong communication skills with ability to explain complex modeling results clearly.
• Demonstrated leadership in influencing without authority and driving standards or programs across teams.
• Structured problem-solving, curiosity, and continuous improvement mindset.

Your Work Environment
At Lubrizol, we’re committed to providing a safe, inclusive, and empowering environment where you can do your best work—whether in a lab, on the production floor, or in a hybrid office setting. Depending on your role, your work environment may include:

• Standing, walking, or operating equipment for extended periods
• Working in a lab or manufacturing setting with appropriate PPE provided
• Use of computers and digital tools in an office or hybrid environment
• Occasional lifting or movement of materials
• Adherence to rigorous safety protocols and ergonomic standards

We continuously invest in our facilities and technologies to ensure they support your well-being, productivity, and growth. If you require reasonable accommodation, we are committed to working with you to ensure an inclusive and accessible experience.

Why This Role Matters
This role is an essential driver of manufacturing excellence—helping the organization improve productivity, reduce variability, enhance safety, and accelerate innovation. By advancing both physics- and data-based modeling capabilities, the Process Modeling Engineer plays a key part in the company’s digital transformation and long-term competitivenes 

Benefits that Empower You

• Competitive salary with performance-based bonus plans
• 401(k) match + Age-Weighted Defined Contribution
• Comprehensive medical, dental & vision coverage
• Health Savings Account (HSA)
• Paid holidays, vacation, and parental leave
• Flexible work environment
• Learning and development opportunities
• Career and professional growth
• Inclusive culture and vibrant community engagement
  Learn more at benefits.lubrizol.com!

Lubrizol: Imagined for Life. Enabled by Science. ™ Delivered by You.

For nearly 100 years, The Lubrizol Corporation, a Berkshire Hathaway company, has been at the forefront of innovation to enhance everyday life, advance mobility, and make the modern world work better. Our specialty chemistry solutions—from engine oils, performance coatings, and skincare to medical devices and plumbing systems —are powered by the expertise, passion, and commitment of people like you.

We tackle the world’s toughest challenges with science-based solutions, deeply understanding our customers to deliver innovative chemistry and differentiated value. Our inclusive culture, dedication to safety, and incredible global talent drive our success. Our solutions meet the evolving needs of the modern world—brought to life by science and, most importantly, delivered by you.

Whether you're in the lab, on the production floor, or in the office, you'll be part of a team around the world that empowers you to think boldly, drive results, and contribute to solutions that shape a better, more sustainable future. 

We win because of you. Let’s build the future together.

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