Machine Learning Engineer
Are you interested in an exciting opportunity to drive success with data? The Data Science & Analytics group at the Goodyear does just that. Since its inception, the group’s project portfolio continues to grow and includes areas of tire intelligence, tire manufacturing, operations, and tire technology.
Our diverse group works together with other digital teams to develop innovative solutions for simulating, modeling and analyzing complex processes. If you like deriving insights from data to drive new business opportunities, then you will enjoy the challenge of working with our Tire Intelligence team.
The opportunity
As an ML Engineer, you will be responsible for the deployment of our core data science and AI models into our Global Mobility Solution platform.
On this position you will:
Contribute to the building of our ML Operations platform
Support model deployment into Production platforms, ensuring effective model management (artifact versioning, serving, inference pipelines, production integration)
Support monitoring, logging, and observability to ensure system reliability and performance.
Build and manage containerized deployment environments.
Evaluate and integrate cloud-native services, distributed computing frameworks, and infrastructure automation tools.
Collaborate with data scientists, cloud engineers and data engineers to support, troubleshoot, and optimize AI models productionalization.
Transform proof-of-concept models into production-ready solutions and deploy them at scale
Build model performance benchmarking, evaluation and monitoring capabilities.
To join our team, you will need:
Education:
Bachelor degree in Computer Science,
Master preferred
Languages:
You are fluent in English.
Experience:
3+ years of experience in deploying, monitoring and maintaining machine learning models in cloud environments
Skills & Qualifications:
Demonstrated experience with:
Cloud platform technology (AWS, Terraform, Kubernetes, ...)
Machine Learning lifecycle (MLOps)
Software engineering tools and practices (Python, Git, Unit testing, CI/CD principles)
Linux-based systems, containerization, and workflow orchestration (Linux, Bash, Docker, Airflow, ...)
Data storage, ingestion, and processing technologies (SQL, NoSQL, data lakes, object storage, batch and streaming pipelines)
Deployment of production-level software
Strong understanding of software development lifecycle and best practices.
Good problem-solving skills and attention to detail.
Must be able to function independently as well as work in a collaborative team environment.
Willingness to learn new technologies.
Goodyear is one of the world's largest tire companies. It employs about 63,000 people and manufactures its products in 48 facilities in 19 countries around the world. Its two Innovation Centers in Akron, Ohio, and Colmar-Berg, Luxembourg, strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to www.goodyear.com/corporate
Goodyear is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by law.
Skills Required
- Bachelor's degree in Computer Science
- Master's degree in Computer Science
- Fluent in English
- 3+ years deploying, monitoring, and maintaining machine learning models in cloud environments
- Experience with AWS
- Experience with Terraform
- Experience with Kubernetes
- Experience with MLOps and ML lifecycle tooling
- Proficiency in Python
- Experience with Git
- Unit testing and CI/CD principles
- Familiarity with Linux and Bash
- Containerization with Docker
- Experience with Airflow (workflow orchestration)
- Experience with SQL
- Experience with NoSQL
- Familiarity with data lakes and object storage
- Experience building batch and streaming data pipelines
- Experience deploying production-level software and managing model serving
- Strong understanding of software development lifecycle and best practices
- Good problem-solving skills and attention to detail
- Ability to function independently and work collaboratively in a team
- Willingness to learn new technologies
The Goodyear Tire & Rubber Company Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Goodyear Tire & Rubber Company and has not been reviewed or approved by The Goodyear Tire & Rubber Company.
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Retirement Support — Retirement benefits include a 401(k) with company match, and some materials describe automatic contributions and matching that can meaningfully boost savings.
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Healthcare Strength — Core coverage commonly spans medical, prescription, dental and vision, paired with wellness resources such as the GoodLife program and an EAP.
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Leave & Time Off Breadth — Time-off provisions typically include paid vacation, holidays, and sick time, with family medical leave and adoption assistance highlighted in benefits descriptions.
The Goodyear Tire & Rubber Company Insights
What We Do
Goodyear is one of the world's largest tire companies. It employs about 72,000 people and manufactures its products in 57 facilities in 23 countries around the world. Its two Innovation Centers in Akron, Ohio, and Colmar-Berg, Luxembourg, strive to develop state-of-the-art products and services that set the technology and performance standard for the industry.
