This is a remote position open to candidates located within the United States.

What you will do

We are looking for a seasoned Machine Learning Engineer with strong leadership capabilities to join the Connected Services AIML team as a Technical Lead. In this role, you will architect and implement algorithmic solutions that power our industrial IoT platform, while guiding a team of engineers and scientists to deliver high-impact, production-grade systems.

How you will do it

Design and deploy models for predictive maintenance, anomaly detection, asset optimization, and time-series forecasting.
Work with large-scale sensor data from connected devices.
Develop robust data pipelines and real-time inference systems integrated with edge and cloud infrastructure.
Lead the end-to-end technical execution of ML projects, from ideation to deployment.
Mentor and support a team of ML and software engineers by defining and enforcing best practices in model development, testing, and deployment. Partner with product managers and domain experts to align technical solutions with business goals.

What we look for

Required

Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, or a related field.
5+ years of experience in machine learning and software engineering.
Proven experience leading technical teams or projects in a production environment.

Solid understanding of core machine learning and AI algorithms, including supervised and unsupervised learning, classification, regression, clustering, and deep learning techniques.
Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn), SQL and cloud platforms.
Experience with time-series data
Excellent communication and cross-functional collaboration skills.

Preferred

Advanced degree in Computer Science, Electrical Engineering, Statistics, or a related field.
Experience in industrial sectors.
Knowledge of MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes). Experience with one or more of signal processing, edge computing and physics-informed ML models.

For residents of New York City, New York, California, and Washington state only, as required under applicable pay transparency laws, the expected salary range for this position if filled remotely is $140,000-$180,000. Pay is determined based on a variety of factors including, but not limited to, depth of experience in the practice area. Employees are eligible to participate in Clarios’ variable pay program, subject to the program’s conditions and restrictions.

What you get:

Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire
Tuition reimbursement, perks, and discounts
Parental and caregiver leave programs
All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, Employee Assistance Program, and domestic partner benefits
Global market strength and worldwide market share leadership
HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility
Clarios has been recognized as one of 2025's Most Ethical Companies by Ethisphere. This prestigious recognition marks the third consecutive year Clarios has received this distinction.

Who we are:
Clarios is the force behind the world’s most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we’re not just making batteries; we’re shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities.

Veterans/Military Spouses:
We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics.

We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing Special.Accommodations@Clarios.com . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law.

A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process.

To all recruitment agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.

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Machine Learning Engineer - Technical Lead

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