This is a remote position open to candidates located within the United States.What you will doWe 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<ul><li>Design and deploy models for predictive maintenance, anomaly detection, asset optimization, and time-series forecasting.</li><li>Work with large-scale sensor data from connected devices.</li><li>Develop robust data pipelines and real-time inference systems integrated with edge and cloud infrastructure.</li><li>Lead the end-to-end technical execution of ML projects, from ideation to deployment.</li><li>Mentor and support a team of ML and software engineers by defining and enforcing best practices in model development, testing, and deployment.</li><li>Partner with product managers and domain experts to align technical solutions with business goals.</li></ul>What we look forRequired <ul><li>Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, or a related field.</li><li>5+ years of experience in machine learning and software engineering.</li><li>Proven experience leading technical teams or projects in a production environment.</li></ul><ul><li>Solid understanding of core machine learning and AI algorithms, including supervised and unsupervised learning, classification, regression, clustering, and deep learning techniques.</li><li>Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn), SQL and cloud platforms.</li><li>Experience with time-series data</li><li>Excellent communication and cross-functional collaboration skills.</li></ul>Preferred <ul><li>Advanced degree in Computer Science, Electrical Engineering, Statistics, or a related field.</li><li>Experience in industrial sectors.</li><li>Knowledge of MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes).</li><li>Experience with one or more of signal processing, edge computing and physics-informed ML models.</li></ul>What you get:<ul><li>Medical, dental and vision care coverage and a 401(k) savings plan with company matching – all starting on date of hire</li><li>Tuition reimbursement, perks, and discounts</li><li>Parental and caregiver leave programs</li><li>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</li><li>Global market strength and worldwide market share leadership</li><li>HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility</li><li>Clarios has been recogizned as one of 2024's Most Ethical Companies by Ethisphere. This prestigious recognition marks the second consecutive year Clarios has received this distinction. </li></ul>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.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. Please let us know if you require accommodations during the interview process by emailing <a href="mailto:Special.Accommodations@Clarios.com">Special.Accommodations@Clarios.com</a>. We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, gender, ethnicity, and all other characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please <a href="https://www.clarios.com/global-responsibility">read our latest report</a>. We want you to <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf">know your rights</a> 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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<div id="ember57" class="ember-view organization-about-module__content-consistant-cards-description">Clarios creates the most advanced battery technologies for virtually every type of vehicle. We are a global leader in advanced energy storage solutions, powering one in three of the world&rsquo;s vehicles. We produce more than 150 million batteries &ndash; one-third of the industry&rsquo;s output &ndash; every year, and we continue to build and expand our capacity to meet our customer&rsquo;s future demand.</div>
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Machine Learning Engineer - Technical Lead

This is a remote position open to candidates located within the United States.What you will doWe are looking for a seasoned&nbsp;Machine Learning Engineer &nbsp;with strong leadership capabilities to join the Connected Services AIML team as a&nbsp;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<ul><li>Design and deploy models for predictive maintenance, anomaly detection, asset optimization, and time-series forecasting.</li><li>Work with large-scale sensor data from connected devices.</li><li>Develop robust data pipelines and real-time inference systems integrated with edge and cloud infrastructure.</li><li>Lead the end-to-end technical execution of ML projects, from ideation to deployment.</li><li>Mentor and support a team of ML and software engineers by defining and enforcing best practices in model development, testing, and deployment.</li><li>Partner with product managers and domain experts to align technical solutions with business goals.</li></ul>What we look forRequired&nbsp;<ul><li>Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, or a related field.</li><li>5+ years of experience in machine learning and software engineering.</li><li>Proven experience leading technical teams or projects in a production environment.</li></ul><ul><li>Solid understanding of core machine learning and AI algorithms, including supervised and unsupervised learning, classification, regression, clustering, and deep learning techniques.</li><li>Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn), SQL and cloud platforms.</li><li>Experience with time-series data</li><li>Excellent communication and cross-functional collaboration skills.</li></ul>Preferred&nbsp;<ul><li>Advanced degree in Computer Science, Electrical Engineering, Statistics, or a related field.</li><li>Experience in industrial sectors.</li><li>Knowledge of MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes).</li><li>Experience with one or more of signal processing, edge computing and physics-informed ML models.</li></ul>What you get:<ul><li>Medical, dental and vision care coverage and a 401(k) savings plan with company matching – all starting on date of hire</li><li>Tuition reimbursement, perks, and discounts</li><li>Parental and caregiver leave programs</li><li>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</li><li>Global market strength and worldwide market share leadership</li><li>HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility</li><li>Clarios has been recogizned as one of 2024's Most Ethical Companies by Ethisphere. This prestigious recognition marks the second consecutive year Clarios has received this distinction.&nbsp;</li></ul>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.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. Please let us know if you require accommodations during the interview process by emailing <a href="mailto:Special.Accommodations@Clarios.com">Special.Accommodations@Clarios.com</a>. We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, gender, ethnicity, and all other characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please <a href="https://www.clarios.com/global-responsibility">read our latest report</a>. We want you to <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf">know your rights</a> 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.

Machine Learning Engineer - Technical Lead

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Clarios

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