Machine Learning Engineer - Technical Lead

Clarios; Milwaukee (WI); Remote; USD 100,000 - 150,000; Full time

Job summary

Join Clarios as a Machine Learning Engineer - Technical Lead to shape the future of sustainable transportation. You will lead a dynamic team, architect solutions for predictive maintenance, and work with cutting-edge technology to drive innovation in energy storage and IoT solutions. If you’re passionate about machine learning and enjoy mentoring others, we welcome your application.

Benefits

Medical, dental and vision care coverage

401(k) savings plan with company matching

Tuition reimbursement

Paid time off and flexible spending

Employee Assistance Program

Qualifications

• 5+ years in machine learning and software engineering.
• Experience leading technical teams in production.
• Solid understanding of AI algorithms.

Responsibilities

• Architect and implement algorithmic solutions for industrial IoT.
• Mentor a team in best practices for model development.
• Develop real-time data pipelines and models.

Skills

Machine Learning

Leadership

Python

Data Analysis

Cloud Computing

Collaboration

Education

Bachelor’s degree in Computer Science

Advanced degree preferred

Tools

PyTorch

TensorFlow

SQL

Docker

Kubernetes

Job description

Machine Learning Engineer - Technical Lead

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Machine Learning Engineer - Technical Lead

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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.
  
  

Required

What we look for

• 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.
  
  

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 recogizned as one of 2024's Most Ethical Companies by Ethisphere. This prestigious recognition marks the second 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.

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 [e-mail]. 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 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Motor Vehicle Parts Manufacturing

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