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Principal Machine Learning Engineer

Titan Advanced Energy Solutions

Titan Advanced Energy Solutions

Software Engineering
Salem, MA, USA
Posted on Tuesday, June 4, 2024

Company Overview

Titan Advanced Energy Solutions is a forward-thinking startup focused on integrating advanced hardware and software technologies to transform the energy sector. We have developed revolutionary, ultrasound-based battery cell inspection systems. Using non-destructive, high-resolution, high-speed ultrasound technology, Titan’s IonSight analyzes cell morphology to detect critical manufacturing anomalies, directly addressing safety concerns and in-field risks. The novel in-line technology integrates into existing cell manufacturing processes to decrease the cost of quality, accurately classify cell quality grades, and evaluate lifetime performance and safety characteristics. We are dedicated to developing practical solutions that enhance the quality and reliability of battery cells for storage and electric vehicles.

Titan’s innovative strides have been recognized with numerous awards and funding from top clean energy programs and institutions, including Greentown Labs, the Massachusetts Clean Energy Center (MassCEC) and the Department of Energy. Growing and poised to continue this positive momentum, this is an exciting time to join the Titan team!

We are seeking a Director of Engineering with a strong foundation in signal processing, physics-based machine learning, and deep learning techniques. As the Director of Engineering, reporting to the VP of Engineering, you will support strategic planning and contribute to modeling techniques on time series-based data.

Key Responsibilities:

  • Guide and mentor a team of engineers specializing in machine learning, signal processing, and imaging technologies.
  • Oversee the design, development, and deployment of machine learning models and algorithms.
  • Collaborate with cross-functional teams to integrate machine learning solutions with Titan's battery cell interrogation systems in Gigafactories.
  • Stay current with the latest advancements in deep learning and related fields, applying this knowledge to enhance our technology offerings.
  • Ensure the quality and reliability of engineering projects through rigorous testing and validation processes.

Qualifications:

  • Advanced degree in Computer Science, Electrical Engineering, Physics, or a related field.
  • Strong background in signal processing and physics-based machine learning.
  • Proven experience with the latest deep learning techniques and frameworks.
  • Excellent problem-solving skills and the ability to think strategically.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.

What We Offer:

  • Competitive salary and benefits package.
  • A collaborative and innovative work environment.
  • Opportunities for professional growth and development.
  • The chance to make a significant impact in the energy sector.

If you are passionate about advancing the field of machine learning and contributing to the development of cutting-edge energy solutions, we encourage you to apply