Machine Learning Engineer - Predictive Maintenance - Remote

Overview

AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience, with a passion to care about the assets our customers care for every day. We are a devoted and capable team that includes world-renowned engineers and distinguished business leaders united by a common goal – To build the future of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to help lead the journey.

In Short

• Design, implement, and optimize machine learning models for predictive maintenance.
• Work with cross-functional teams to deliver impactful solutions.
• Perform data preprocessing and feature extraction from sensor data.
• Develop and refine machine learning models for anomaly detection.
• Collaborate with MLOps to integrate models into production.
• Communicate technical concepts to diverse audiences.
• Maintain thorough documentation of processes and models.
• Contribute to a culture of continuous learning and knowledge sharing.
• Opportunity to work with an exciting and growing team.
• Flexible work schedule and unlimited PTO.

Requirements

• Master’s or Ph.D. in Mechanical Engineering, Electrical Engineering, or related field.
• Strong programming skills in Python and familiarity with ML libraries.
• Experience in signal processing and time-series analysis.
• Knowledge of cloud platforms and containerization.
• Proven experience in vibration analysis and fault detection.
• Strong communication and presentation skills.
• Demonstrated problem-solving skills.
• A collaborative mindset with a willingness to share knowledge.

Benefits

• Competitive compensation package including share options.
• Flexible work schedule.
• Full benefits and 401K.
• Opportunity to make a real impact every day.
• Unlimited PTO.