Remote Machine Learning Engineer (Remote - California)

Description:

• This position is for a Machine Learning Engineer at Butlr, located in California (USA), and is offered remotely.
• The role focuses on innovating at the intersection of smart building technology and privacy-preserving AI.
• The engineer will develop advanced machine learning algorithms that help buildings understand human presence and behavior.
• Responsibilities include collaborating with product, design, and hardware teams to create detection and tracking solutions for low-power devices.
• The position is ideal for someone passionate about privacy, edge computing, and transforming physical spaces through AI.
• Key accountabilities include developing privacy-focused algorithms using IoT sensors, building detection and tracking systems, designing assistive technology models, collaborating on scalable data products, and optimizing models for cloud and edge deployment.

Requirements:

• A Master's or PhD in machine learning, computer science, or a related STEM field is required.
• Candidates must have 3+ years of experience in image processing and computer vision, including pose estimation, action recognition, and tracking.
• Strong programming skills in Python are necessary, along with familiarity with OpenCV, PyTorch, and NumPy.
• Experience with large-scale machine learning systems deployed on cloud and edge platforms is required.
• Knowledge of both deep learning and classical statistical modeling techniques is essential.
• Bonus qualifications include experience with C++, computational photography, and performance tuning.
• Excellent scientific communication skills and the ability to collaborate cross-functionally are required.

Benefits:

• The position offers a competitive salary range of $140,000 - $180,000 based on experience.
• Employees will enjoy a flexible, people-first work environment that fosters collaboration and balance.
• A comprehensive health benefits package is provided.
• There is a retirement savings plan available for employees.
• Flexible time off policies are in place to support work-life balance.
• Opportunities for professional growth and development are encouraged.
• The company promotes an inclusive and diverse culture, welcoming applicants from all backgrounds.