Senior Machine Learning Engineer

• 8+ years of industry experience developing and deploying machine learning models for computer vision or perception applications.

• Experience with camera geometry, 3D reconstruction, or GPU programming (e.g., CUDA, Triton) is a plus.

• Office Only: W orks in an office environment in Boston, MA
• 3 days in office/2 days work from home
• Requires sitting, operating a computer keyboard, telephone and other office equipment for extended periods of time
• Travel to Taipei occasionally for team collaboration and project needs
• Domestic travel approx. 5%. International travel approx. 5%

The ASUS Robotics and AI Center is a world-class research and development laboratory that was established with the mission of developing ambitious technologies that will define the future.

Our multidisciplinary team of the brightest engineers and scientists is dedicated to creating software-focused solutions that will solve some of the most enduring challenges in the fields of robotics and artificial intelligence.

ASUS is a global technology leader that provides the world’s most innovative and intuitive devices, components, and solutions to deliver incredible experiences that enhance the lives of people everywhere.

With its team of 5,000 in-house R&D experts, the company is world-renowned for continuously reimagining today’s technologies.

Consistently ranked as one of Fortune’s World’s Most Admired Companies, ASUS is also committed to sustaining an incredible future.

The goal is to create a net zero enterprise that helps drive the shift towards a circular economy, with a responsible supply chain creating shared value for every one of us.

$161,000 – $246,000 annually is the estimated pay range for this role working in Boston , MA . The final amount will be determined based on qualifications & experience of the candidate relative to the role. Our comprehensive employee benefits include bonuses, medical, dental, vision, life insurance, AD&D insurance, Paid Time Off, EAP, & 401(k). ASUS is an equal employment opportunity employer. The Company makes employment decisions without regard to race, color, religion, sex, gender, pregnancy/ breastfeeding, medical conditions related to pregnancy or childbirth, sexual orientation, age, national origin or ancestry, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, as well as any other characteristic protected by law, regulation or local ordinance, and strives to comply with all applicable laws on the subject. These employment decisions extend to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment, pay and other forms of compensation, training and other terms and conditions of employment.