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Remote Computer Vision Engineer Jobs in Waltham, MA

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

This role centers on leading the design and delivery of advanced computer vision and perception systems for our next-generation autonomous platforms. We are looking for a seasoned engineer who brings ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

This role centers on leading the design and delivery of advanced computer vision and perception systems for our next-generation autonomous platforms. We are looking for a seasoned engineer who brings ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174K - $287K/yr

... Computer Vision, NLP, and reinforcement learning * Experience with tensor math libraries such as ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174K - $287K/yr

... Computer Vision, NLP, and reinforcement learning * Experience with tensor math libraries such as ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Senior AI/ML Engineer

Boston, MA · On-site +1

$113K - $155K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... Experience with computer vision , machine learning , or data-centric AI projects - especially where ...

Senior Software Engineer

Westwood, MA · On-site +1

$137K - $180K/yr

... computer vision, or data-intensive pipelines • Comfort working in Linux and Windows environments ... We support flexibility and work-life balance, offering both remote and in-office work options ...

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Remote Computer Vision Engineer information

See Waltham, MA salary details

$52.3K

$131.1K

$148.3K

How much do remote computer vision engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote computer vision engineer in Waltham, MA is $131,097.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,300.00 and $141,900.00 per year, depending on experience, location, and employer.

What is a Remote Computer Vision Engineer job?

A Remote Computer Vision Engineer develops and implements computer vision algorithms and machine learning models to analyze and interpret visual data. They work with image and video processing, deep learning frameworks, and cloud-based or edge computing environments. This role involves tasks like object detection, image segmentation, and facial recognition, often using tools like OpenCV, TensorFlow, or PyTorch. Since it is a remote position, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Computer Vision Engineer position, and why are they important?

To excel as a Remote Computer Vision Engineer, you need strong proficiency in image processing, machine learning, and programming languages such as Python or C++, typically supported by a degree in computer science or a related field. Experience with frameworks like OpenCV, TensorFlow, or PyTorch, and familiarity with cloud platforms and version control systems, are highly valuable. Excellent problem-solving skills, self-motivation, and effective remote communication abilities set standout candidates apart. These skills ensure the successful development and deployment of advanced computer vision solutions in a collaborative, distributed work environment.

What are some typical challenges remote computer vision engineers face and how can they address them?

Remote computer vision engineers often encounter challenges such as aligning on project objectives with distributed teams, managing large datasets, and ensuring models perform well in real-world conditions. Effective communication through regular video meetings and clear documentation can help bridge distance-related gaps. Utilizing collaborative tools for code reviews and version control also streamlines teamwork. To overcome technical hurdles, staying updated on the latest frameworks and best practices in computer vision is important. Proactively addressing these challenges leads to more efficient project delivery and professional growth.

What are popular job titles related to Remote Computer Vision Engineer jobs in Waltham, MA? For Remote Computer Vision Engineer jobs in Waltham, MA, the most frequently searched job titles are:
What job categories do people searching Remote Computer Vision Engineer jobs in Waltham, MA look for? The top searched job categories for Remote Computer Vision Engineer jobs in Waltham, MA are:
What cities near Waltham, MA are hiring for Remote Computer Vision Engineer jobs? Cities near Waltham, MA with the most Remote Computer Vision Engineer job openings:

Senior Machine Learning Engineer

ASUS Computer International

Boston, MA • On-site, Remote

$161K - $246K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

Job Description Overview:

The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global research and development team. This role centers on leading the design and delivery of advanced computer vision and perception systems for our next-generation autonomous platforms.

We are looking for a seasoned engineer who brings deep technical expertise, sound engineering judgment, and a proven track record of delivering production ML systems in complex, real-world environments. The ideal candidate is a mature, self-directed contributor who can drive technical decisions, mentor others, and operate effectively across a collaborative, multidisciplinary team.

Essential Duties and Responsibilities:

  • Lead the design and development of machine learning systems for computer vision and perception tasks.
  • Optimize models for real-time performance on embedded and edge computing platforms.
  • Build and maintain robust perception pipelines that integrate data from cameras and other sensors.
  • Evaluate and implement state-of-the-art techniques in deep learning, object detection, and visual tracking.
  • Drive technical decisions and provide guidance on architecture, tooling, and best practices across the team.
  • Design and execute experiments, including simulation and real-world field testing, to validate model performance.
  • Maintain and improve datasets, pipelines, and tools to support efficient model training and deployment.
  • Collaborate with cross-functional teams, including robotics, systems, and software engineers, to deliver production-ready solutions.


Knowledge and Skills:

  • Proficiency in Python and deep learning frameworks such as PyTorch and/or JAX. Hands-on experience training models such as VLMs, ViTs, and/or CNNs.
  • Familiarity with classical computer vision techniques (e.g., OpenCV).
  • Exceptionally strong problem-solving skills and the ability to lead technical work in a fast-paced, multidisciplinary environment.
  • Understanding of software development best practices, including coding standards, code reviews, source control management, and test automation.
  • Experience with robotics, autonomous systems, or real-time perception applications is strongly preferred.
  • Knowledge of MLOps practices (e.g., model versioning, CI/CD for ML) is a plus.
  • Ability to work confidently in a rapidly changing, fast-paced and results-oriented corporate environment where a high degree of flexibility is required
  • Excellent written and verbal communication skills in English

Required Qualifications:

Years of Education

  • Bachelor's degree or higher in computer science, electrical engineering, robotics, or a related field.

Work Experience

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


 

Preferred Qualifications:

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

Working Conditions:

  • Office Only: Works 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%

About the ASUS Robotics & AI Center

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.

More About ASUS

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.