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Machine Learning Object Detection Jobs in Massachusetts

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global ... Evaluate and implement state-of-the-art techniques in deep learning, object detection, and visual ...

Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition ... in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant ...

Ensuring that all departments understand the work of the machine learning team and how it aligns ... You have expertise in radar signal processing and object detection from RF signals, including ...

Senior Machine Learning Scientist

Boston, MA · On-site

$99K - $135K/yr

Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition ... in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant ...

As a machine learning engineer, you will develop natural language processing systems that help our ... Object-Oriented Programming * Fluency in SQL and Database Management * Experience with software ...

Machine Learning Engineer

Somerville, MA · On-site

$170K - $200K/yr

Our products help detect harm, prevent fraud, and build safer, more trusted online and real-world ... We're looking for a Senior Machine Learning Engineer to help advance the state of voice ...

Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

Our products help detect harm, prevent fraud, and build safer, more trusted online and real-world ... We're looking for a Senior Machine Learning Engineer to help advance the state of voice ...

Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

Our products help detect harm, prevent fraud, and build safer, more trusted online and real-world ... We're looking for a Senior Machine Learning Engineer to help advance the state of voice ...

Machine Learning Tutor

Lowell, MA · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Machine Learning Tutor

Newton, MA · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Machine Learning Tutor

Boston, MA · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

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Machine Learning Object Detection information

What are the key skills and qualifications needed to thrive as a Machine Learning Object Detection Engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.
What are popular job titles related to Machine Learning Object Detection jobs in Massachusetts? For Machine Learning Object Detection jobs in Massachusetts, the most frequently searched job titles are:

Senior Machine Learning Engineer

ASUS Computer International

Boston, MA • On-site, Remote

$161K - $246K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


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.