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Machine Learning Object Detection Jobs in Massachusetts

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 ...

... processing, machine learning, or applied AI who is ready to grow in a hands-on engineering ... Help develop, test, and improve object detection, image similarity, and scene understanding models.

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 ...

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 ...

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

... modern machine learning approaches for image analysis, including convolutional neural networks and vision transformers * Proven experience developing semantic segmentation, object detection ...

... modern machine learning approaches for image analysis, including convolutional neural networks and vision transformers * Proven experience developing semantic segmentation, object detection ...

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

... modern machine learning approaches for image analysis, including convolutional neural networks and vision transformers * Proven experience developing semantic segmentation, object detection ...

Machine Learning Tutor

Lynn, 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

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

Waltham, 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:

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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:
What job categories do people searching Machine Learning Object Detection jobs in Massachusetts look for? The top searched job categories for Machine Learning Object Detection jobs in Massachusetts are:

Senior Machine Learning Engineer - Perception Detection and Tracking

Zoox

Boston, MA • On-site

$214K - $290K/yr

Full-time

Posted 18 days ago


Job description

The Object Detection and Tracking team at Zoox deals with the perception of all people and objects that can move. Your role is to work on the ML model team to develop detection and tracking models and to integrate them into the vehicle stack.

In this role, you will have access to the world's best sensor data and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for detection, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components.

In this role, you will...
  • Define on-vehicle architecture for producing the core tracking results from the Perception stack.
  • Assist with the implementation of core tracking results from the Perception stack 
  • Work with both the model and data teams to develop a high-performance, efficient model that can run on a vehicle.
  • Work with Perception data, both on the input and output of machine learning models
Qualifications
  • BS or higher in Computer Science or a related degree
  • Familiarity with modern, Sparse-BEV Joint Detection and Tracking models.
  • Hands-on experience with production ML pipelines, including dataset creation, metrics, and optimization
  • Experience in Python, PyTorch, or a related ML framework
Bonus Qualifications
  • Experience with CUDA code and/or TensorRT
  • Strong mathematical skills and understanding of probabilistic techniques
  • Experience implementing tracking systems

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.