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Machine Learning Object Detection Jobs in Massachusetts

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

$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 ...

Senior Data Science Engineer

Cambridge, MA · On-site

$126K - $151K/yr

... Machine learning experience, particularly in applying Client techniques to radar signal processing tasks. • Experience with radar-to-image projection, image segmentation, video object detection, or ...

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:

What you'll need to succeed as a Machine Learning Engineer at XPO Minimum qualifications ... Experience implementing model monitoring, drift detection, and feedback-loop tooling * Experience ...

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:

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:

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:

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:

What you'll need to succeed as a Machine Learning Engineer at XPO Minimum qualifications ... Experience implementing model monitoring, drift detection, and feedback-loop tooling * Experience ...

Showing results 21-40

Machine Learning Object Detection information

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 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 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 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:

Machine Learning Engineer

Somerville, MA • On-site

Modulate
Software Development • 1 - 10 employees

$170K - $200K/yr

Other

Medical, Dental, Vision, PTO

Posted 8 days ago


Job description

About the Company

Modulate is the leader in conversational voice intelligence. We enable enterprises to deeply understand how people communicate and take timely action based on those insights. Our products help detect harm, prevent fraud, and build safer, more trusted online and real-world voice environments. We are building a Conversation Intelligence Platform — APIs, workflows, and applications that bring voice understanding to customers at enterprise scale.

We're looking for a Senior Machine Learning Engineer to help advance the state of voice understanding at Modulate. In this role, you'll design, train, evaluate, and deploy cutting‑edge machine learning models that power our products. You'll work closely with researchers, engineers, product leaders, and executives to bring innovative ML solutions from concept to production.

Your Impact
  • Develop and deploy high-quality machine learning models that power Modulate's products

  • Advance our capabilities in conversational voice intelligence through applied research and engineering

  • Help translate business needs into scalable ML solutions

  • Improve model performance, reliability, and efficiency across our platform

  • Contribute to a collaborative, high‑performing engineering culture

What You Will Do
  • Design, train, evaluate, and deploy machine learning models for production applications

  • Collaborate with engineers, researchers, product managers, and company leadership to define and execute on ML initiatives

  • Conduct experiments to improve model quality, accuracy, robustness, and scalability

  • Partner with platform and infrastructure teams to operationalize and monitor ML systems in production

  • Analyze model performance and identify opportunities for improvement

  • Communicate technical findings, tradeoffs, and recommendations to both technical and non‑technical stakeholders

  • Contribute to technical strategy and help shape the future direction of Modulate's ML systems

  • Review code, share knowledge, and mentor teammates as needed

  • Stay current on advances in machine learning and identify opportunities to apply new techniques to our products

What We Are Looking For
  • Experience conducting machine learning research and shipping models to production

  • Strong experience building and deploying production‑grade machine learning systems

  • Strong experience with Python and PyTorch

  • Experience designing experiments and evaluating model performance

  • Ability to work across research and engineering disciplines to deliver business impact

  • Strong communication skills and the ability to explain complex technical concepts clearly

  • Experience working collaboratively in cross‑functional environments

Nice to Have
  • Experience communicating research externally through papers, conferences, or open‑source contributions

  • Experience with audio models or speech systems (ASR, TTS, speaker modeling, etc.)

  • Experience with cloud infrastructure, especially AWS

  • Experience building and maintaining large‑scale ML infrastructure or MLOps systems

  • Experience in fast‑paced startup environments

Benefits
  • Competitive salary + equity

  • Full health, dental, and vision coverage

  • Flexible PTO with a strong culture of taking it

  • Weekly team lunches with dietary accommodations

  • Hybrid work with core in‑office days and flexible remote options

  • Leadership and technical learning sessions

  • Career development and continued growth support

  • Up to 8 weeks work‑from‑anywhere policy

  • A deeply inclusive, human‑centered culture

Pay Transparency

Modulate believes in transparency as a cornerstone of equity and trust. Compensation for this role is based on seniority, skills, and experience.

Salary: $170,000–$200,000
Equity: Offered

Additional benefits include HSA, FSA, 15 company holidays, and professional development resources.

Candidates may be located anywhere in the U.S., with preference for proximity to major tech hubs such as Boston, San Francisco, Seattle, New York, or Austin.

About Modulate

Modulate is on a mission to make voice a force for good online. Our tools help communities thrive by proactively detecting toxic behavior, protecting user identity, and empowering safety teams. We're trusted by leaders in gaming and beyond—and we're growing fast.

We believe that great cultures don't just happen. That's why we've built a foundation of intentional systems: from bias‑reducing hiring practices to transparent pay to tools that help teams collaborate across communication styles. At Modulate, we treat people like people—and we're building technology that does the same.

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