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Machine Learning Object Detection Jobs in Raleigh, NC

CoVar

Signal Processing Engineer

Durham, NC

We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find ... RF signal processing, electronic warfare, optimization, array processing, machine learning ...

DPR Construction

MLOps Engineer

Raleigh, NC

... Machine Learning,Data Science, Data Engineering and Software Engineering. Position Overview ... Implement AI-driven data validation, schema drift detection, and metadata management. * Establish ...

DPR Construction

MLOps Engineer

Raleigh, NC · On-site

Implement AI-driven data validation, schema drift detection, and metadata management. * Establish ... Experience deploying production-ready machine learning models * Experience with Model ...

Vadum Inc

Electronic Warfare Systems Architect

Raleigh, NC · On-site

$217.20K/yr

Emitter detection, classification, and geolocation - Guide the integration of machine learning techniques for RF signal classification and sensor exploitation. - Ensure algorithm designs are robust ...

Vadum Inc

Electronic Warfare Systems Architect

Raleigh, NC

$217.20K/yr

Emitter detection, classification, and geolocation - Guide the integration of machine learning techniques for RF signal classification and sensor exploitation. - Ensure algorithm designs are robust ...

Deloitte

Software Product Architect

Raleigh, NC · On-site

Experience with machine learning operations, AgentOps, DevSecOps, site reliability engineering ... Experience designing software and product architecture using object-oriented design, data ...

Deloitte

Senior AI Engineer - SFL Scientific

Raleigh, NC

$101.60K - $139.50K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... Some of our novel use cases include cancer detection, drug discovery, optimizing population health ...

Varsity Tutors

Python Tutor

Durham, NC · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

Varsity Tutors

Python Tutor

Chapel Hill, NC · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

Varsity Tutors

Python Tutor

Raleigh, NC · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

Bandwidth

Sr. Data Scientist

Raleigh, NC

Architect and implement advanced machine learning systems, including supervised and unsupervised ... detection, retraining, and performance degradation. * Lead the design and implementation of CI/CD ...

Deloitte

Azure AI Security Manager

Raleigh, NC · On-site

... Machine Learning, Azure Cognitive Services, Azure AI Studio), Azure Platform & Infrastructure ... Experience conducting adversarial testing, bias detection, model monitoring, and red team exercises ...

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All JobsMachine Learning Object Detection JobsMachine Learning Object Detection Jobs in Raleigh, NC

Machine Learning Object Detection information

See Raleigh, NC salary details

$30.6K

$125.2K

$188.1K

How much do machine learning object detection jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning object detection in Raleigh, NC is $125,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $150,700.00 per year, depending on experience, location, and employer.

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 Raleigh, NC? For Machine Learning Object Detection jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Object Detection jobs in Raleigh, NC look for? The top searched job categories for Machine Learning Object Detection jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Machine Learning Object Detection jobs? Cities near Raleigh, NC with the most Machine Learning Object Detection job openings:
Machine Learning Object Detection jobs near you

Signal Processing Engineer

CoVar

Durham, NC

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

Signal Processing Engineer

About CoVar

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental catastrophes. We are passionate engineers, dedicated to pushing the bounds of what AI/ML can do in the real world.

About this position

You will help CoVar develop signal processing algorithms and software to solve real-world customer problems. You will develop novel and advanced algorithms for sense making and sensor decision making for applications in the RF domain to include detection, localization, classification, tracking and EW. You will design and implement simulations for these RF applications as well as evaluate results on real world data. You will have the opportunity to present your work to high-level customers in the DoD and in the industry. The position includes opportunities to publish novel work in both classified and unclassified settings.

Key Responsibilities

  • Algorithm Development: Design, implement, and optimize signal and array processing algorithms for RF applications, detection, localization, tracking, channel estimation, beamforming, and spectral analysis.
  • Data Analysis: Process and interpret RF datasets for signal detection, classification, tracking, parameter estimation, and pattern recognition.
  • Prototyping & Testing: Develop simulation models (e.g., Python, MATLAB) and implement algorithms on real-time platforms such as FPGAs, GPUs, or SDRs (Software-Defined Radios).
  • RF System Integration: Collaborate with hardware engineers to integrate digital signal processing (DSP) algorithms into RF systems and ensure optimal end-to-end performance.
  • Performance Evaluation: Conduct laboratory and field testing to validate system performance under various operational conditions.
  • Research & Innovation: Stay up to date with emerging RF technologies, advanced signal processing techniques, and industry best practices.
  • Documentation: Prepare technical reports and presentations for internal and external stakeholders.

Minimum qualifications

  • B.S., M.S., or Ph.D in Electrical Engineering, Computer Engineering, Applied Physics, Applied Mathematics, or a related field.
  • 3+ years of experience in RF signal processing or a related discipline.
  • Strong proficiency in one or more of the following programming languages: Python, C/C++, or MATLAB.
  • Experience in the following areas:
    • RF signal processing, electronic warfare, optimization, array processing, machine learning, adaptive signal processing, AI/ML algorithm development, radar modeling, RF propagation
  • Ability to work with cross-functional engineering teams and clearly communicate complex technical concepts.
  • Ability to work in Durham, NC (relocation assistance available)
  • Eligibility for US security clearance

Preferred qualifications

  • Experience with:
    • Radar signal processing in Department of Defense (DoD) specific applications including electronic warfare (EW) techniques such as electronic support measures, attack, protection, and cognitive EW.
    • AI/ML algorithm design in the areas of computer vision, reinforcement learning (RL), and natural language processing.
    • Spectrum monitoring and signal classification using machine learning techniques.
    • Translating the mission needs of DoD customers into an end-to-end technical solution.
    • Proposal development and proposal writing.
  • Familiarity with FPGA or GPU acceleration for high-performance DSP.
  • Proficiency in C/C++ for embedded or real-time applications.
  • Active U.S. security clearance.

Benefits

  • Competitive salary, cash bonus, equity structure, and 401k with employer contributions
  • Excellent health care coverage, including dental and vision plans
  • Parental leave
  • Short-term and long-term disability insurance
  • Life insurance
  • Flexible work schedule
  • Tuition support
  • PTO and paid holidays

Visit us: www.covar.com