ZipRecruiter

Log In

1

Machine Learning Object Detection Jobs in Northlake, TX

Shield AI

Manager, Software - Perception (R3770)

Dallas, TX · On-site

$220K - $330K/yr

A successful candidate will be skilled in developing real-time object detection, sensor fusion, and ... learning-based detection models. * Familiarity with fusing data from radar, EO/IR cameras, or other ...

Citi

Specialized Analytics Senior Analyst

Irving, TX · On-site

$82K - $104K/yr

Design, develop, and implement advanced machine learning models to detect and prevent fraud across the entire lifecycle, including application fraud, synthetic ID fraud, account takeover, and ...

Citi

Specialized Analytics Lead Analyst

Irving, TX

Design, develop, and implement advanced machine learning models to detect and prevent fraud across the entire lifecycle, including application fraud, synthetic ID fraud, account takeover, and ...

KAPI LLC

Senior MLOps Engineer - Snowflake

Dallas, TX · On-site

$100K - $130K/yr

... machine learning workloads. * Establish model registry, versioning, lineage, artifact management, and reproducibility. * Implement model monitoring, data drift detection, model drift detection ...

Paradigm

Senior ML Ops Engineer

Irving, TX · On-site

$100K - $137K/yr

Develop monitoring, observability, and alerting capabilities for machine learning systems, including model performance tracking, drift detection, and data quality monitoring. * Collaborate with ...

VAST Data

Customer Support Engineer

Dallas, TX · On-site

You will also be involved in developing and testing and solutions in strategically and tactically significant applications and use cases, including file protocols, machine learning, object storage ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning Object Detection JobsMachine Learning Object Detection Jobs in Northlake, TX

Machine Learning Object Detection information

See Northlake, TX salary details

$29.2K

$119.4K

$179.4K

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

As of Sep 15, 2026, the average yearly pay for machine learning object detection in Northlake, TX is $119,389.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $143,700.00 per year, depending on experience, location, and employer.

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 cities near Northlake, TX are hiring for Machine Learning Object Detection jobs?

Cities near Northlake, TX with the most Machine Learning Object Detection job openings:

Infographic showing various Machine Learning Object Detection job openings in Northlake, TX as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 21% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $119,389 per year, or $57.4 per hour.

Summer 2027 - Software Engineer Intern

Dallas, TX

Shield AI
Software Development • 11 - 50 employees
Learn more about Shield AIexternal

$37 - $97/hr

Full-time, Temporary, Internship

Posted 5 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 
 
Our Summer Internship program is a wonderful opportunity for Fall and Spring graduates to immerse themselves in an innovative and mission driven culture. Our 10-week paid internship program will provide you with hands on mentorship, an opportunity to add real contribution to our company via your internship project, and a possible job offer at the end. You will have the chance to make lifelong friendships, expand your network, and learn all about what it's like to work in a high-growth, fast scaling tech unicorn. You'll take part in company sponsored events and enjoy exploring a new city. Read on below to learn more about this unique internship!

About the Role
Shield AI's Software Development Engineer Intern program spans engineers who design, build, and test the code that powers our autonomous systems — from user-facing applications and embedded flight software to machine learning models and the underlying systems platforms that tie it all together. Over 10–12 weeks, interns work alongside full-time engineers to analyze requirements, write and debug production-quality code, and ship a real feature or capability using our standard Agile development practices.

Example Intern Projects

  • Applications: Build a new feature or internal tool (web, mobile, or desktop) that streamlines a mission-planning or fleet-management workflow.

  • Firmware/Embedded: Develop and debug embedded C/C++ code for a flight controller or sensor module, including bring-up and hardware-in-the-loop testing.

  • Machine Learning: Train, evaluate, and integrate a perception or decision-making model (e.g., object detection, sensor fusion) into an autonomy pipeline.

  • Systems Development: Extend a platform tool, API, or data pipeline that supports autonomy software, simulation, or cloud infrastructure.

Required Qualifications

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field

  • Proficiency in at least one modern programming language (e.g., C, C++, Python, Java, or JavaScript)

  • Solid foundation in data structures, algorithms, and software design principles

  • Experience writing, testing, and debugging code, whether through coursework, personal projects, or prior internships

  • Familiarity with version control (e.g., Git) and collaborative development workflows

  • Strong analytical and problem-solving skills, with the ability to break down ambiguous requirements into working code

  • Effective written and verbal communication skills and the ability to work collaboratively in a team environment

Preferred Qualifications

  • Exposure to mobile or web application frameworks and full-stack development

  • Hands-on experience with embedded systems, microcontrollers, real-time operating systems, or assembly-level debugging

  • Coursework or projects involving machine learning, statistics, probability theory, or deep learning frameworks (e.g., PyTorch, TensorFlow)

  • Experience with cloud platforms, databases, networking, or distributed systems

  • Familiarity with Agile/Scrum development methodologies

  • Prior internship, research, or club/competition experience in robotics, autonomy, or aerospace applications

  • Interest in or exposure to the defense, aerospace, or autonomous systems industry

$37- $97 an hour - Your salary will be determined by academic level.  
 
Pay is just one part of your total rewards package at Shield AI. You may also be eligible for a stipend to subsidize relocation costs. As an intern, you will receive the opportunity to attend presentations from company leaders, social and networking events, as well as mentorship from current Shield AI Engineers. Interns are also eligible for paid company holidays.  
 
#intern
 
Shield AI is proud to offer competitive pay and a housing stipend for qualified hires. While our People Experience team provides resources and assistance, interns are responsible to find their own housing and travel to and from their office location.
 
###
 
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

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.