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Machine Learning Object Detection Jobs in Northlake, TX

UNAVAILABLE

Machine Learning Engineer

Frisco, TX · On-site

Fine‑tune and deploy computer vision and deep learning models for object detection, object ... Contribute to our machine learning repositories and optimize models for performance, scalability ...

Quarterhill

Machine Learning Engineer

Frisco, TX · On-site

Fine-tune and deploy computer vision and deep learning models for object detection, object tracking ... Contribute to our machine learning repositories and optimize models for performance, scalability ...

Paradigm

Senior Applied ML Engineer

Irving, TX · Remote

$125K - $183K/yr

... Machine Learning, or related field. * 5+ years of experience designing and deploying applied ML systems at scale. * Experience with computer vision (CNNs, object detection, segmentation) and natural ...

WTS Paradigm LLC

Senior Applied ML Engineer

Irving, TX · On-site

$125K - $183K/yr

... Machine Learning, or related field. * 5+ years of experience designing and deploying applied ML systems at scale. * Experience with computer vision (CNNs, object detection, segmentation) and natural ...

Keylent Inc

Sr. GenAI Engineer MAHIN-JOB-32852

Irving, TX · On-site

$97K - $133K/yr

... Machine Learning • In-depth knowledge of machine learning, deep learning, and generative AI ... for image recognition, object detection, or image generation • Familiar with cloud-based ...

Varsity Tutors

Machine Learning Tutor

Dallas, TX · Remote

$40/hr

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

Varsity Tutors

Machine Learning Tutor

Fort Worth, TX · Remote

$40/hr

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

Varsity Tutors

Machine Learning Tutor

Irving, TX · Remote

$40/hr

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

Varsity Tutors

Machine Learning Tutor

Arlington, TX · Remote

$40/hr

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

Varsity Tutors

Machine Learning Tutor

Carrollton, TX · Remote

$40/hr

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

Crowe LLP

Machine Learning Intern

Dallas, TX

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

Shield AI

Senior Manager, Perception (R5914)

Dallas, TX · On-site

$240K - $360K/yr

... machine learning, and machine perception. You will develop cutting-edge technology onto real ... A solid foundation in theory related to state estimation, object detection, data association ...

USM

JB061761 - MLOps Engineer

Grapevine, TX · On-site

$80/hr

... detection, and model observability Strong understanding of machine learning fundamentals and ... object detection, item recognition) Exposure to RFID data integration or sensor fusion system ...

Shield AI

Senior Manager, Perception (R5914)

Dallas, TX · On-site

$240K - $360K/yr

... machine learning, and machine perception. You will develop cutting-edge technology onto real ... A solid foundation in theory related to state estimation, object detection, data association ...

Citi

Machine Learning Engineer Vice President

Irving, TX · On-site

$142K - $213K/yr

We are seeking a highly skilled and motivated Machine Learning Engineer to join our technology team ... Strong object-oriented programming skills with expert-level proficiency in Python. AI/ML Expertise:

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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:

Machine Learning Object Detection jobs near you
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.

Machine Learning Engineer

Frisco, TX • On-site

UNAVAILABLE
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Re-posted 10 days ago

Job description

Overview

Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team building the next generation of Intelligent Transportation Systems. In this role, you will design, develop, and deploy state-of-the-art computer vision and language models that power scalable, real-world solutions. You’ll work with large-scale image and video data, building and optimizing production-grade vision systems while contributing clean and modular code to shared repositories.

As part of our AI team, you’ll collaborate closely with engineering teams to deliver high-impact features for our growing SaaS platform. The ideal candidate brings hands‑on experience deploying computer vision and language models in production and applying MLOps best practices on cloud platforms.

Responsibilities
  • Fine‑tune and deploy computer vision and deep learning models for object detection, object tracking, and OCR at scale.
  • Develop vision‑language models and Mixture of Experts architectures, from experimental design through production deployment.
  • Architect Retrieval‑Augmented Generation (RAG) systems, including vector store design, hybrid search strategies, chunking pipelines, and context relevance evaluation.
  • Apply MLOps best practices for training, evaluation, deployment, and monitoring of production grade computer vision models, with an emphasis on clean, modular, maintainable code.
  • Contribute to our machine learning repositories and optimize models for performance, scalability, and real‑time inference across edge and cloud environments.
  • Drive performance optimization and scalability of ML systems across edge and cloud environments.
  • Collaborate with cross‑functional teams to integrate computer vision solutions into end‑to‑end products, translating research outcomes into measurable platform impact.

This list of responsibilities might not cover everything you'll end up doing.

Qualifications
  • 5+ years of hands‑on machine learning experience, with deep specialization in computer vision and a proven track record of shipping models to production.
  • Master's degree required (Ph.D. preferred) in Computer Science, Machine Learning, or a closely related field.
  • Extensive knowledge of computer vision architectures such as Vision Transformers and VLMs along with OpenCV and PIL.
  • Experience with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes) able to own the full model lifecycle from experimentation through production monitoring.
  • Experience building and deploying LLM-based systems and Retrieval‑Augmented Generation (RAG) pipelines, including vector store integration and retrieval evaluation.
  • Strong communicator who can translate complex research findings into actionable decisions for engineering and product stakeholders.
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