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Machine Learning Object Detection Jobs in San Antonio, TX

... machine learning models and analytical solutions to address business problems, including forecasting, segmentation, classification, and anomaly detection. • Contribute to the development and ...

Computer Vision Engineer - UAS

San Antonio, TX · On-site

$100K - $118K/yr

This role is critical to delivering robust onboard vision capabilities - object detection, tracking ... Master's or PhD in Computer Vision, Machine Learning, Robotics, or related field * Prior experience ...

Design, develop, and deploy machine learning models and analytical solutions to address business problems, including forecasting, segmentation, classification, and anomaly detection. * Contribute to ...

Design, develop, and deploy machine learning models and analytical solutions to address business problems, including forecasting, segmentation, classification, and anomaly detection. * Contribute to ...

Design, develop, and deploy machine learning models and analytical solutions to address business problems, including forecasting, segmentation, classification, and anomaly detection. * Contribute to ...

Designs, develops, and deploys machine learning (ML) models within Snowflake-based data pipelines ... Explores and analyzes structured and unstructured data to detect trends, anomalies, and ...

Senior Data Engineer

San Antonio, TX · On-site +1

$130K - $150K/yr

Understanding of machine learning models and the data requirements needed to support Data Science ... Strong programming skills in object-oriented/functional scripting languages such as Python and ...

Senior Data Engineer

San Antonio, TX · On-site

$130K - $150K/yr

Understanding of machine learning models and the data requirements needed to support Data Science ... Strong programming skills in object-oriented/functional scripting languages such as Python and ...

New

Designs, develops, and deploys machine learning (ML) models within Snowflake-based data pipelines ... Explores and analyzes structured and unstructured data to detect trends, anomalies, and ...

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Machine Learning Object Detection information

See San Antonio, TX salary details

$28.4K

$116.1K

$174.5K

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

As of Aug 27, 2026, the average yearly pay for machine learning object detection in San Antonio, TX is $116,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,600.00 and $139,800.00 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 are popular job titles related to Machine Learning Object Detection jobs in San Antonio, TX?

For Machine Learning Object Detection jobs in San Antonio, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Object Detection jobs in San Antonio, TX look for?

The top searched job categories for Machine Learning Object Detection jobs in San Antonio, TX are:

What cities near San Antonio, TX are hiring for Machine Learning Object Detection jobs?

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

Infographic showing various Machine Learning Object Detection job openings in San Antonio, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,149 per year, or $55.8 per hour.

Machine Learning Engineer with Security Clearance

San Antonio, TX • On-site

Other

Medical, Retirement, PTO

Re-posted 14 days ago


Job description

Job Title: Machine Learning Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local * * * The Opportunity: The 35th Intelligence Squadron seeks a motivated AI/ML Engineer to develop and deploy complex Artificial Intelligence systems defending the Department of Defense Air Force Information Network (AFIN). The role requires anomaly detection algorithms for identifying and isolating malicious threats using supervised and unsupervised learning, Graph Neural Networks, and Deep Learning models. You will drive our cyber threat intelligence and detection mission by providing expert leadership and mentorship in advanced AI/ML solutions, augmenting cyber threat analysts triaging 1TB+ of boundary device logs daily to produce defensible intelligence reports with real mission consequences. You will provide technical direction for the design, implementation, testing, deployment, and operation of the 35 IS's cyber threat detection methods and enabling systems. Responsibilities: * Design & Deploy: Architect, build, and deploy high-performance ML models with 1TB+ daily ingestion across heterogeneous data sources into production, ensuring scalability, reliability, and low latency.
* Drive the ML Lifecycle: Lead data preparation, model development, evaluation, monitoring, drift detection, and continuous retraining within mission-aligned constraints.
* Model Innovation: Develop and implement state-of-the-art algorithms, specifically a hybrid GNN and BiLSTM architecture operating on a continuously updated heterogeneous network graph.
* Optimize: Improve model performance through feature engineering, hyperparameter tuning, and advanced experimentation.
* Mentorship: Mentor junior software developers and provide technical guidance and expertise.
* Logistics: Ensure appropriate documentation for all delivered analytics. Build explainability into the product from the beginning to support defensible intelligence reports. Ensure analyst trust is a design requirement, not an afterthought.
* Innovation: Guide analytic approaches where information is incomplete or no precedent exists. Apply that experience to real constraints: classification boundaries, data that cannot be shared with vendors, upstream pipeline failures, and out of order log delivery. Qualifications: Required: * Clearance: Active TS/SCI security clearance.
* Certification: DOD Directive 8140.01 (Security+ or equivalent must be obtained within 6 months of hire).
* Experience: 5+ years in Machine Learning focused on deploying models into production.
* Education: Master's in Data Science, AI, or related quantitative field preferred.
* Technical Skills: Deep knowledge of ML frameworks such as PyTorch or TensorFlow.
* Programming: Strong Python. ML libraries including Spark MLlib, Scikit-learn, XGBoost, Keras, Hugging Face, PyTorch Geometric, MLflow. Explainability tools such as SHAP, GNNExplainer, or attention-based interpretation methods.
* Data: Extensive experience incorporating data from multiple sources, labeling data for training, and identifying hidden patterns.
* Visualization: Matplotlib, Grafana, or Kibana. Communication: Ability to communicate complex problems and solutions to non-technical leadership.
Desired: * 2+ years developing analytic solutions at scale over multiple PB of data.
* Experience with: * Elasticsearch (ELK stack) and Lucene.
* Docker/Kubernetes and containerized products.
* CI/CD pipelines and Git.
* Data pipelines - Pandas, NumPy, NiFi, Kafka, or similar.
* Confluence, Jira, and collaborative platform experience.
* Software engineering best practices across the full development lifecycle.
* Familiarity with network defense, cybersecurity principles, and threat hunting.
* Familiarity with data collection, storage, and monitoring. - What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. The proposed salary range for this position is: $93,500 - $196,500 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.