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Computer Vision Scientist Jobs in Houston, TX (NOW HIRING)

HP Development Company, L.P.

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

PhD related to AI or a Master's degree in computer science or a related field and 5+ years of ... Health insurance Dental insurance Vision insurance Long term/short term disability insurance ...

Hp

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

PhD related to AI or a Master's degree in computer science or a related field and 5+ years of ... Health insurance Dental insurance Vision insurance Long term/short term disability insurance ...

Cencora

Computer Operator II

Sugar Land, TX · On-site

... computer sciences or similar vocations generally obtained through completion of a two year ... In addition to traditional offerings like medical, dental, and vision care, we also provide a ...

BIGDATAAPPTECH LLC

Senior AL/ML Engineer

Texas City, TX · On-site

$89K - $122K/yr

Build applications leveraging Natural Language Processing (NLP) and Computer Vision. Collaborate ... Qualifications Bachelor s or master s degree Computer Science, Engineering, or related field.

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Showing results 21-40

All JobsComputer Vision Scientist JobsComputer Vision Scientist Jobs in Houston, TX

Computer Vision Scientist information

See Houston, TX salary details

$48.2K

$106.3K

$131.3K

How much do computer vision scientist jobs pay per year?

As of Aug 17, 2026, the average yearly pay for computer vision scientist in Houston, TX is $106,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $130,800.00 per year, depending on experience, location, and employer.

What is the difference between Computer Vision Scientist vs Machine Learning Engineer?

AspectComputer Vision ScientistMachine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fieldsBachelor's or Master's in Computer Science, Software Engineering, or related fields
Work EnvironmentResearch labs, R&D departments, academiaProduct teams, software development environments
Industry UsageDeveloping algorithms for image/video analysis, object detectionBuilding scalable ML models for various applications including vision

While both roles involve machine learning, Computer Vision Scientists focus on developing algorithms specifically for visual data, whereas Machine Learning Engineers implement and deploy these models in real-world applications. The roles often overlap but differ mainly in their primary focus and work environment.

What are the key skills and qualifications needed to thrive as a computer vision scientist?

A Computer Vision Scientist needs a strong background in mathematics, machine learning, and image processing, often supported by a graduate degree in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and experience with libraries like OpenCV are typically required. Creative problem-solving, critical thinking, and effective communication help distinguish top performers in this role. These skills are essential for developing innovative computer vision solutions that can be effectively integrated into real-world applications.

What are some common challenges faced by computer vision scientists when deploying models to production environments?

Computer Vision Scientists often encounter challenges such as ensuring model robustness under varying real-world conditions, optimizing inference speed for deployment on resource-constrained devices, and managing large-scale data for continuous model improvement. Collaboration with engineering teams is crucial to integrate models efficiently into existing software pipelines and to address issues like latency and scalability. Additionally, maintaining high accuracy while minimizing false positives and negatives in live environments requires ongoing monitoring and iterative improvement.

What is a computer vision scientist?

Computer Vision Scientists are professionals who develop algorithms and models that allow computers to interpret and understand visual information from the world, such as images and videos. They use techniques from machine learning, artificial intelligence, and image processing to solve problems like object detection, facial recognition, and scene understanding. Their work is essential in fields such as autonomous vehicles, healthcare imaging, robotics, and augmented reality. Computer Vision Scientists often collaborate with engineers and domain experts to create practical applications and improve existing technologies.

What are popular job titles related to Computer Vision Scientist jobs in Houston, TX?

For Computer Vision Scientist jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Computer Vision Scientist jobs in Houston, TX look for?

The top searched job categories for Computer Vision Scientist jobs in Houston, TX are:

Computer Vision Scientist jobs near you
Infographic showing various Computer Vision Scientist job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $106,329 per year, or $51.1 per hour.

Data Science Analyst - Agentic AI Developer

NRG

Houston, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

As an NRG employee, we encourage you to take charge of your career and development journey. We invite you to explore exciting opportunities across our businesses. You'll find that our dynamic work environment provides variety and challenge. Your growth is key to our ongoing success-take the lead in shaping your career development, goals and future!
Job Summary:
NRG Energy is seeking a Data Science Analyst - Agentic AI Developer to design, develop, and deploy AI-powered solutions that improve decision-making, automate business processes, and generate actionable insights across the organization. This role combines data science, machine learning, software engineering, and agentic AI development to solve complex business challenges in the energy industry. The ideal candidate is comfortable working across the full AI lifecycle-from data acquisition and model development to deployment, monitoring, and continuous improvement-and thrives in a collaborative, fast-paced environment.
Essential Duties/Responsibilities:
  • Collect, clean, integrate, and preprocess large structured and unstructured datasets to support advanced analytics, machine learning, and AI applications.
  • Design, develop, deploy, and optimize machine learning models for forecasting, predictive analytics, anomaly detection, recommendation systems, classification, and operational optimization.
  • Build AI-powered applications using large language models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, APIs, and workflow automation to improve productivity and streamline business processes.
  • Rapidly prototype, test, and deploy scalable AI solutions, translating ambiguous business challenges into practical, production-ready applications.
  • Develop scalable data pipelines, reusable software components, APIs, and AI workflows that integrate enterprise data sources and operational systems.
  • Collaborate with business stakeholders, software engineers, data engineers, analysts, and subject matter experts to integrate AI capabilities into business workflows.
  • Analyze complex datasets to identify trends, generate actionable insights, and communicate findings through dashboards, reports, and data visualizations for both technical and non-technical audiences.
  • Monitor, evaluate, and continuously improve AI models and applications to ensure accuracy, scalability, reliability, governance, and responsible AI practices.
  • Stay current with emerging AI, machine learning, and data science technologies, evaluating opportunities to drive innovation and business value.

Working Conditions:
  • Fully in-office position based in Houston, TX or Princeton, NJ, with flexibility to work outside normal business hours as needed to support critical business operations and project milestones.

Minimum Requirements:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Quantitative Finance, or a related quantitative discipline; Master's degree preferred.
  • Three or more years of professional experience in data science, machine learning, AI application development, or advanced analytics.
  • Strong proficiency in Python and SQL, with experience processing large datasets and developing production-quality software.
  • Experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar technologies.
  • Experience developing AI applications using LLMs, prompt engineering, RAG, AI agent frameworks, vector databases, REST APIs, and modern software development tools (Git, Docker).
  • Experience with cloud platforms (AWS, Azure, or Google Cloud), data visualization tools (Power BI, Tableau, Plotly, or Matplotlib), and building scalable data pipelines.
  • Strong understanding of statistics, feature engineering, model evaluation, and MLOps fundamentals.
  • Excellent analytical, communication, and problem-solving skills, with the ability to independently manage multiple priorities, collaborate across multidisciplinary teams, and deliver high-quality AI solutions with professionalism, integrity, and a commitment to continuous learning.

Preferred Qualifications:
  • Experience with LangGraph, LangChain, Semantic Kernel, CrewAI, or similar orchestration frameworks; NLP, Generative AI, Computer Vision, Spark, Databricks, MLflow, Kubernetes, time-series forecasting, energy markets, or cloud-native AI services (e.g., Azure OpenAI, Amazon Bedrock, Google Vertex AI) is highly desirable

NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Vet/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.
Official description on file with Talent.
We support the use of AI tools to help you prepare for your interview (e.g., practicing responses, researching the role, or refining your resume). However, during interviews and assessments, we expect responses to reflect your own thinking, experience, and communication. Use of AI to generate or read answers in real time, complete assessments, or misrepresent your qualifications is not permitted and may impact your candidacy.
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About NRG

Sourced by ZipRecruiter

At NRG, we're bringing the power of energy to people and organizations by putting customers at the center of everything we do. We generate electricity and provide energy solutions and natural gas to millions of customers through our diverse portfolio of retail brands. A Fortune 500 company, operating in the United States and Canada, NRG delivers innovative solutions while advocating for competitive energy markets and customer choice, working towards a sustainable energy future. More information is available at www.nrg.com. Connect with NRG on Facebook, LinkedIn and follow us on Twitter @nrgenergy.

Industry

Oil and coal products manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Houston, TX, US

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