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Deep Learning Developer Jobs in Houston, TX (NOW HIRING)

Augment

Principal Scientist, Data

Houston, TX · On-site

$80 - $83/hr

Design, train, fine-tune, and evaluate machine learning and deep learning models--including LLMs--for predictive analytics and automated decision-making. Data Engineering & Feature Development

The Jacobs Brand

GIS Developer

Houston, TX · On-site +1

Software scripting, command line skills, automation of tasks, programming language - Machine learning, deep learning, neural networks * Mission science integration and operations * Previous work with ...

Mclaurin Aerospace

GIS Developer

Houston, TX · On-site

Software scripting, command line skills, automation of tasks, programming language - Machine learning, deep learning, neural networks * Mission science integration and operations * Previous work with ...

Mclaurin Aerospace

GIS Developer

Houston, TX · On-site +1

Software scripting, command line skills, automation of tasks, programming language - Machine learning, deep learning, neural networks * Mission science integration and operations * Previous work with ...

Beth Page tech

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

Senior Machine Learning Engineer Location: Houston, TX Environment: Standard, 5-days onsite : Must ... Deep Neural Networks (DNN): * Hands-on experience with CNN, RNN, Graph Neural Networks, and ...

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$46K - $63K/yr

D. in one of the natural sciences, computer sciences, applied mathematics, engineering, or related fields or a medical degree. Experience with machine learning and deep learning techniques ...

US Tech Solutions

Senior AI Engineer #26-13102

Houston, TX

$101K - $139K/yr

AI/ML Model DevelopmentDesign, develop, and optimize machine learning and deep learning models ... Deploy models into production using APIs, containers, or microservices Work with DevOps to build CI ...

US Tech Solutions

Senior AI Engineer #26-13102

Houston, TX

$99K - $137K/yr

AI/ML Model DevelopmentDesign, develop, and optimize machine learning and deep learning models ... Deploy models into production using APIs, containers, or microservices Work with DevOps to build CI ...

US Tech Solutions

Senior AI Engineer #26-13102

Houston, TX

$95K - $131K/yr

AI/ML Model DevelopmentDesign, develop, and optimize machine learning and deep learning models ... Deploy models into production using APIs, containers, or microservices Work with DevOps to build CI ...

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$46K - $63K/yr

D. in one of the natural sciences, computer sciences, applied mathematics, engineering, or related fields or a medical degree. Experience with machine learning and deep learning techniques ...

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$46K - $63K/yr

D. in one of the natural sciences, computer sciences, applied mathematics, engineering, or related fields or a medical degree. Experience with machine learning and deep learning techniques ...

EOG Resources

Software Engineer II

Houston, TX

... or Software Developer. ALTERNATE EDUCATION: Master's Degree in Computer Science, Computer ... Deep Learning and Analysis of Algorithms. Position will be filled at level commensurate with ...

US Tech Solutions

Senior AI Engineer #26-13102

Houston, TX

$94K - $130K/yr

AI/ML Model DevelopmentDesign, develop, and optimize machine learning and deep learning models ... Deploy models into production using APIs, containers, or microservices Work with DevOps to build CI ...

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All JobsDeep Learning Developer JobsDeep Learning Developer Jobs in Houston, TX

Deep Learning Developer information

See Houston, TX salary details

$17

$36

$48

How much do deep learning developer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for deep learning developer in Houston, TX is $36.71, according to ZipRecruiter salary data. Most workers in this role earn between $31.20 and $40.87 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Deep Learning Developer, and why are they important?

To thrive as a Deep Learning Developer, you need a strong background in computer science, mathematics, and proficiency in programming languages like Python, often supported by a degree in a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, and experience with cloud platforms or GPU acceleration, are commonly required technical skills. Analytical thinking, problem-solving abilities, and effective teamwork distinguish top performers in this role. These competencies are crucial for designing, training, and deploying advanced neural network models that address complex real-world problems.

What are Deep Learning Developers?

Deep Learning Developers are specialized software engineers or data scientists who design, build, and implement artificial intelligence systems using deep learning techniques. They work with neural networks, large datasets, and various frameworks like TensorFlow or PyTorch to develop models for tasks such as image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, optimization, and deployment to solve complex problems that require advanced pattern recognition. Deep Learning Developers often collaborate with AI researchers, data engineers, and product teams to integrate intelligent features into applications.

Which 3 jobs will survive AI?

Deep Learning Developers are likely to continue to be in demand as AI advances because they design and improve AI models, requiring specialized skills in programming, mathematics, and data analysis. Other resilient roles include AI ethicists, who address ethical considerations, and AI system trainers, who curate and annotate data to improve AI performance. These jobs involve complex problem-solving and human oversight that are less easily automated.

What is the difference between Deep Learning Developer vs Machine Learning Engineer?

AspectDeep Learning DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with neural networksBachelor's or Master's in CS, Data Science, or related; knowledge of algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural networksData-driven companies, software firms, industries applying machine learning
Industry UsagePrimarily in AI research, neural network development, deep learning projectsBroader application including predictive modeling, data analysis, and ML systems

Deep Learning Developers specialize in neural networks and deep learning models, often working on AI research and complex algorithms. Machine Learning Engineers have a broader focus on developing, deploying, and maintaining machine learning models across various applications. While both roles require similar educational backgrounds, their focus areas and industry applications differ.

What are some common challenges Deep Learning Developers face when deploying models to production environments?

Deep Learning Developers often encounter challenges such as optimizing model performance for real-time inference, managing resource constraints (like GPU/CPU availability), and ensuring model reproducibility across different environments. Additionally, integrating deep learning models into existing software systems and maintaining them over time can be complex, especially as data and requirements evolve. Collaborating closely with DevOps, data engineers, and QA teams is essential to address these challenges and ensure smooth deployment and ongoing reliability.
What cities near Houston, TX are hiring for Deep Learning Developer jobs? Cities near Houston, TX with the most Deep Learning Developer job openings:
Deep Learning Developer jobs near you
Infographic showing various Deep Learning Developer job openings in Houston, TX as of June 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 91% Full Time, 1% Part Time, 2% Temporary, and 4% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $76,356 per year, or $36.7 per hour.

Principal Scientist, Data

Augment

Houston, TX • On-site

$80 - $83/hr

Other

Posted 3 days ago

Job description

Job Title: Data Scientist – AI/ML Focus
Worksite: Onsite Monday–Thursday (Mandatory) – Houston, TX

Must-Have Technologies: Snowflake, SQL, Palantir (or similar data decision/operational AI platform)

Position Summary

We are seeking a highly curious, proactive, and innovative Data Scientist with deep experience in AI/ML, NLP, and Large Language Models (LLMs). The ideal candidate will excel at blending complex datasets, building predictive and statistical models, and delivering AI-driven solutions that create measurable business impact.

This role will work hands-on with advanced LLMs and modern ML frameworks to design, train, deploy, and optimize AI applications within a real-world operational environment. You will partner closely with business and technical stakeholders to translate data science into clear, actionable strategies.

Key Responsibilities

AI/ML Model Development

  • Design, train, fine-tune, and evaluate machine learning and deep learning models—including LLMs—for predictive analytics and automated decision-making.

Data Engineering & Feature Development

  • Collect, clean, and analyze structured and unstructured data; engineer features to improve model accuracy and efficiency.

NLP & Agent-Based AI Applications

  • Build LLM-powered solutions using prompt engineering, fine-tuning, inference optimization, and agent-based architectures.

Business Decision Support

  • Convert statistical and ML findings into practical insights and recommendations that support strategic decisions.

End-to-End Deployment (MLOps)

  • Implement, deploy, and monitor ML models using best practices for reliability, scalability, and performance.

Data Storytelling & Communication

  • Create dashboards, visualizations, and presentations that clearly communicate insights to non-technical stakeholders.

Required Skills & Experience

Technical Expertise

  • Hands-on experience with AI/ML, NLP, LLM applications (GPT/BERT/LangChain), predictive modeling, and deep learning.
  • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
  • Advanced SQL skills and experience integrating data from multiple sources.
  • Experience with Snowflake, AWS (SageMaker, S3, Redshift), and automated ML pipelines.
  • Strong understanding of version control (Git) and collaborative development.

Soft Skills

  • Highly curious, innovative, and growth-oriented mindset.
  • Ability to drive projects independently from ideation to deployment.
  • Strong business acumen with the ability to align technical output to business needs.
  • Excellent communication skills with the ability to simplify technical concepts.

Preferred Qualifications

  • Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Statistics, Engineering, or another quantitative discipline.
  • Experience using BI or model-monitoring tools (Power BI, Dash, Streamlit).
  • Familiarity with reinforcement learning or agent-based AI systems.

Why This Role?

This opportunity is ideal for a Data Scientist who wants to work at the forefront of AI innovation—building advanced LLM-based solutions, deploying operational ML models, and driving real business impact within a forward-thinking organization.

Job Type: Full-time

Work Location: In person

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