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

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 ...

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

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 ...

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, Inc.

Software Engineer II

Houston, TX · On-site

... 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 ...

Deloitte

AI Solutions Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Collaborating with architects, engineers, data scientists, and business stakeholders to align ... deep learning, or generative artificial intelligence solutions in production environments

NAVA Software Solutions

Staff Data Scientist

Spring, TX · On-site

... deep learning solutions. * DevOps & MLOps: Proficient in CI/CD pipelines, containerization (Docker, Kubernetes), and cloud platforms (Databricks, AWS, GCP, Azure). Experienced with infrastructure-as ...

Bot Auto

Senior ML/RL Engineer, Behavior Planning

Houston, TX · On-site

$99K - $137K/yr

... Engineer to develop their unified behavioral architecture. This role involves bridging the gap ... deep learning architectures and optimization techniques. • MS or PhD in Computer Science ...

Gene by Gene

Senior AI Developer

Houston, TX · On-site

$52 - $68.75/hr

They are seeking a Senior AI Developer to guide their AI/ML strategy and integrate generative-AI ... deep learning frameworks, or experience with managed training platforms. • GraphRAG patterns ...

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Deep Learning Developer information

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How much do deep learning developer jobs pay per hour?

As of Jul 18, 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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior Deep Learning Developer or AI research lead, often involving advanced skills in machine learning frameworks, data modeling, and programming. Such roles usually require extensive experience, specialized knowledge, and may include responsibilities like developing innovative AI solutions or leading AI teams in tech companies or research institutions.

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 roles expected to persist include AI ethics specialists and AI system trainers, as human oversight and ethical considerations remain essential. These jobs involve complex problem-solving and domain expertise that are difficult to fully automate.

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 engineer makes $500,000 a year?

Highly experienced deep learning developers or AI engineers with specialized skills in neural networks, large-scale data processing, and advanced machine learning frameworks can earn $500,000 or more annually, especially in senior or leadership roles at major tech companies or startups. Such roles often require advanced degrees, extensive experience, and a strong track record of deploying impactful AI solutions.

What engineers make $300,000 a year?

Deep learning developers and AI engineers with extensive experience, advanced skills in machine learning frameworks, and strong domain expertise can earn $300,000 or more annually, especially in high-demand industries or senior roles. Compensation often includes base salary, bonuses, and stock options, particularly at leading tech companies or startups with significant funding.
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
GIS Developer

GIS Developer

Mclaurin Aerospace

Houston, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

Are you passionate about human space exploration, understanding the origins of the universe, and working with a passionate and diverse team to make a difference? If you are, we need you!

We need your talent, teamwork, and energy to help us achieve great things that inspire people all over the globe. We need you to bring creative ideas and diverse backgrounds to help us envision, shape, and deliver systems that will enable the exploration of space while benefiting people here on Earth. We are excited about what we do, and we need you on our team as we take on exciting challenges for NASA's pursuits in deep space exploration.

We have an exciting opportunity for a GIS Developer to join our JETS II contract team at NASA Johnson Space Center in Houston, TX.

If selected you will:

  • Employ GIS and remote sensing techniques to Earth, Moon, and other planetary image data in support of International Space Station (ISS) and Artemis missions
  • Create, manage, and deploy data pipelines for imagery and geospatial products into web GIS, ArcGIS Enterprise, ArcPortal, and NASA internal applications
  • Develop planetary and Earth-based cartography products for NASA's human space flight missions and operations
  • Develop and manage geodatabases, versioning, data integrity, data catalogs, metadata and other related data information
  • Utilize and recommend automation techniques for dataset and imagery processing
  • Participate in science and imagery mission operations as needed
  • Develop and implement geospatial and data science QA/QC processes
  • Provide science services and technology products to a range of human exploration organizations including Artemis, Gateway, Orion, the lander/ascent systems, spacesuits, EVA, and ISS
  • Interact with scientists, engineers, and managers in a highly dynamic and occasionally time critical environment
  • Perform other duties as required

Qualifications:

This position has been posted at multiple levels. Depending on the candidate's experience, requirements, and business needs, we reserve the right to consider candidates at any level for which this position has been advertised.

  • Typically requires a bachelor's degree or equivalent certification in a related area and a minimum of 5 years of experience in the field or in a related area.
  • Geospatial database management, ArcGIS Online, Esri Portal, open-source GIS software, web and desktop-based GIS
  • Strong GIS programming skills
  • Experience with Earth and planetary remote sensing
  • Proficient computer skills (i.e. Microsoft Office suite, Adobe products)
  • Excellent oral and written communication skills and will be expected to effectively interact with teammates, customers, and management at all levels
  • Ability to prepare written documents and presentation to verbally present at various meetings
  • Ability to develop innovative and creative work ideas and work without specific tasking

Preferred Qualifications:

  • BS in geoscience, lunar science, planetary science, image science, GIS, remote sensing, computational science, or relevant science fields with applicable experience
  • Masters in geoscience, lunar science, planetary science, image science, GIS, remote sensing, computational science or relevant science fields with applicable experience
  • 5+ years of work experience
  • Software scripting, command line skills, automation of tasks, programming language - Machine learning, deep learning, neural networks
  • Mission science integration and operations
  • Previous work with NASA and/or in the field of planetary geology

Benefits

  • Competitive pay
  • Positive work-life balance
  • 100% Employer paid insurance including: Medical, dental, vision, life insurance, accidental death and dismemberment, short-term disability, and long-term disability
  • 11 paid holidays annually
  • Generous PTO
  • 401k after 12 months of service with employer match
  • Education assistance
  • Relocation assistance (if applicable)

Mclaurin is a unique organization with a special focus on combining the best features of research and industry in order to foster innovation. Our organization strongly supports research, publication, and engagement with the academic community. We encourage our employees to remain on the cutting edge of new developments in their respective disciplines.

US Citizenship and the ability to pass a comprehensive security background investigation is required.

Mclaurin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

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