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

Goldenpick Technologies LLC

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Design, develop, and optimize machine learning and deep learning models * Build NLP, computer ... Data Engineering & Processing (Optional) * Collect, clean, and preprocess structured and ...

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 ...

Augment

Principal Scientist, Data

Houston, TX

$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

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 · On-site

$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 ...

Pwc

AI Engineer

Houston, TX · On-site

$50K - $112K/yr

... deep learning methods for advanced AI applications - Managing data quality and infrastructure to support reliable AI operations - Engaging in continuous learning to adapt to new technologies and ...

Jobtailor

AI/ML Platform Engineer

Spring, TX · On-site

$147.05 - $230.85/hr

Deep Learning * Java (Programming Language) * Machine Learning * Microsoft Azure * Natural Language Processing * Python (Programming Language) * PyTorch (Machine Learning Library) * Scikit‑learn ...

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

Deep Learning Engineer information

See Houston, TX salary details

$36.3K

$110.6K

$182.9K

How much do deep learning engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for deep learning engineer in Houston, TX is $110,647.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,300.00 and $144,700.00 per year, depending on experience, location, and employer.

What is a deep learning engineer?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

What does a deep learning engineer do?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

What skills and qualifications does a deep learning engineer need?

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

Are deep learning engineers in demand?

Deep learning engineers are in high demand due to the growth of artificial intelligence and machine learning applications across industries such as technology, healthcare, and finance. They typically require skills in neural networks, programming languages like Python, and frameworks such as TensorFlow or PyTorch, with job opportunities increasing as AI adoption expands.

What are popular job titles related to Deep Learning Engineer jobs in Houston, TX?

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What job categories do people searching Deep Learning Engineer jobs in Houston, TX look for?

The top searched job categories for Deep Learning Engineer jobs in Houston, TX are:

What cities near Houston, TX are hiring for Deep Learning Engineer jobs?

Cities near Houston, TX with the most Deep Learning Engineer job openings:

Deep Learning Engineer jobs near you
Infographic showing various Deep Learning Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $110,647 per year, or $53.2 per hour.

Senior AI Engineer

Goldenpick Technologies LLC

Houston, TX • On-site

$99K - $137K/yr

Other

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Senior AI Engineer
Location - Houston, TX (onsite)
 
 
Responsibilities
  • AI/ML Model Development
  • Design, develop, and optimize machine learning and deep learning models
  • Build NLP, computer vision, or predictive analytics solutions
  • Train, test, and evaluate models for accuracy, scalability, and performance
  • Fine-tune pre-trained models (e.g., LLMs, transformers) for business use cases
  • Data Engineering & Processing (Optional)
  • Collect, clean, and preprocess structured and unstructured datasets
  • Work with large-scale data pipelines and streaming data systems
  • Implement feature engineering and data transformation workflows
  • Deployment & MLOps
  • Deploy models into production using APIs, containers, or microservices
  • Work with DevOps to build CI/CD pipelines for ML workflows (MLOps)
  • Monitor model performance, drift, and reliability in production
  • Optimize latency, throughput, and cost efficiency
  • Cloud & System Integration
  • Integrate AI solutions into cloud platforms (AWS)
  • Work with services like SageMaker, Azure ML, Vertex AI, or OpenAI APIs
  • Collaborate with DevOps, backend, and frontend teams for implementation
  • Research & Innovation
  • Stay up to date with emerging AI technologies and frameworks
  • Evaluate and implement GenAI, LLMs, and prompt engineering techniques
  • Prototype and experiment with new AI-driven solutions
 
Skills Must have
  • Programming: Python (preferred), Java, or Scala
  • ML Frameworks: TensorFlow, PyTorch, Scikit-learn
  • AI/GenAI: prompt engineering (preferred), Claude CLI / Code(preferred), LLMs(preferred) Hugging Face, OpenAI APIs
  • Data Tools (Optional): Pandas, NumPy, Spark
  • APIs & Microservices development
  • Version control (Git)
  • Cloud & DevOps
  • Experience with AWS
  • Containers: Docker, ECS/EKS
  • CI/CD pipelines (GitHub Actions Or Jenkins Or GitLab CI)
  • Data & Systems
  • Databases: SQL, NoSQL
  • Familiarity with data pipelines and ETL processes (Optional)
  • Understanding of distributed systems

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