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

Cisco

Principal Machine Learning Engineer

Houston, TX · On-site

The Principal Machine Learning Engineer will define the vision for AI across platforms, lead the ... Preferred : • Deep NLP & Domain‑Adapted LLMs: Background in building and adapting large‑scale ...

Talentry, LLC

Be Seen First

Machine Learning Guru (Autonomous Navigation)**

Houston, TX · Remote

$200K - $300K/yr

... Engineer 200-300k Remote position possible Description * Develop solutions for autonomous driving, from experimentation to full commercialization. * Explore new ideas using deep learning, neural ...

PROS

Machine Learning Engineer II

Houston, TX

$93.10K - $127.50K/yr

Machine Learning Engineer II About PROS: PROS, Inc. is the leading offer management provider to the ... Experience with deep learning frameworks (TensorFlow and/or PyTorch). * Strong understanding of ...

Oxy

AI Machine Learning Engineer

Houston, TX · On-site

... Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The ... A minimum of 5 years of experience and deep knowledge in orchestration methods and tools to ...

Oxy

AI Machine Learning Engineer

Houston, TX

... Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The ... A minimum of 5 years of experience and deep knowledge in orchestration methods and tools to ...

Pivotal Solutions

Senior AI Engineer

Houston, TX · On-site

$99.80K - $137K/yr

Expertise in AI/ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and the end-to ... Strong programming skills in Python and proficiency with relevant libraries (e.g., NumPy, Pandas ...

Cisco

Principal Machine Learning Engineer

Houston, TX

$291.50K - $369.10K/yr

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Partner with executive leadership, engineering, product, and data science teams to ensure AI ...

Pivotal Solutions Inc

Senior AI Engineer

Houston, TX

$117K - $154.20K/yr

Expertise in AI/ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and the end-to ... Strong programming skills in Python and proficiency with relevant libraries (e.g., NumPy, Pandas ...

Varsity Tutors

Machine Learning Tutor

Missouri City, TX · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Pearland, TX · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Sugar Land, TX · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

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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 3, 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 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 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 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 May 2026, with employment types broken down into 35% Full Time, 59% Part Time, 5% Contract, and 1% Nights. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $76,356 per year, or $36.7 per hour.

Senior Machine Learning Engineer - Deep & Reinforcement Learning

Kanak Elite Services Inc

Houston, TX • On-site

$99.80K - $137K/yr

Contractor

Posted 17 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Senior Machine Learning Engineer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position           : Senior Machine Learning Engineer – Deep & Reinforcement Learning

Location          : Houston, TX Onsite

Duration         : Long term contract

Required skills:
- Degree in STEM field, Ph.D preferred.
- Master in Deep Learning, Reinforcement Learning, and multimodal large language model.
- Strong Pytorch or TensorFlow programming
- Machine Learning and Statistical Modelling - Mastery
- Exploratory Analysis
- Core Programming Skills & Languages
- AI Engineering Essentials
- DevOps and Agile
- Cloud deployment frameworks, infrastructure, and tooling