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

... modern deep learning; exposure to reinforcement learning is a strong plus. โ€ข Proficiency in ... engineering from experts who will challenge your assumptions. โ€ข A self-starter who asks good ...

Machine Learning Engineer II

Houston, TX ยท On-site

$93K - $127K/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 ...

Machine Learning Engineer II

Houston, TX ยท On-site

$93K - $127K/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 ...

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

Senior AI Engineer

Houston, TX ยท On-site

$99K - $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 ...

... 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 ...

... 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 ...

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 ...

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Deep Learning Engineer information

See Houston, TX salary details

$36.3K

$110.6K

$182.8K

How much do deep learning engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for deep learning engineer in Houston, TX is $110,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,200.00 and $144,600.00 per year, depending on experience, location, and employer.

What is a Deep Learning Engineer job?

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 are the key skills and qualifications needed to thrive in the Deep Learning Engineer position, and why are they important?

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.

What are the typical daily tasks and responsibilities of a Deep Learning Engineer?

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 cities near Houston, TX are hiring for Deep Learning Engineer jobs? Cities near Houston, TX with the most Deep Learning Engineer job openings:
Infographic showing various Deep Learning Engineer job openings in Houston, TX as of June 2026, with employment types broken down into 9% Internship, 73% Full Time, and 18% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $110,596 per year, or $53.2 per hour.

Senior Machine Learning Engineer - Deep & Reinforcement Learning

Kanak Elite Services Inc

Houston, TX โ€ข On-site

$99K - $137K/yr

Contractor

Posted 27 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

Positionย ย ย ย ย ย ย ย ย ย  : Senior Machine Learning Engineer โ€“ Deep & Reinforcement Learning

Locationย ย ย ย ย ย ย ย ย  : Houston, TXย Onsite

Durationย ย ย ย ย ย ย ย  : 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