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Tensorflow Engineer Jobs in Texas (NOW HIRING)

Engineer

Houston, TX · On-site

$100K - $150K/yr

As an Engineer in the Information industry, you will play a pivotal role in designing and ... Experience with machine learning frameworks such as TensorFlow or PyTorch. * Familiarity with ...

... PyTorch/ TensorFlow, cloud services, and MLOps practices. Software Engineering: • Python proficiency. • Very good understanding and work experience with REST APIs, JSON, YAML. • Ability to ...

Senior Deep Learning Engineer

Austin, TX · On-site +1

$130K - $180K/yr

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with ... Proficiency in deep learning frameworks like Tensorflow and/or PyTorch * Experience with CNNs ...

Java AI Engineer-C2C

Austin, TX · On-site

$51.25 - $70.50/hr

Java AI Engineer-NO OPT and H1B Location: Austin, TX/ Sunnyvale, CA (Sunnyvale - 2 Positions ... Familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch, OpenCV)

Business Area: Engineering Seniority Level: Mid-Senior level Cloudera is looking for a Staff ... Experience with data science and machine learning tools (R, Python, Tensorflow, Spark) * Deep ...

Expert AI Engineer

Austin, TX · On-site

$147K - $210K/yr

Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. * Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. What we ...

Expert AI Engineer

Dallas, TX · On-site

$147K - $210K/yr

Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. * Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. What we ...

Expert AI Engineer

Houston, TX · On-site

$147K - $210K/yr

Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. * Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. What we ...

Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc. * Strong knowledge of CI/CD , and DevOps principles. * Experience with Docker and containerized application ...

... frameworks (TensorFlow, PyTorch) or scientific computing. • Experience with DevOps tools (Docker, Kubernetes, CI/CD pipelines) Company : Allen Control Systems develops autonomous defense ...

... frameworks (TensorFlow, PyTorch) or scientific computing. • Experience with DevOps tools (Docker, Kubernetes, CI/CD pipelines) Company : Allen Control Systems develops autonomous defense ...

Senior AI Engineer

Houston, TX · 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 ...

Engineering Seniority Level: Mid-Senior level At Cloudera, we empower people to transform complex ... Experience with data science and machine learning tools (R, Python, Tensorflow, Spark) * Deep ...

Engineering Seniority Level: Mid-Senior level At Cloudera, we empower people to transform complex ... Experience with data science and machine learning tools (R, Python, Tensorflow, Spark) * Deep ...

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Showing results 1-20

Tensorflow Engineer information

See Texas salary details

$30.7K

$87.6K

$135.6K

How much do tensorflow engineer jobs pay per year?

As of Jul 23, 2026, the average yearly pay for tensorflow engineer in Texas is $87,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $101,100.00 per year, depending on experience, location, and employer.
What cities in Texas are hiring for Tensorflow Engineer jobs? Cities in Texas with the most Tensorflow Engineer job openings:

Engineer

Urnet Inc

Houston, TX • On-site

$100K - $150K/yr

Full-time

Posted 26 days ago


Job description

About the Role:

As an Engineer in the Information industry, you will play a pivotal role in designing and implementing advanced systems that leverage Artificial Neural Networks to solve complex problems. Your work will directly contribute to the development of innovative solutions that enhance operational efficiency and drive technological advancements. You will collaborate with cross-functional teams to ensure that systems are robust, scalable, and meet the highest standards of quality. This position requires a deep understanding of C++ programming to develop and optimize algorithms that power our neural network models. Ultimately, your contributions will help shape the future of our technology offerings and improve user experiences across various applications.

Minimum Qualifications:

  • Bachelor's degree in Engineering, Computer Science, or a related field.
  • Proven experience in developing applications using C++.
  • Strong understanding of Artificial Neural Networks and their applications in systems engineering.

Preferred Qualifications:

  • Master's degree in a relevant field.
  • Experience with machine learning frameworks such as TensorFlow or PyTorch.
  • Familiarity with software development methodologies and tools.

Responsibilities:

  • Design, develop, and implement algorithms using Artificial Neural Networks to address specific engineering challenges.
  • Write and maintain high-quality C++ code to support system functionalities and performance optimization.
  • Collaborate with software developers, data scientists, and other engineers to integrate neural network solutions into existing systems.
  • Conduct system testing and validation to ensure reliability and accuracy of the implemented solutions.
  • Document technical specifications and provide training to team members on new technologies and methodologies.

Skills:

The required skills in Artificial Neural Networks will be utilized daily to create models that can learn from data and improve over time, ensuring that our systems remain cutting-edge. Proficiency in C++ is essential for writing efficient code that can handle complex computations and large datasets, which is a core part of our engineering processes. Systems engineering skills will be applied to integrate various components of our technology stack, ensuring seamless operation and performance. Additionally, preferred skills such as experience with machine learning frameworks will enhance your ability to implement state-of-the-art solutions. Overall, these skills will enable you to contribute effectively to projects that require innovative thinking and technical expertise.