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Tensorflow Pytorch Jobs in Forney, TX (NOW HIRING)

Fluent in Python and C/C++, and at home in TensorFlow, PyTorch, or similar platforms. Problem solver and communicator - ready to connect, share, and lead in a diverse, cross-functional team. Bonus ...

... home in TensorFlow, PyTorch, or similar platforms. • Problem solver and communicator - ready to connect, share, and lead in a diverse, cross-functional team. Bonus Points: • Strong grasp of ...

... TensorFlow, PyTorch). · Practical experience with LLMs, prompt engineering, RAG systems, LangChain, LangSmith, CrewAI, vector databases, and other modern GenAI tools. · Experience building rapid ...

Familiarity with popular conversational AI platforms and frameworks (e.g., TensorFlow, PyTorch, or Hugging Face Transformers) is beneficial for leveraging pre-trained models and integrating prompt ...

AI/ML Tech Partner (USA)

Dallas, TX · On-site

$115K/yr

Deep expertise in machine learning, statistical modeling, optimization, and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn) * Strong programming skills in Python and SQL, with experience in ...

... TensorFlow, PyTorch). · Practical experience with LLMs, prompt engineering, RAG systems, LangChain, LangSmith, CrewAI, vector databases, and other modern GenAI tools. · Experience building rapid ...

Familiarity with popular conversational AI platforms and frameworks (e.g., TensorFlow, PyTorch, or Hugging Face Transformers) is beneficial for leveraging pre-trained models and integrating prompt ...

Exposure to Python ML/agent tools like TensorFlow, PyTorch, or LangChain. Data preprocessing and feature engineering with structured and unstructured data. Strong OOP and design patterns, Git, unit ...

AI/ML Tech Partner (USA)

Dallas, TX · On-site

$115K/yr

Deep expertise in machine learning, statistical modeling, optimization, and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn) * Strong programming skills in Python and SQL, with experience in ...

... TensorFlow, PyTorch). * experience with LLMs, prompt engineering, RAG systems, LangChain, LangSmith, CrewAI, vector databases, and other modern GenAI tools. * building rapid prototypes, POCs, and ...

AI/ML Tech Partner (USA)

Dallas, TX · On-site

$115K/yr

Deep expertise in machine learning, statistical modeling, optimization, and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn) * Strong programming skills in Python and SQL, with experience in ...

Deep expertise in machine learning, statistical modeling, optimization, and AI frameworks (e.g., TensorFlow, PyTorch, scikit‑learn) * Strong programming skills in Python and SQL, with experience in ...

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Tensorflow Pytorch information

See Forney, TX salary details

$33.8K

$110.6K

$177K

How much do tensorflow pytorch jobs pay per year?

As of Jul 10, 2026, the average yearly pay for tensorflow pytorch in Forney, TX is $110,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,700.00 and $122,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Deep Learning Engineer specializing in TensorFlow and PyTorch, and why are they important?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.
What job categories do people searching Tensorflow Pytorch jobs in Forney, TX look for? The top searched job categories for Tensorflow Pytorch jobs in Forney, TX are:
What cities near Forney, TX are hiring for Tensorflow Pytorch jobs? Cities near Forney, TX with the most Tensorflow Pytorch job openings:
Staff Engineer, Agentic Models

Staff Engineer, Agentic Models

Hop

Dallas, TX

Full-time

Re-posted 21 days ago


Job description

If you're a builder with a passion for AI, a global semiconductor company wants you on our SoC AI team as a Staff Engineer focused on agentic models. We're redefining how autonomous systems interact with the real world, and we need creative minds who thrive in rapid-paced, mission-driven environments. Here, you'll gain unique experience integrating AI models with both software and hardware, learning how to make autonomous systems function seamlessly across the entire stack. You'll take models from initial concept through training, fine-tuning, and RL, deploying them for agentic systems. We're laser-focused on innovation and adaptability - here, your ideas will shape the next wave of smart, agentic devices.
What You'll Do:
Own the full lifecycle of agentic AI models: architect, train, fine-tune, and optimize it for AI agents.
Work hand-in-hand with hardware, software, and product teams to put advanced, autonomous behaviors into smart agentic systems.
Prototype with the latest RL and multi-agent paradigms, pushing boundaries and making models work in the real world - even when resources are tight.
Constantly iterate - tune for speed, reliability, efficiency, and seamless integration with embedded hardware.
Identify new ways to leverage agentic models across edge and embedded AI, staying ahead of the curve and championing next-gen applications.
Who You Are:
Deeply hands-on with AI model development for agentic systems - your GitHub showcases innovative real-world projects, or you have published technical papers in top conferences demonstrating your creative and practical expertise.
Experience in autonomous agent modeling, RL, adaptive algorithms, and frameworks like RAG, persistent memory, and multi-agent collaboration.
Fluent in Python and C/C++, and at home in TensorFlow, PyTorch, or similar platforms.
Problem solver and communicator - ready to connect, share, and lead in a diverse, cross-functional team.
Bonus Points:
Strong grasp of optimizing AI on any hardware for strict resource budgets.
Track record of launching real-world models and AI-powered products that users love.
Why Join Us?
You'll be at the epicenter of game-changing AI innovation, driving the evolution of intelligent embedded systems that are poised to transform entire industries. Join forces with brilliant engineers, tap into breakthrough technologies, and play a pivotal role in revolutionizing automotive, industrial automation, and IoT. Here, your contributions won't just move the needle - they'll redefine what's possible and shape the future of smart devices worldwide.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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About Hop

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

West Hollywood, CA, US

Year founded

2020