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Tensorflow Jobs in California (NOW HIRING)

Python (Advanced), Machine Learning frameworks (TensorFlow/PyTorch) Mandatory: Kubernetes experience and cloud-native development practices Required Skills & Experience • Primary Technologies:

Python developer

Fremont, CA · On-site

$55 - $75.75/hr

Strong background in AI/ML with experience using frameworks such as TensorFlow, PyTorch, or Scikit-learn * Proficiency in data handling and manipulation using libraries like NumPy and Pandas

Design, build, train, and evaluate AI/ML models using Python, TensorFlow, PyTorch, or JAX . * Develop clean training pipelines with data loading, checkpointing, logging, validation, and experiment ...

Design, build, train, and evaluate AI/ML models using Python, TensorFlow, PyTorch, or JAX . * Develop clean training pipelines with data loading, checkpointing, logging, validation, and experiment ...

Design, build, train, and evaluate AI/ML models using Python, TensorFlow, PyTorch, or JAX . * Develop clean training pipelines with data loading, checkpointing, logging, validation, and experiment ...

Design, build, train, and evaluate AI/ML models using Python, TensorFlow, PyTorch, or JAX . * Develop clean training pipelines with data loading, checkpointing, logging, validation, and experiment ...

Design, build, train, and evaluate AI/ML models using Python, TensorFlow, PyTorch, or JAX . * Develop clean training pipelines with data loading, checkpointing, logging, validation, and experiment ...

Design, build, train, and evaluate AI/ML models using Python, TensorFlow, PyTorch, or JAX . * Develop clean training pipelines with data loading, checkpointing, logging, validation, and experiment ...

AI Engineer

Sunnyvale, CA · Hybrid

$225K - $300K/yr

Key Responsibilities Design and develop AI/ML models using Python, TensorFlow, PyTorch, and ONNX. Optimize model performance and deploy solutions across distributed automotive environments.

Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers. * Architect and implement ...

Python Developer

Fremont, CA · On-site

$55 - $75.75/hr

Strong background in AI/ML with experience using frameworks such as TensorFlow, PyTorch, or Scikit-learn * Proficiency in data handling and manipulation using libraries like NumPy and Pandas

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Tensorflow information

See California salary details

$37K

$121.1K

$193.9K

How much do tensorflow jobs pay per year?

As of Jul 1, 2026, the average yearly pay for tensorflow in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

What is a TensorFlow job?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

What are typical daily responsibilities for someone working in a TensorFlow Developer role?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.

What are the key skills and qualifications needed to thrive in the Tensorflow position, and why are they important?

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

What are the most commonly searched types of Tensorflow jobs in California? The most popular types of Tensorflow jobs in California are:
What cities in California are hiring for Tensorflow jobs? Cities in California with the most Tensorflow job openings:

ML/AI Engineers

CosQube INC

Santa Clara, CA • On-site

Contractor

Posted 26 days ago


Job description

ML/AI Engineers

Location: CA/Santa Clara (mostly remote with occasional meetings in the office) locals only.

Mandate Skills:

Primary Technologies: Python (Advanced), Machine Learning frameworks (TensorFlow/PyTorch)

Mandatory: Kubernetes experience and cloud-native development practices

Required Skills & Experience

•             Primary Technologies: Python (Advanced), Machine Learning frameworks (TensorFlow/PyTorch)

•             Specialized AI/ML: LangChain, LlamaIndex, RAG architectures, Large Language Models

•             ML Operations: Vector databases, embedding systems, model deployment, MLOps

•             Anomaly Detection: AIOps platforms, time-series analysis, observability systems

•             Previous Experience: HAL projects or similar ML platforms strongly preferred

•             Infrastructure: Kubernetes, ML model deployment and monitoring

•             Experience: 4+ years ML engineering, production ML systems, RAG implementation experience

Additional Requirement

•Mandatory: Kubernetes experience and cloud-native development practices

•Methodology: Agile/Scrum experience, distributed team collaboration

•Technical Depth: Senior-level expertise in primary technologies required

•Domain Experience: Previous experience in data platforms, ML systems, or similar enterprise environments preferred