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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, TensorFlow, PyTorch, scikit-learn * ML pipelines and data processing systems. * ML models What you will bring: * Expert-level proficiency in Python is standard * In-depth knowledge of ML ...

Python, TensorFlow, PyTorch, scikit-learn * ML pipelines and data processing systems. * ML models What you will bring: * Expert-level proficiency in Python is standard * In-depth knowledge of ML ...

Python, TensorFlow, PyTorch, scikit-learn * ML pipelines and data processing systems. * ML models What you will bring: * Expert-level proficiency in Python is standard * In-depth knowledge of ML ...

Python, TensorFlow, PyTorch, scikit-learn * ML pipelines and data processing systems. * ML models What you will bring: * Expert-level proficiency in Python is standard * In-depth knowledge of ML ...

Senior AI/ML Engineer

Sunnyvale, CA · On-site

$122K - $167K/yr

Responsibilities : • Strong programming experience in Python • Solid understanding of Machine Learning algorithms and Deep Learning frameworks (PyTorch / TensorFlow) • Hands-on experience with ...

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.

... TensorFlow, PyTorch) * 2+ yrs of Chatbot development and Retrieval-Augmented Generation (RAG) applications is a strong advantage. * 2+ yrs of Large Language Models (LLMs) or Small Language Models ...

Thermal Engineering R&D Intern

San Jose, CA · On-site

$19.75 - $25.50/hr

Research, develop, and test ML models (Regression, Time-Series, Anomaly Detection) using Python frameworks like TensorFlow, PyTorch, or Scikit-learn to improve thermal monitoring and prediction.

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 ...

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$37K

$121.1K

$193.9K

How much do tensorflow jobs pay per year?

As of Jun 10, 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:
Infographic showing various Tensorflow job openings in California as of June 2026, with employment types broken down into 1% Internship, 92% Full Time, 5% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

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Job description

Job Title: AI/ML EngineerLocation: San Jose, CADuration: Fulltime/Permanent position Job Summary: We are seeking a talented and experienced AI/ML Engineer with a strong background in data science, generative AI, and agentics. The ideal candidate will have a proven track record of developing and deploying machine learning models, with a particular emphasis on TensorFlow. This role requires a deep understanding of AI/ML concepts and the ability to work collaboratively in a fast paced environment.Responsibilities:
  • Design, develop, and implement machine learning models using TensorFlow to solve complex business problems.
  • Collaborate with cross functional teams to gather requirements and translate them into technical specifications.
  • Conduct data analysis and preprocessing to ensure high quality input for machine learning algorithms.
  • Stay updated with the latest advancements in AI/ML technologies and apply them to enhance existing systems.
  • Optimize and fine tune models for performance and scalability.
  • Document processes, methodologies, and results to ensure knowledge sharing within the team.
  • Mentor junior team members and contribute to a culture of continuous learning and improvement.
Mandatory Skills:
  • Strong expertise in TensorFlow, Keras and its ecosystem.
  • Proficient in Python and relevant libraries (e.g., NumPy, Pandas, Scikit learn).
  • Solid understanding of machine learning algorithms and techniques, including supervised and unsupervised learning.
  • Experience with data preprocessing, feature engineering, and model evaluation.
  • Familiarity with cloud platforms (e.g., Google Cloud, AWS) for deploying machine learning models.
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • 5 7 years of experience in AI/ML engineering or a related role.
  • Proven experience in developing and deploying machine learning models in production environments.
  • Excellent communication skills and the ability to work effectively in a team.