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Tensorflow Jobs in California (NOW HIRING)

Aivra Health LLC

AI/ML Engineer

California City, CA · On-site

TensorFlow or PyTorch * Scikit-learn * Pandas, NumPy * SQL * Data Analysis * NLP or Computer Vision (Preferred) * AWS SageMaker / Azure ML / Google Cloud Platform Vertex AI * Git Preferred ...

CosQube INC

ML/AI Engineers

Santa Clara, CA · On-site

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

Flexton Inc

Expert AI/ML Engineer

Oakland, CA · On-site

Experience with Python and common ML/data science libraries such as pandas, NumPy, scikit-learn, XGBoost, TensorFlow, PyTorch, or similar. Practical experience with MLOps concepts such as model ...

NVIDIA

Senior Software Engineer, NCCL

Santa Clara, CA · On-site

$143K - $189K/yr

NCCL for TensorFlow/Pytorch) and HPC programming interfaces (e.g. UCX for MPI/OpenSHMEM) on GPU clusters. • Participating in and contributing to parallel programming interface specifications like ...

Saransh Inc

Junior Gen AI Engineer

Santa Clara, CA · On-site

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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Tensorflow information

See California salary details

$37K

$121.1K

$193.9K

How much do tensorflow jobs pay per year?

As of Aug 6, 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?

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 does a TensorFlow developer do?

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 jobs use TensorFlow?

Jobs that use TensorFlow include machine learning engineer, data scientist, AI researcher, and deep learning engineer. These roles involve developing and deploying neural network models, often requiring programming skills in Python and knowledge of machine learning frameworks. TensorFlow is widely used in industries such as technology, healthcare, finance, and automotive for tasks like image recognition, natural language processing, and predictive analytics.

What are the key skills and qualifications needed to thrive in the TensorFlow position?

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 are popular job titles related to Tensorflow jobs in California? For Tensorflow jobs in California, the most frequently searched job titles are:
What job categories do people searching Tensorflow jobs in California look for? The top searched job categories for Tensorflow jobs in California are:
What cities in California are hiring for Tensorflow jobs? Cities in California with the most Tensorflow job openings:
Tensorflow jobs near you
Infographic showing various Tensorflow job openings in California as of August 2026, with employment types broken down into 33% Internship, 44% Full Time, and 23% Contract. Highlights an 100% In-person job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

AI/ML Engineer

Aivra Health LLC

California City, CA • On-site

Other

Posted 24 days ago

Job description

Job Description

We are looking for an experienced AI/ML Engineer to design, develop, and deploy machine learning models and AI-driven applications. The ideal candidate should have strong programming skills, experience with ML frameworks, and knowledge of cloud-based AI solutions.

Responsibilities
  • Build, train, and deploy machine learning models.
  • Develop AI-driven applications and predictive models.
  • Work with structured and unstructured datasets.
  • Perform data preprocessing and feature engineering.
  • Optimize model performance and scalability.
  • Deploy ML models using cloud platforms.
  • Collaborate with data scientists and software engineers.
  • Stay updated with the latest AI technologies.
Required Skills
  • Python
  • Machine Learning
  • Deep Learning
  • TensorFlow or PyTorch
  • Scikit-learn
  • Pandas, NumPy
  • SQL
  • Data Analysis
  • NLP or Computer Vision (Preferred)
  • AWS SageMaker / Azure ML / Google Cloud Platform Vertex AI
  • Git
Preferred Qualifications
  • Bachelor''s or Master''s degree in Computer Science, AI, Data Science, or related field.
  • Experience with Generative AI or LLMs is a plus.
  • Knowledge of MLOps tools is preferred.
  • Strong analytical and problem-solving skills.
Keywords

AI Engineer, Machine Learning Engineer, Deep Learning, Python, TensorFlow, PyTorch, NLP, Computer Vision, Scikit-learn, Pandas, NumPy, AWS SageMaker, Azure ML, Google Cloud Platform Vertex AI, Generative AI, LLM, MLOps

Skills (Comma Separated)

Python, Machine Learning, Deep Learning, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, SQL, NLP, Computer Vision, AWS SageMaker, Azure ML, Google Cloud Platform Vertex AI, Generative AI, LLM, MLOps, Git, Data Analysis

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