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Tensorflow Jobs in California (NOW HIRING)

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 ...

Perfict

Python developer

Fremont, CA · On-site

$55.25 - $76/hr

... such as TensorFlow, PyTorch, or Scikit-learn • Proficiency in data handling and manipulation using libraries like NumPy and Pandas • Experience with SQL databases for managing and accessing ...

Quantiply Corporation

Data Scientist

San Jose, CA · On-site

Strong experience in Tensorflow or similar frameworks. * Working experience in C++. Additional Information All your information will be kept confidential according to EEO guidelines.

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All JobsTensorflow JobsTensorflow Jobs in California

Tensorflow information

See California salary details

$37K

$121.1K

$193.9K

How much do tensorflow jobs pay per year?

As of Aug 7, 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.

Junior Gen AI Engineer

Saransh Inc

Santa Clara, CA • On-site

Contractor

Re-posted 16 days ago

Job description

Role: Junior GenAI Engineer
Location: Santa Clara, CA (Onsite from Day 1)
Job Type: Contract
 
Experience Level: 3–7 Years (Software Development)
 
 
Key Responsibilities:
  • 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 Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding generation, and retrieval systems.
  • Design, develop, and deploy Custom AI agents capable of autonomous decision-making and task execution using LLMs and multi-modal models.
  • Implement and manipulate complex algorithms essential for developing and optimizing generative AI models.
  • Manage data pipelines involving data pre-processing, augmentation, and synthetic data generation to enhance model training and performance.
  • Ensure robust data handling practices including cleaning, labeling, and structuring datasets for generative AI workflows.
  • Design MS Copilot Studio Agent Builder advanced skills, including custom plugin development, adaptive orchestration of multiple AI skills and APIs, contextual memory management, dynamic prompt engineering, and secure data handling.
  • Agent Orchestration: Build multi-turn agents that adapt and chain AI skills and APIs.
  • Trigger Management: Configure message, data, scheduled, and webhook triggers.
  • Automation Workflow: Design workflows with Power Automate for task automation.
  • Flow Design: Create logical, scalable flows for complex business processes.
  • Tool Integration: Use Copilot’s built-in connectors to integrate enterprise apps and services seamlessly.
 
Required Qualifications:
  • Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
  • 3+ years of experience in AI/ML engineering, with at least 1 year focused on Generative AI.
  • Hands-on experience with RAG architectures, including document chunking, embedding generation, and retrieval systems.
  • Proficiency in Python and familiarity with libraries such as Hugging Face, Transformers, OpenAI API, and PyTorch/TensorFlow.
  • Experience with Agentic AI frameworks (LangGraph, OpenAI SDK, AutoGen, CrewAI) and building agent accelerators using platforms like Copilot Studio or AWS Bedrock AgentsCore
  • Strong understanding of LLM capabilities, limitations, and prompt engineering techniques.
  • Experience with cloud platforms and containerization (Docker, Kubernetes).