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Tensorflow Jobs in California (NOW HIRING)

Verkada

Senior Software Engineer - Computer Vision

San Mateo, CA

$139K - $183K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Implementing and deploying a binary classifier using TensorFlow for detecting the binary states across millions of cameras * Detecting unusual object addition/removal in a scene * Detecting and ...

Nokia

AI R&D Engineering Co-op

Sunnyvale, CA · On-site

$20.10 - $70.40/hr

Machine learning frameworks (e.g., TensorFlow, PyTorch). * Search engines and vector databases, along with their underlying algorithms. * Big data frameworks and technologies such as Spark, Kafka ...

Nokia

AI R&D Engineering Co-op

Sunnyvale, CA · On-site

Machine learning frameworks (e.g., TensorFlow, PyTorch). * Search engines and vector databases, along with their underlying algorithms. * Big data frameworks and technologies such as Spark, Kafka ...

Mindlance

Python Developer

Concord, CA · On-site

$55.25 - $76/hr

Proficiency in Python, PySpark, TensorFlow, PyTorch, and cloud platforms such as Google Cloud Platform (Google Cloud Platform), Vertex AI, Google ADK, and MCP. * Experience in the financial services ...

MM International

Machine Learning Engineer

Fremont, CA · On-site

Proficiency with at least one modern deep learning framework (e.g., PyTorch, Jax, TensorFlow). * Expertise in one or more of the following areas: computer vision, large language models, recommender ...

FieldAI

2.53 3D Machine Learning Engineer

Irvine, CA · On-site

PyTorch, TensorFlow, or similar. • Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data preprocessing. • Experience training, evaluating, and deploying ...

Redolent, Inc.

MLOps Engineer (Java)

Sunnyvale, CA · On-site +1

$61.75 - $84.50/hr

Experience with model serving technologies (TensorFlow Serving, Triton, KServe) * Deep knowledge of distributed systems and microservices architecture * Proficiency in Java and experience with high ...

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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 14, 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 1% Internship, 88% Full Time, 5% Part Time, 2% Temporary, and 4% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

Software Engineer - Machine Learning

Quantiply Corporation

San Jose, CA • On-site

Full-time

Re-posted 28 days ago

Job description

Company Description

Did you know that Money Laundering is a primary enabler of criminal activity like drug trafficking, smuggling, terrorism, and corruption around the world with an estimated $2.3 Trillion laundered annually? Criminals are becoming more and more sophisticated in rapidly innovating new ways to launder money and current methods of detecting money laundering are antiquated and ineffective. Quantiply's Sensemaker application suite and platform solutions use AI and machine learning algorithms to identify money laundering and other criminal activities and automatically recommend mitigation strategies and actions. If you are looking for an opportunity to work on complex business problems using the latest AI and Machine Learning technologies, work with best and brightest in crafting innovative solutions while making a positive impact on society, Quantiply is the place for you.

Job Description

We're looking for software engineers with experience in machine learning and artificial intelligence. You will be embedded as part of a team that collaborates with researchers on conceiving, researching, and prototyping new machine learning techniques and use cases with the goal of driving Quantiply's growth in the Anti-Money Laundering space.

Ideal candidates will have a good understanding of state-of-the-art techniques in machine learning and deep learning, performance optimization, and benchmarking, along with a strong understanding of high-performance computer architecture. Candidates must also possess strong verbal and written communication skills and the demonstrated ability to work in a demanding team-oriented environment.

Responsibilities:

  • Develop highly scalable deep learning, reinforcement learning and bayesian models.
  • Support research projects by providing innovative designs for end-to-end Machine Learning systems.
  • Optimize performance of complex machine learning systems. Exploit modern parallel environments.
  • Design and develop software libraries.
  • Partner with Product and Engineering teams to explore new opportunities.
  • Influence product features and product roadmap through exploratory analysis.
  • Report and present software developments verbally and in writing.
Qualifications

Minimum qualifications:

  • PhD in computer science, machine learning, electrical engineering, mathematics, or equivalent pracitical experience.
  • Strong knowledge and experience in Python, Docker and Kubernetes.
  • Working experience in Tensorflow.
  • Working experience with distributed software architecture.
  • Knowledge of machine learning and statistics.

Preferred qualifications:

  • Strong experience in Tensorflow or similar frameworks.
  • Strong experience with concurrent and distributed software architecture.
  • Experience with Hadoop.
  • Experience with C++/Java/Scala.
Additional Information

All your information will be kept confidential according to EEO guidelines.

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