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Associate Tensorflow Jobs in California (NOW HIRING)

We're looking for a curious, motivated Associate AI Engineer to join our team and help build the ... Build and experiment with AI frameworks such as TensorFlow, PyTorch, and/or Hugging Face * Write ...

We're looking for a curious, motivated Associate AI Engineer to join our team and help build the ... Build and experiment with AI frameworks such as TensorFlow, PyTorch, and/or Hugging Face * Write ...

Job Title: Associate AI Scientist (Contract) Location: South San Francisco, CA (Onsite with ... Strong Python skills and experience with deep learning frameworks (PyTorch or TensorFlow) * Ability ...

As an Associate AI Security Resident, you'll maintain that excellence while engaging with some of ... Familiarity with the AI/ML software stack (e.g., CUDA, PyTorch, TensorFlow, Ray) * Experience ...

As an Associate AI Security Resident, you'll maintain that excellence while engaging with some of ... Familiarity with the AI/ML software stack (e.g., CUDA, PyTorch, TensorFlow, Ray) * Experience ...

AI Engineer Associate This role will be tasked with applying machine learning/deep learning to the ... and TensorFlow on desktops, embedded and distributed backends (e.g. AWS) Experience with data ...

About the Role As an Associate ML Engineer/ Agentic AI, you will be part of a high-performing team ... Familiarity with ML frameworks or libraries (e.g., PyTorch, TensorFlow, scikit-learn, LangChain, or ...

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Associate Tensorflow information

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 Associate Tensorflow jobs? Cities in California with the most Associate Tensorflow job openings:
Associate AI Engineer

Associate AI Engineer

Cornerstone

Dublin, CA • On-site

Other

Posted 9 days ago


Job description

We're looking for a curious, motivated Associate AI Engineer to join our team and help build the next
generation of intelligent talent technology. This is a hands-on opportunity to apply your AI and machine
learning skills in a real-world enterprise SaaS environment. You'll work alongside experienced engineers
to develop and deploy AI tools-including large language models, recommendation systems, and other
intelligent features-that make work more personal and efficient.

This is a 6 month fixed term role.

In this role, you will...

  • Contribute to the design, development, and testing of AI-driven features within the Cornerstone
    ecosystem
  • Collaborate with engineers on projects involving NLP, recommendation systems, or generative AI
  • Collect, clean, and prepare datasets for training and evaluation, including data QA and validation
  • Build and experiment with AI frameworks such as TensorFlow, PyTorch, and/or Hugging Face
  • Write clean, well-documented Python code and actively participate in code reviews
  • Leverage AI-powered development tools to accelerate coding, debugging, and prototyping
    workflows
  • Participate in Agile ceremonies and contribute to team discussions, demos, and retrospectives
  • Research and prototype new ideas in the AI/ML space, including proofs of concept and results
    evaluation
  • Stay current-identify new AI tools, libraries, or approaches that could enhance our platform

You've got what it takes if you have...

  • A Bachelor's or Master's degree in Computer Science or a related field (or equivalent practical
    experience)
  • Foundational knowledge of machine learning concepts and proficiency in Python programming
  • Experience with one or more AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Solid understanding of or strong interest in LLMs, generative AI, and/or recommender systems
  • Ability to work independently and collaboratively in a fast-paced team environment
  • Strong communication skills and attention to detail

An extra dose of awesome if...

  • Knowledge of Java and/or JavaScript with React, especially for building user-facing AI features
  • Experience with AWS or containerization tools such as Docker