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Full Time Pytorch Jobs in California (NOW HIRING)

Happy Dad

AI SOFTWARE ENGINEER

Anaheim, CA · Remote

... PyTorch, TensorFlow, or similar Comfort working in cloud environments Ability to move fast, make tradeoffs, and own your work Clear communicator who plays well with others Job Type: Full-time, Remote ...

Happy Dad

AI SOFTWARE ENGINEER

Anaheim, CA · On-site

$80K - $100K/yr

... PyTorch, TensorFlow, or similar Comfort working in cloud environments Ability to move fast, make tradeoffs, and own your work Clear communicator who plays well with others Job Type: Full-time, Remote ...

Clera

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Full-time, on-site in San Francisco. What you will do * Design and ship end-to-end ML systems: data ... Strong Python and PyTorch (or JAX) fundamentals * Experience with distributed training, GPU ...

Clera

Senior AI/ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Full-time, on-site in San Francisco. What you will do * Design and ship end-to-end ML systems: data ... Strong Python and PyTorch (or JAX) fundamentals * Experience with distributed training, GPU ...

Clera

Senior AI/ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Full-time, on-site in San Francisco. What you will do * Design and ship end-to-end ML systems: data ... Strong Python and PyTorch (or JAX) fundamentals * Experience with distributed training, GPU ...

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Full Time Pytorch information

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, often requiring advanced skills in deep learning frameworks like PyTorch, extensive experience, and leadership responsibilities. Such roles are usually found in large tech companies or AI-focused firms and may include bonuses, stock options, or other compensation components that contribute to the total salary package.

What engineers make $500,000?

Senior engineers in fields like software engineering, especially those specializing in high-demand areas such as machine learning, AI, or cloud infrastructure, can earn $500,000 or more annually. Achieving this level typically requires extensive experience, advanced skills, and often leadership responsibilities or stock options in tech companies.

What is the difference between Full Time Pytorch vs Machine Learning Engineer?

AspectFull Time PytorchMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, Data Science, or related fields; experience with PytorchBachelor's or higher in CS, Data Science, or related fields; experience with ML frameworks including Pytorch
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learning projectsTech companies, startups, or R&D teams working on ML solutions
Employer & Industry UsagePrimarily in AI research, deep learning projects, and model developmentDeveloping, deploying, and maintaining ML models across various industries

While both roles require knowledge of Pytorch, a Full Time Pytorch position typically focuses on implementing and experimenting with deep learning models using Pytorch. A Machine Learning Engineer often has a broader scope, including deploying models, optimizing algorithms, and working across different ML frameworks. The roles overlap in skills but differ in responsibilities and application scope.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior software engineers, data scientists, and machine learning engineers, especially those with expertise in frameworks like PyTorch. These positions often require advanced skills, extensive experience, and sometimes leadership responsibilities in technology companies or finance sectors.

What job makes $10,000 a month without a degree?

A full-time PyTorch engineer or AI specialist can potentially earn $10,000 or more per month through roles in machine learning, deep learning, or AI development, especially with strong skills in programming, neural networks, and frameworks like PyTorch. Such positions often require expertise and experience rather than formal degrees, and they may be found in tech companies, startups, or freelance projects. High-paying roles in this field typically demand continuous learning and proficiency with tools like Python and GPU computing.
What are the most commonly searched types of Pytorch jobs in California? The most popular types of Pytorch jobs in California are:
What are popular job titles related to Full Time Pytorch jobs in California? For Full Time Pytorch jobs in California, the most frequently searched job titles are:
What job categories do people searching Full Time Pytorch jobs in California look for? The top searched job categories for Full Time Pytorch jobs in California are:
Full Time Pytorch jobs near you

Data AI/ML Engineer

Quest Global

Sunnyvale, CA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Quest Global rating

7.4

Company rating: 7.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

236th of 352 rated engineering

Job description

Job Requirements

Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.

We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we're eager to hear from you. The achievers and courageous challenge-crushers we seek, have the following characteristics and skills

What You will Do:

  • Designing, and Developing ML systems .
  • Collaborating with data scientists and engineers to select, collect, clean, preprocess, and analyze large datasets for model training and feature engineering.
  • Time series forecasting
  • Implementing appropriate ML algorithms and using frameworks like TensorFlow or PyTorch.
  • Building scalable ML pipelines, deploying models into production environments (often using Docker, Kubernetes, and cloud platforms like AWS), and creating APIs for application integration.
  • Dashboard and Data Analytics 
  • Analysis to interpret results, and monitor deployed models for performance and potential issues.
  • Collaboration and Communication: Working with cross-functional teams
  • Staying updated with the latest advancements in machine learning, deep learning, and AI tooling to incorporate new knowledge into ongoing projects. 
  • Domain: Demand and supply planning
  1. Python, TensorFlow, PyTorch, scikit-learn
  2. ML pipelines and data processing systems.
  3. ML models

What you will bring:

  • Expert-level proficiency in Python is standard
  • In-depth knowledge of ML frameworks such as TensorFlow / PyTorch
  • Solid understanding of probability, statistics, linear algebra, and calculus is essential for algorithm development and model evaluation.
  • Experience with software architecture, data structures, unit testing, version control (Git), and general software development best practices.
  • Familiarity with tools for processing data
  • Experience with cloud services for deploying and managing ML models (AWS). 
  • Experince with Data pipelines, SQL and Snowflake 
  • Strong analytical and problem-solving abilities.
  • Excellent communication and teamwork skills.
  • Adaptability and a commitment to continuous learning in a fast-evolving field  

Pay Range: USD 23 per hour - USD 27 per hour

Compensation decisions are made based on factors including experience, skills, education, and other job-related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.


Work Experience
  1. Python, TensorFlow, PyTorch, scikit-learn
  2. ML pipelines and data processing systems.
  3. ML models

Benefits

Benefits:

  • 401(k)
  • Dental insurance
  • Health insurance
  • Life insurance
  • Paid time off
  • Referral program
  • Vision insurance
  • Short/Long Term Disability

Employment Type: FULL_TIME

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