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Full Time Pytorch Jobs in California (NOW HIRING)

Computer Vision Engineer

Emeryville, CA · On-site

$128K - $152K/yr

Full-time, in-office in Emeryville, California. Our mosquito work Turn raw assay video into precise ... with PyTorch, OpenCV, or equivalent tools • Experience building evaluation sets and choosing ...

New

Proficiency with profiling tools (Nsight Systems/Compute, PyTorch Profiler, HTA, or similar) and ... The US base salary range for this full-time position is between $200,000 - $400,000 annually. The ...

... Pytorch/CUDA) for efficient pre and post training, building domain specific datasets and business ... Requires full-time, on-site presence at the office in San Diego, CA. * Willingness to travel up to ...

Experience with PyTorch, TensorFlow, or other deep learning frameworks is required. An advanced ... position, at a full time level of effort, exclusive of overtime, bonus, and benefits-related ...

ML Engineer

Emeryville, CA · On-site

$160K - $260K/yr

Full-time, in-office in Emeryville, California. $160,000-$260,000 annual base salary plus equity ... Experience with PyTorch, JAX, or TensorFlow and workflow-orchestration tools • Experience on ...

New

Engineering Employment Type: Full Time Location: San Francisco Description This role sits at the ... Strong knowledge of PyTorch and modern ML inference optimization techniques * Comfortable with ...

Technical Product Manager

Foster City, CA · On-site

$194K - $224K/yr

AI Ecosystem Integration - ensure seamless integration with frameworks like PyTorch, TensorFlow ... The salary range for this full-time position in the United States is $190,000 - $240,000 depending ...

Showing results 21-40

Full Time Pytorch information

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 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 Adjunct Faculty, MS Applied Artificial Intelligence

San Diego, CA • On-site

University of San Diego
Colleges, Universities, and Professional Schools • 501 - 1,000 employees

Full-time

Medical, Dental, Vision, Retirement

Re-posted 15 days ago


University Of San Diego rating

6.9

Company rating: 6.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz


Job description

Full Time Adjunct Faculty, MS Applied Artificial Intelligence

Apply now Posting #: 5535
Position Status: Faculty, Full-time temporary
Location: San Diego
Position Type: Faculty, Shiley-Marcos School of Engineering

Position Title & Department:

 Full Time Adjunct Faculty, MS Applied Artificial Intelligence Posting #

5535

Department Description:

The MS-AAI program is one of the few graduate programs in the nation that emphasizes applied, real-world artificial intelligence, integrating technical depth with ethics, moral responsibility, and AI for social good. Candidates with experience across all areas of artificial intelligence and machine learning will be considered. Preference will be given to candidates with the ability to develop and teach courses in deep learning, computer vision, large language models (LLMs), and agentic AI systems. Applicants with strong industry experience, applied research experience, or prior teaching experience in higher education are especially encouraged to apply.

University Description:

The University of San Diego, an engaged and contemporary Catholic institution, was founded by the Diocese of San Diego and the Society of the Sacred Heart in 1949. Governed by an independent board of trustees since 1972, USD remains committed to a liberal arts education grounded in the Catholic intellectual tradition and the pursuit of truth, goodness and beauty. Inspired by this centuries old tradition of Catholic higher education, the University welcomes people of all faith traditions and any, or no, religious background. The future success of USD relies on the contributions of those who seek to foster the development of engaged global citizens and an earnest confrontation of humanity's urgent challenges.

Detailed Description:

The Shiley-Marcos School of Engineering at the University of San Diego (USD) invites applications for a full-time adjunct faculty in the Master of Science in Applied Artificial Intelligence (MS-AAI) program, with an appointment beginning in the Spring 2027 semester, which begins on January 2, 2027. This is an on-campus position requiring the selected candidate to reside in or relocate to the San Diego area. The MS-AAI program is delivered in accelerated 7-week course blocks, and all instruction occurs in person at USD. USD is a designated Changemaker campus committed to academic excellence, student success, ethical responsibility, and community engagement.

This is a full-time temporary, benefit-based position with an anticipated end date of August 31, 2027. The appointment is renewable at the discretion of the University and dependent upon performance and continued funding.

Duties and Responsibilities:

  • Demonstrate a strong commitment to teaching excellence in an applied graduate program.
  • Deliver engaging instruction in 7-week, in-person course formats.
  • Provide timely, constructive feedback and meaningful engagement with graduate students.
  • Integrate industry experience, real-world case studies, and emerging AI practices into the teaching curriculum.
  • Mentor and advise graduate students on academic progress, career planning, and capstone project development.
  • Uphold USD's Vision, Mission, and Core Values, including academic excellence, community, ethical conduct, and compassionate service.
  • Maintain high standards of academic integrity and student performance.
  • Collaborate with the Academic Program Director and Program Coordinator on course development and continuous improvement.

Participate in departmental and university service and marketing activities as appropriate.

Special Conditions of Employment:

Candidates must be authorized to work in the United States.

Job Requirements:

Minimum Qualifications:

  • Master's degree or higher in Artificial Intelligence, Computer Science, Data Science, Statistics, Electrical and Computer Engineering, or a closely related quantitative field.
  • Demonstrated industry experience related to AI or applied research experience in artificial intelligence or machine learning.
  • Strong foundations in machine learning principles, probability, statistics, and linear algebra relevant to deep learning and large language models.
  • Strong interpersonal, collaborative, and professional communication skills.
  • Commitment to equity, inclusion, student engagement, and inclusive teaching practices.

Preferred Qualifications:

  • Prior university-level teaching experience, ideally in in-person, project-based, or experiential learning environments.
  • Industrial experience in AI engineering, ML engineering, deep learning, generative AI, LLM development, computer vision, or MLOps/model deployment.
  • Proficiency in developing and deploying modern AI/ML systems. This includes expertise in core languages (e.g., Python) and frameworks such as PyTorch, TensorFlow, Scikit-learn, LangChain, AWS SageMaker, and vector databases.
  • Ability to integrate ethical frameworks, responsible AI principles, and real-world case studies into teaching.
  • Experience mentoring graduate students or supervising capstone projects.
  • Teaching responsibilities include lecturing, designing assignments and projects, grading, providing feedback, and supporting students academically and professionally.

Background check: Successful completion of a pre-employment background check and drug screen.

Degree Verification Requirement: Persons offered employment in this position will be required to provide official education transcripts for degree verification purposes. 

Posting Salary:

$5,859 - $7,500/monthly; Excellent Benefits
The University of San Diego offers a very competitive benefits package including; medical, dental, vision, a retirement contribution given to you by the University, and access to on-campus Fitness Centers.  Please visit the benefits section of our website to view all of the perks and benefits that USD has to offer.  USD: Human Resources: Benefits

The salary range provided in this posting reflects what we reasonably expect to pay for this position.  Actual compensation offered or earned is dependent on experience, education and other factors including departmental budget.

Special Application Instructions:
 
Click the 'Apply Now' button to complete our online application.

For full consideration, applicants must submit:

  1. Cover Letter describing interest in the position, commitment to teaching, and how academic, research, and industry experience align with the MS-AAI program.
  2. Curriculum Vitae (CV) or Resume, including teaching experience, courses taught, and relevant industry or research background.
  3. Three professional references with contact information.

Contact: Ebrahim Tarshizi - etarshizi@sandiego.edu 

 
 If you have any technical difficulties please contact the Employment Services Team at jobs@sandiego.edu.
 
Additional Details:
 
This is a full-time, benefit-based, non-tenure-track faculty position. All teaching is conducted in person at the USD campus. Salary is competitive and commensurate with experience. Candidates must be authorized to work in the United States.

The University of San Diego is a smoking and tobacco-free campus. For more information, visit www.sandiego.edu/smokefree.
 

Advertised: July 01, 2026 Pacific Daylight Time
Applications close:

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