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Part Time Pytorch Jobs in Berkeley, CA (NOW HIRING)

AI Solutions Architect

Menlo Park, CA · On-site

$228K - $231K/yr

Full-time or part-time: Full-time Job title: AI Solutions Architect Job Location: 640 W California ... PyTorch). 5-10% domestic and international travel required for internal workshops and project work ...

Part Time Pytorch information

How do part-time PyTorch developers typically collaborate with full-time team members on machine learning projects?

Part-time PyTorch developers often work closely with full-time data scientists, machine learning engineers, and project managers through regular check-ins, code reviews, and collaborative platforms like GitHub or Slack. Clear communication and well-documented code are essential to ensure smooth handoffs and project continuity. It's common to be assigned specific modules or tasks, contributing to larger models, experiments, or data pipelines. Flexibility in scheduling and proactive updates help maintain alignment with the team's goals and deadlines.

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

AspectPart Time PytorchPart Time Machine Learning Engineer
Required CredentialsKnowledge of Pytorch, basic programming skills, possibly some certifications in AI/MLSimilar; often requires experience with ML frameworks, programming, and relevant certifications
Work EnvironmentRemote or freelance projects, research labs, startupsRemote or onsite, startups, tech companies, research institutions
Industry UsageUsed mainly for deep learning model development and experimentationApplied in deploying ML models, data analysis, and AI product development

Part Time Pytorch roles focus on developing and experimenting with deep learning models using the Pytorch framework, often in research or freelance settings. Part Time Machine Learning Engineer positions involve broader responsibilities, including deploying ML solutions and working across various frameworks. Both roles require similar skills but differ in scope and application.

What are part-time PyTorch jobs?

Part-time PyTorch jobs are positions where employees work fewer hours than a standard full-time schedule and primarily use the PyTorch machine learning library. These jobs may involve developing, training, or deploying deep learning models for tasks such as computer vision, natural language processing, or data analysis. Part-time roles are ideal for students, freelancers, or professionals looking to gain experience with PyTorch while maintaining a flexible work schedule. Typical employers include tech companies, research labs, and startups working on AI projects.

What are the key skills and qualifications needed to thrive as a Part-Time PyTorch Developer, and why are they important?

To thrive as a Part-Time PyTorch Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and hands-on experience with the PyTorch framework. Familiarity with related tools such as NumPy, pandas, Git, and cloud platforms is often required, along with relevant certifications in AI or machine learning being advantageous. Problem-solving abilities, effective communication, and time management are essential soft skills for success in a part-time, often remote, role. These skills ensure you can develop, debug, and deploy machine learning models efficiently while collaborating effectively with teams and managing flexible schedules.
What are the most commonly searched types of Pytorch jobs in Berkeley, CA? The most popular types of Pytorch jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Part Time Pytorch jobs? Cities near Berkeley, CA with the most Part Time Pytorch job openings:
Abrahamsson Lab - Research Assistant - Computational Chemistry (Junior Specialist)

Abrahamsson Lab - Research Assistant - Computational Chemistry (Junior Specialist)

University of California, San Francisco

San Francisco, CA • On-site

Full-time, Part-time

Posted 9 days ago


University Of California San Francisco rating

8.9

Company rating: 8.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

32nd of 555 rated colleges and universities


Job description

Application Window
Open date: July 9, 2026
Next review date: Friday, Jul 24, 2026 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee.
Final date: Sunday, Jan 9, 2028 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
Research Assistant - Computational Chemistry (Junior Specialist)
University of California, San Francisco (UCSF) - Mission Bay Campus
Abrahamsson Lab (PI: Dr. Dimitri Abrahamsson)
We are seeking a motivated individual to join our research group as a part-time Computational Chemistry Research Assistant. This position offers the opportunity to contribute to cutting-edge research at the intersection of computational chemistry and analytical instrumentation, with the potential to extend to full-time depending on performance and project needs.
About the Role
You will help develop and apply computational methods to solve outstanding problems in high-resolution mass spectrometry. The work draws on a combination of approaches, including quantum chemical calculations, molecular dynamics simulations, and machine learning. You will work alongside an interdisciplinary team in the Abrahamsson Lab and gain hands-on experience with techniques widely used in modern chemical and biophysical research.
Responsibilities
  • Set up, run, and analyze quantum chemical and molecular dynamics calculations
  • Develop and apply machine learning models to chemical and spectrometric data
  • Process, interpret, and visualize computational and experimental results
  • Document methods and findings, and contribute to group discussions and meetings

Qualifications
  • Recent graduate with a baccalaureate degree (or equivalent degree) in chemistry, biochemistry, physics, computer science, or a related field or at least four years of research experience.
  • Coursework or demonstrated experience in computational or physical chemistry
  • Programming experience (e.g., Python) is strongly preferred
  • Familiarity with quantum chemistry software (e.g., Psi4, ORCA, Gaussian), molecular dynamics packages (e.g., GROMACS, AMBER, OpenMM), or machine learning frameworks (e.g., PyTorch, scikit-learn, TensorFlow) is a plus but not required
  • Strong analytical skills, attention to detail, and the ability to work both independently and collaboratively

See Table 24B for the salary range for this position. A reasonable estimate for this position is $55,000-$58,600.
How to Apply
Please click here to apply with a cover letter, CV, and contact information for two references. In your cover letter, briefly describe your relevant background, your interest in the position, and your availability. Applicant materials must list current and/or pending qualifications upon submission. The selected candidate must meet all the qualifications at the time of appointment.
Application Requirements
Document requirements
  • Cover Letter - In your cover letter, briefly describe your relevant background, your interest in the position, and your availability.
  • Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
  • Statement of Research (Optional)

Reference requirements
  • 2 required (contact information only)

About UC San Francisco
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer.
• UC Sexual Violence and Sexual Harassment Policy
• UC Anti-Discrimination Policy
• APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
San Francisco, CA

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