ZipRecruiter

Log In

1

Pytorch Phd Jobs (NOW HIRING)

next page

Showing results 1-20

All JobsPytorch Phd Jobs

Pytorch Phd information

See salary details

$15

$29

$39

How much do pytorch phd jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for pytorch phd in the United States is $29.44, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $32.93 per hour, depending on experience, location, and employer.

What are some common challenges faced by researchers in a PyTorch-focused PhD role?

Researchers in a PyTorch-focused PhD role often encounter challenges such as debugging complex deep learning models, managing computational resources effectively, and staying updated with rapid advancements in machine learning frameworks. Collaboration with interdisciplinary teams is common, requiring clear communication of technical concepts. Additionally, balancing independent research with contributing to open-source projects or publishing can be demanding but is key to career growth in both academia and industry.

What are the key skills and qualifications needed to thrive as a PyTorch PhD researcher, and why are they important?

To thrive as a PyTorch PhD researcher, you need a strong background in machine learning, deep learning theory, and advanced mathematics, typically supported by a doctoral degree in computer science or a related field. Mastery of PyTorch, Python programming, and familiarity with tools like CUDA or cloud platforms are essential technical skills. Critical thinking, problem-solving, and effective communication help you excel in research collaborations and present findings clearly. These skills ensure you can design innovative models, contribute to scientific advancements, and communicate complex results to technical and non-technical audiences.

What is a PyTorch PhD?

A PyTorch PhD typically refers to a doctoral researcher who specializes in deep learning and artificial intelligence using the PyTorch framework. These researchers use PyTorch, an open-source machine learning library, to build, train, and test neural networks for tasks like computer vision, natural language processing, and reinforcement learning. PyTorch PhDs often contribute to academic research, publish papers, and develop new models and algorithms. They may also collaborate with industry partners to advance the state of AI technology.
Infographic showing various Pytorch Phd job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 66% Full Time, 31% Part Time, and 1% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $61,245 per year, or $29.4 per hour.

Sr. LLM Applied Scientist - PhD/Research Masters

Pandita AI Inc

San Jose, CA

$115K - $147K/yr

Other

Posted 3 days ago

Job description

Company Description

Pandita AI Inc is a leader in machine learning innovation, driving transformative advancements in how industries leverage data and AI technologies. The company is dedicated to delivering cutting-edge solutions that empower businesses and individuals to unlock new potential. Our expertise spans multiple sectors, earning us a reputation as a trusted partner in the field. With innovation and excellence at its core, Pandita AI is shaping the future of intelligent systems.


Role Description

This is a full-time on-site role for a Senior LLM Applied Scientist, located at our San Jose, CA office. The role involves conducting advanced research to develop state-of-the-art machine learning models, specializing in Large Language Models (LLMs). Day-to-day responsibilities include designing and implementing novel algorithms, developing solutions for complex problems in NLP and AI, collaborating with cross-functional teams, and publishing findings in top-tier research conferences. The ideal candidate will also mentor junior team members and contribute to the strategic direction of AI initiatives within the company. The LLM Scientist must have experience with text-to-code


Qualifications

  • PhD or Master's degree in a related field (e.g.,EE, Mathematics, or equivalent experience)
  • Strong publication record.
  • Deep expertise in Pattern Recognition and Research methodologies
  • Experience conducting and publishing high-quality research in relevant fields
  • Proficiency in developing and fine-tuning machine learning models, with a focus on LLMs
  • Strong programming skills in languages such as Python and familiarity with libraries like PyTorch or TensorFlow
  • Proven ability to solve complex problems and innovate in machine learning and natural language processing
  • Strong communication and collaboration skills, with experience working in team-based research environments

Apply