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Phd Program Jobs in California (NOW HIRING)

Research Intern - Deep Learning

Fremont, CA ยท On-site

$7.0K - $10K/mo

Currently pursuing a Masters or PhD program in Computer Science, Machine Learning, Robotics, or similar field * Strong background in deep learning, with experience in model design, training and ...

Research Intern - Deep Learning

Fremont, CA ยท On-site

$7.0K - $10K/mo

Currently pursuing a Masters or PhD program in Computer Science, Machine Learning, Robotics, or similar field * Strong background in deep learning, with experience in model design, training and ...

Currently pursuing a Masters or PhD program in Computer Science, Machine Learning, Robotics, or similar field * Strong background in deep learning, with experience in model design, training and ...

Research Intern - Deep Learning

Fremont, CA ยท On-site

$7.0K - $10K/mo

Currently pursuing a Masters or PhD program in Computer Science, Machine Learning, Robotics, or similar field * Strong background in deep learning, with experience in model design, training and ...

ASIC Design Engineer

San Jose, CA ยท On-site

$110 - $170/hr

Education: BS/MS/PhD program in Electrical Engineering, Computer Engineering, or related field. * Proficiency in logic design and micro-architecture; RTL coding in Verilog and/or SystemVerilog ...

R&D Intern

Fremont, CA ยท On-site

$40 - $45/hr

Currently enrolled in a PhD program at a leading university, national laboratory, or research institute with a strong focus on batteries, electrochemistry, materials science, chemical engineering ...

Currently enrolled in a PhD program at a leading university, national laboratory, or research institute with a strong focus on batteries, electrochemistry, materials science, chemical engineering ...

Showing results 41-60

Phd Program information

See California salary details

$24.7K

$89.4K

$116K

How much do phd program jobs pay per year?

As of Aug 11, 2026, the average yearly pay for phd program in California is $89,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,800.00 and $115,000.00 per year, depending on experience, location, and employer.

What jobs do PhD Program holders get?

PhD program graduates often pursue careers in academia as university professors or researchers, as well as roles in industry such as data scientists, research scientists, or policy analysts. They typically work in environments requiring advanced research skills, critical thinking, and specialized knowledge, often utilizing tools like statistical software and laboratory equipment.

What are some common challenges students face during a PhD program and how can they be addressed?

PhD students often encounter challenges such as managing a heavy workload, maintaining motivation during long research projects, and balancing research with teaching or other commitments. Navigating ambiguous research directions and handling setbacks are also frequent hurdles. Building a strong support network, seeking regular feedback from advisors, and engaging with peers can help address these challenges. Many universities offer resources like counseling, writing workshops, and career guidance to support PhD students throughout their journey.

What are the key skills and qualifications needed to thrive in a PhD program?

To thrive in a PhD program, you need advanced subject knowledge, strong research skills, and typically a master's or bachelor's degree in a relevant field. Familiarity with academic databases, data analysis software (like SPSS, R, or Python), and citation management tools is often required. Exceptional critical thinking, time management, perseverance, and written and verbal communication skills set successful candidates apart. These abilities are crucial for conducting independent research, contributing original knowledge, and navigating the rigorous demands of doctoral study.

What is a PhD program?

A PhD program is an advanced academic course of study that culminates in a Doctor of Philosophy (PhD) degree. It typically involves several years of original research, coursework, and comprehensive exams, followed by the completion and defense of a dissertation. PhD programs are designed for individuals who wish to pursue careers in academia, research, or highly specialized professional fields. Admission is competitive and usually requires a master's degree or equivalent experience. Successful graduates are recognized as experts in their chosen fields.

What jobs can a PhD program get you?

A PhD program prepares individuals for careers in academia, research, and specialized industry roles such as data scientist, research scientist, university professor, or policy analyst. It develops advanced skills in critical thinking, analysis, and project management, often requiring proficiency with research tools and methodologies. These roles typically demand a high level of expertise and may involve publishing, grant writing, or teaching responsibilities.

What is the difference between Phd Program vs Research Scientist?

AspectPhd ProgramResearch Scientist
Required CredentialsTypically requires a bachelor's or master's degree; pursuing or completed PhDUsually requires a PhD or equivalent research experience
Work EnvironmentAcademic institutions, universities, research labs during studyIndustry labs, corporate R&D, research institutions
Employer & Industry UsageEducational and research institutionsPrivate companies, government agencies, biotech, tech firms
Common Search & Comparison IntentUnderstanding educational pathways and research rolesCareer progression and industry research roles

The main difference is that a Phd Program is an educational pathway focused on earning a doctorate degree, often in academia or research training, while a Research Scientist is a professional role in industry or research institutions, typically requiring a PhD and involving applied research work.

What cities in California are hiring for Phd Program jobs? Cities in California with the most Phd Program job openings:

Research Intern - Deep Learning

pony.ai

Fremont, CA โ€ข On-site

$7.0K - $10K/mo

Other

Re-posted 29 days ago


Job description

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural "XB100" 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in November 2024.
Responsibility
  • Work with experts in the field of self-driving vehicles on designing and developing large-scale foundation models trained on vast amounts of real world data.
  • Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc) to these problems; scale them to data pipelines; and streamline them to run in real-time on the cars.
  • Develop and deploy deep learning models, including vision language models (VLMs) and Large Language Models (LLMs)
  • Design and implement multi-modality and multi-task perception models focusing on 3D object detection and tracking, segmentation, semantics understanding, video understanding, scene understanding, traffic control, or trajectory prediction, etc.
  • Optimize deep learning models to run robustly under tight run-time constraints.

Requirements
  • Currently pursuing a Masters or PhD program in Computer Science, Machine Learning, Robotics, or similar field
  • Strong background in deep learning, with experience in model design, training and evaluation.
  • Experience with deep learning research and tools.
  • Proficiency in software design and development using Python and C++.
  • Experience working with large-scale datasets, data preprocessing, and pipeline management.

Preferred Experience
  • Publications on top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/ICLR/AAAI
  • Experience in applying ML/DL for behavior prediction, imitation learning, motion planning.
  • Experience in deploying deep learning algorithms for real time applications, with limited computing resources.
  • Experience in convex optimization, computational geometry or linear algebra.
  • Experience in GPU/CUDA/TensorRT
  • Previous internships involving large-scale deep learning models and systems
  • Preferred graduate before Dec 2026

Note
  • This position is rolling based and it can start any time.
  • This position is fully onsite in Fremont, at least 3 months.

Compensation
  • Master: $7000/month
  • PhD: $10,000/month

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