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Phd Computer Science Jobs in Riverside, CA (NOW HIRING)

Edisonrefertalent

Senior Data Scientist Advisor

Pomona, CA · On-site

$120 - $160/hr

PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, business analytics = 2 years of experience credit. Preferred Qualifications * Master's or Ph.D. degree in computer science ...

Broadcom, Inc.

R&D IC Designer

Irvine, CA · On-site

$91K - $146K/yr

Bachelor's degree in Engineering/Computer Science and 5+ years of related experience or Masters degree in Engineering/Computer Science and 3+ years of related experience or PhD in Engineering ...

Broadcom

R&D IC Designer

Irvine, CA

Bachelor's degree in Engineering/Computer Science and 5+ years of related experience or Masters degree in Engineering/Computer Science and 3+ years of related experience or PhD in Engineering ...

Broadcom, Inc.

R&D IC Designer

Irvine, CA · On-site

Bachelor's degree in Engineering/Computer Science and 5+ years of related experience or Masters degree in Engineering/Computer Science and 3+ years of related experience or PhD in Engineering ...

Broadcom, Inc.

R&D IC Designer

Irvine, CA

$146K/yr

Bachelor's degree in Engineering/Computer Science and 5+ years of related experience or Masters degree in Engineering/Computer Science and 3+ years of related experience or PhD in Engineering ...

Bio-Rad Laboratories

Data Scientist II

Irvine, CA · On-site

$121K - $166K/yr

Bachelor's, Master's, or PhD in Computer Science, Data Science, Mathematics, Engineering or a related field. * Work Experience: 3+ years of experience with a Master's or PhD, or 5+ years of ...

Bio-rad Laboratories, Inc.

Data Scientist II

Irvine, CA · On-site

$121K - $166K/yr

Bachelor's, Master's, or PhD in Computer Science, Data Science, Mathematics, Engineering or a related field. * Work Experience: 3+ years of experience with a Master's or PhD, or 5+ years of ...

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All JobsPhd Computer Science JobsPhd Computer Science Jobs in Riverside, CA

Phd Computer Science information

See Riverside, CA salary details

$58.9K

$86.7K

$102.2K

How much do phd computer science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for phd computer science in Riverside, CA is $86,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,900.00 and $97,500.00 per year, depending on experience, location, and employer.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles requiring advanced expertise. It typically involves several years of study and research, and is valuable for positions that demand deep technical knowledge or innovation. However, it may not be necessary for most industry jobs, which often prioritize skills and experience over advanced degrees.

What are some common challenges faced by PhD computer science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is a PhD in computer science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

What are the key skills and qualifications needed to thrive as a PhD in computer science?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for research positions, university faculty roles, and advanced roles in industry such as data scientist, machine learning engineer, or AI researcher. These roles often require strong programming skills, knowledge of algorithms, and experience with tools like Python, TensorFlow, or cloud platforms.
What are popular job titles related to Phd Computer Science jobs in Riverside, CA? For Phd Computer Science jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Phd Computer Science jobs in Riverside, CA look for? The top searched job categories for Phd Computer Science jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Phd Computer Science jobs? Cities near Riverside, CA with the most Phd Computer Science job openings:
Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $86,705 per year, or $41.7 per hour.

Computer Vision Engineer - 3D

Stark Pharma Solutions Inc

Irvine, CA • On-site

$119K - $141K/yr

Contractor

Re-posted 4 days ago

Job description

Hi,

My name is Karthik Mutyala, and I am a Recruitment Manager with Stark Pharma Solutions, specializing in opportunities across the Pharmaceutical, Biotechnology, Medical Device, and Life Sciences industries.

I am actively connecting with professionals for current and upcoming opportunities. If you are open to exploring new roles or would like to stay informed about relevant positions, please send me your updated resume along with the best number and time to reach you.

Role: 3D Data Scientist / Computer Vision Engineer

Location: Irvine, CA (Hybrid)

Duration: 12-Month Contract

Schedule: Monday – Friday | 8:00 AM – 5:00 PM PST

Position Overview

We are seeking a highly skilled 3D Data Scientist / Computer Vision Engineer to support the development and validation of advanced 3D imaging technologies within a cutting-edge digital health and aesthetics environment. This role will focus on validating 3D facial capture systems, developing novel 3D digital biomarkers, and applying machine learning techniques to complex 3D datasets.

The ideal candidate combines expertise in data science, computer vision, machine learning, and 3D modeling technologies, with the ability to translate complex data into clinically meaningful insights.

Key Responsibilities

3D Imaging & Validation

  • Lead validation activities for 3D facial capture and imaging systems.
  • Design and execute validation studies to evaluate accuracy, reproducibility, and performance across diverse datasets.
  • Develop quantitative testing methodologies and statistical frameworks to assess 3D image quality and geometric precision.
  • Document findings and communicate results to technical and business stakeholders.
  • Computer Vision & Digital Endpoint Development
  • Develop and validate novel 3D digital measurements and biomarkers from facial imaging data.
  • Create scalable workflows for processing, analyzing, and extracting features from 3D meshes, point clouds, and photogrammetry data.
  • Support the development of clinically relevant outcome measures using advanced image analysis techniques.
  • Establish best practices for data preprocessing, quality control, and feature engineering.
  • Machine Learning & Data Science
  • Build, train, and evaluate machine learning models using 3D imaging datasets.
  • Apply computer vision, geometric deep learning, and statistical modeling techniques to solve complex analytical challenges.
  • Benchmark model performance and optimize algorithms for robustness, accuracy, and scalability.
  • Collaborate with software, engineering, and scientific teams to deploy and improve analytical solutions.
  • Cross-Functional Collaboration
  • Partner with imaging specialists, software engineers, clinicians, and product teams to define technical requirements and project goals.
  • Support research initiatives and contribute to innovation in digital health, imaging, and computer vision technologies.
  • Stay current with emerging trends in AI, machine learning, computer vision, and 3D data science.

Required Qualifications

  • Bachelor's, Master's, or PhD in Computer Science, Data Science, Computer Vision, Biomedical Engineering, Machine Learning, or a related quantitative field.
  • 3+ years of experience in Data Science, Machine Learning, Computer Vision, or related technical roles.
  • Strong proficiency in Python and data science frameworks such as NumPy, Pandas, SciPy, Scikit-learn, PyTorch, or TensorFlow.
  • Hands-on experience working with:
  • 3D Meshes
  • Point Clouds
  • Depth Maps
  • Photogrammetry Data
  • Experience with 3D visualization, rendering, or modeling tools such as Blender, Autodesk Maya, or similar platforms.
  • Strong background in statistical analysis, validation methodologies, and experimental design.
  • Excellent communication and technical documentation skills.