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

The Trade Desk

Applied Scientist II

Irvine, CA · On-site

... foundations of computer science, graph mining, and machine learning. • Unlock your product ... PhD or post-doc experience in a quantitative discipline). • You have a Bachelor's/Master's/PhD ...

Viant Technology

Staff Applied Scientist

Irvine, CA · On-site

... or a PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field. • Strong foundation in deep learning, NLP, generative AI, and causal inference. • Proficiency in ...

Marvell

Front End CAD Principal Engineer

Irvine, CA · On-site

OR Master's degree and/or PhD in Computer Science, Electrical Engineering or related fields with 5-10 years of experience. Solid understanding and executional experience with the following: * Good ...

The Trade Desk

Applied Scientist II

Irvine, CA

... of computer science, graph mining, and machine learning. * Unlock your product-focused mindset ... You have a Bachelor's/Master's/PhD level degree in a quantitative discipline. Not everyone has the ...

Viant Technology

Staff Applied Scientist

Irvine, CA

$180K - $220K/yr

Masters + At least two peer-reviewed publications in deep learning, NLP, or a related AI domain or a PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field. * Deep ...

Capgroup

Lead AI Research Scientist

Irvine, CA · On-site

$264K - $423K/yr

You hold an MS or PhD in Computer Science, AI, ML, or a related field, with a strong academic foundation and a proven research track record. * You bring 6+ years (post-MS) or 4+ years (post-PhD) of ...

Silvus Technologies

FPGA Design Engineer

Irvine, CA

$132K - $181K/yr

OR an advanced degree (MS or PhD) in Electrical Engineering, Computer Science, or related fields * Proven expertise working with multiple clock-domain, high-utilization FPGA designs. * Experience ...

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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 Jun 19, 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 CS PhD worth it?

A PhD in Computer Science can lead to careers in academia, research, or specialized industry roles that require advanced technical expertise. It typically involves several years of study, research, and publication, and is valuable for positions that demand deep knowledge or innovation in areas like artificial intelligence, algorithms, or data science.

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, and why are they important?

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 is the salary of a PhD in computer science?

A PhD in computer science typically earns a salary ranging from $80,000 to over $150,000 annually, depending on the industry, location, and experience. Academic positions, research roles, and industry jobs such as software engineering or data science may have different salary ranges, with industry roles generally offering higher compensation.

Can I make 200K with a computer science degree?

A PhD in Computer Science can lead to high-paying roles such as research scientists, data scientists, or senior software engineers, where salaries of $200,000 or more are achievable, especially in tech hubs or with extensive experience. However, reaching this level typically requires advanced skills, experience, and sometimes additional certifications or leadership responsibilities.

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

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, and university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.
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 June 2026, with employment types broken down into 1% Internship, 3% As Needed, 29% Full Time, and 67% Part Time. Highlights an 90% Physical, 4% Hybrid, and 6% 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

Posted 11 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.