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

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$58.9K

$86.7K

$102.2K

How much do phd computer science jobs pay per year?

As of Sep 2, 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.

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 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.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles, often requiring advanced skills in algorithms, data analysis, and programming. While it offers opportunities for high-level positions and expertise, it typically involves several years of study and may not be necessary for most industry jobs, which often value practical experience and skills. The decision depends on career goals and the desire for research or teaching roles.

What can I do after a PhD in computer science?

A PhD in computer science prepares individuals for careers in academia, research, or advanced industry roles such as data scientist, machine learning engineer, or software architect. Graduates often pursue postdoctoral research, work in R&D departments, or obtain certifications in specialized tools and programming languages to enhance their expertise.

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, or 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 August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $86,705 per year, or $41.7 per hour.

Senior Machine Learning Engineer, Sentry Tower

Anduril Industries

Irvine, CA • On-site, Remote

$122K - $168K/yr

Full-time

Re-posted 13 days ago

Anduril rating

9.1

Company rating: 9.1 out of 10

Anduril

Based on 17 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 76,515 frontline employees who took The Breakroom Quiz

Job description

About the Team

The Counter Intrusion MSE team develops systems that provide force protection capabilities, monitoring the perimeter of secure areas, land or sea, for approaching people, vehicles, and vessels. We live in a world where security officers are increasingly overwhelmed by sensor data feeds. Our products leverage advanced sensor fusion and autonomy to seamlessly render activity in the environment to Lattice's common operating picture. This relieves operators of our system from a ton of burden and allows our customers to get more done with fewer personnel. Increasingly, Counter Intrusion MLEs are working on projects to bring customers' existing legacy security systems into the Lattice ecosystem. Key to this effort is building scalable software solutions so that we can service many customers without requiring bespoke software for each one. The Counter Intrusion team is responsible for the development, testing, deployment, and sustainment of our family of systems. We work closely with other teams from product, engineering, sales, logistics, operations, and mission success.

About the Role

We are looking for a Machine Learning Engineer to apply the latest research to solve our toughest problems. This role will be responsible for owning the whole machine learning stack for the Counter Intrusion team. You will design and train multi-sensor object detection models for perception on edge compute devices that push the boundaries of what's possible with our sensors. You will develop learning algorithms to optimize the behavior of autonomous systems. You will also be responsible for the end-to-end design, implementation, and performance of the ML stack, including the infrastructure for data collection and training. Your work will directly impact Anduril's ability to deliver cutting-edge defense technology, with the opportunity to identify and develop novel ML applications across our product portfolio.

Responsibilities
  • Propose and prototype innovative solutions to solve real-world problems, leveraging the latest state-of-the-art techniques in the field
  • Develop and maintain core ML pipelines
  • Train and deploy deep learning models for real-time applications
  • Collaborate cross-functionally with camera, systems and labeling teams
  • Curate datasets for evaluating performance and comparing performance trends over time
  • Provide technical mentorship to other junior ML engineers
Required Qualifications
  • MS or PhD in Machine Learning, Robotics or Computer Science, with emphasis on Computer Vision
  • BS in Computer Science, Machine Learning, Electrical Engineering, or related field
  • 6+ years of experience developing, benchmarking and optimizing ML algorithms on large-scale datasets
  • Strong Deep Learning and CV background
  • Proficiency in C++ development in a Linux environment
  • Experience with Python development and deep learning frameworks such as PyTorch, JAX and TensorFlow
  • Experience deploying models with TensorRT and ONNX
  • Optimize on-device inference and vision kernels across CPU/GPU/NPU
  • Track record of developing and deploying CV models from R&D to production
  • Experience writing and maintaining automated continuous integration tests
  • Knowledge of system profiling and tuning for latency, memory and power efficiency
  • Ability to conduct experiments, ablation studies and create highly detailed reports
  • Eligible to obtain and maintain a U.S. Secret security clearance
Preferred Qualifications
  • Experience in one or more of the following:
    • Object Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Depth Estimation, Model Pruning and Compression
  • Experience in one or more of the following:
    • Visual Odometry, SLAM, Multi-view Geometry, Camera Models, RGB-D and LIDAR Sensor Fusion, Optical Flow
  • Experience troubleshooting and analyzing remotely deployed software systems
  • 1 year of experience in a technical leadership role

Working at Anduril

About Anduril, in their own words

From Anduril

As the world enters an era of strategic competition, Anduril delivers cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the warfighter in months, not years.

What Anduril employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Anduril Industries logo

About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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