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

CookUnity

Director, Data Science/ML

Los Angeles, CA

PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field * Experience with real-time ML systems and feature stores * Background in recommendation systems or ...

Avum Inc.

Chief Scientist

Agoura Hills, CA · On-site

$155 - $210/hr

Master's or PhD in computer science, engineering, or related field * 12+ years of software development experience with 5+ in architecture/leadership * Expert-level Java, Spring Boot, and microservice ...

Tatari

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

Master's degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics ... PhD in a technical field * Demonstrated experience in leading AI work, ideally including work with ...

Tatari

Data Science Manager

Los Angeles, CA

$160K - $220K/yr

Master's degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics ... PhD in a technical field * Demonstrated experience in leading AI work, ideally including work with ...

Targeted Talent

Compiler Tech Lead

Los Angeles, CA · On-site

$170K - $190K/yr

MS or PhD in Computer Science, Engineering or related field * 10+ years of experience developing optimizing compilers for a variety of architectures * Understanding of advanced optimization ...

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Phd Computer Science information

See Camarillo, CA salary details

$57.7K

$84.8K

$100K

How much do phd computer science jobs pay per year?

As of Aug 25, 2026, the average yearly pay for phd computer science in Camarillo, CA is $84,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,100.00 and $95,400.00 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 job categories do people searching Phd Computer Science jobs in Camarillo, CA look for?

The top searched job categories for Phd Computer Science jobs in Camarillo, CA are:

What cities near Camarillo, CA are hiring for Phd Computer Science jobs?

Cities near Camarillo, CA with the most Phd Computer Science job openings:

Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Camarillo, 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 $84,808 per year, or $40.8 per hour.

Chief Scientist

Beijing Academy of Artificial Intelligence(BAAI)

Los Angeles, CA • On-site

Other

Re-posted 2 days ago

Job description

Key Responsibilities：

  1. Scientific Research Strategy & Direction
  2. Formulate mid-to-long term research plans for the research institute, focusing on cutting-edge AI fields including large language models, multimodal learning, reinforcement learning, and AI for Science, to maintain technological leadership.
  3. Promote interdisciplinary collaborative innovation and establish joint research mechanisms with universities, enterprises, and laboratories.
  4. Team Management & Talent Development
  5. Build and lead a high-caliber research team, optimize talent structure, and mentor young scientists.
  6. Establish an efficient research management system to enhance team collaboration efficiency and innovation capacity.
  7. Academic Influence Building
  8. Publish research outcomes in top-tier conferences (NeurIPS, ICML, CVPR, etc.) and journals to elevate the institute’s academic reputation.
  9. Expand the international academic cooperation network and lead academic events such as workshops, competitions, and seminars.
  10. Cross-Departmental Collaboration
  11. Coordinate with technical, product, and commercial teams to drive the industrialization and application of research achievements.
  12. Establish joint laboratories with leading industry enterprises to promote co-construction of the technological ecosystem.


Job Requirements：

  1. Academic Background
  • PhD degree in Artificial Intelligence, Computer Science, or related disciplines.
  • 10+ years of research experience with working experience at world-class universities, laboratories, or corporate research institutes.
  • Published 20+ papers in top-tier journals/conferences (including Nature sub-journals, TPAMI, NeurIPS, etc.), or led major key research projects.
  • International academic influence is highly preferred, such as serving as conference chair, journal editorial board member, IEEE/ACM Fellow, etc.

2.Management Experience

  • 5+ years of experience managing research teams (team size ≥ 20), with expertise in interdisciplinary collaboration.
  • Successfully led national-level or enterprise-level major research projects.

3.Soft Skills

  • Sharp industry insight and strategic thinking.
  • Excellent communication and resource integration capabilities.
  • Experience as a committee member of international academic organizations or Area Chair for top conferences.
  • Background in entrepreneurship or technology industrialization

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