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Computer Science Jobs in Santa Rosa, CA (NOW HIRING)

Apple

ML Agent Engineer

Bodega Bay, CA

$142K - $263K/yr

  • Medical

  • Dental

  • Retirement

Preferred Qualifications Masters Degree or PhD in Computer Science, Engineering, Math, or Physics from a strong program. Familiarity with macOS/iOS development ecosystems. Active personal interest in ...

Apple

Senior Machine Learning Engineer (Search)

Bodega Bay, CA

$216K - $324K/yr

  • Medical

  • Dental

  • Retirement

D in computer science or equivalent field with 7+ years of industry experience. Expertise and experience in various facets of machine learning and natural language processing, such as classification ...

PACE Supply

IT Technology Specialist

Rohnert Park, CA · On-site

$32 - $42/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Associate degree in computer science or relevant experience in computer science, information technology, or a related field. * Certifications in relevant technologies, such as Microsoft, Cisco, or ...

PACE Supply

IT Technology Specialist

Rohnert Park, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Associate degree in computer science or relevant experience in computer science, information technology, or a related field. * Certifications in relevant technologies, such as Microsoft, Cisco, or ...

PACE Supply

IT Technology Specialist

Rohnert Park, CA · On-site

$32 - $42/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Associate degree in computer science or relevant experience in computer science, information technology, or a related field. * Certifications in relevant technologies, such as Microsoft, Cisco, or ...

Apple

Machine Learning FEA Engineer

Bodega Bay, CA

$142K - $263K/yr

  • Medical

  • Dental

  • Retirement

D. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline Publications in top journals or conferences Minimum Qualifications Strong Expertise in Machine Learning, Deep ...

Apple

Machine Learning FEA Engineer

Bodega Bay, CA

$142K - $263K/yr

  • Medical

  • Dental

  • Retirement

D. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline Publications in top journals or conferences Minimum Qualifications Strong Expertise in Machine Learning, Deep ...

Rock 'n Roll

Druid

Napa, CA · On-site

Bachelor degree in Computer Science or equivalent. * Hands-on experience with one of the following technologies: Spark, Kafka, Druid, NoSQL-Databases. * Familiarity with the AWS-Stack of advantage.

Rock 'n Roll

Druid

Napa, CA

Bachelor degree in Computer Science or equivalent. * Hands-on experience with one of the following technologies: Spark, Kafka, Druid, NoSQL-Databases. * Familiarity with the AWS-Stack of advantage.

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All JobsComputer Science JobsComputer Science Jobs in Santa Rosa, CA

Computer Science information

See Santa Rosa, CA salary details

$61.8K

$90.9K

$107.1K

How much do computer science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for computer science in Santa Rosa, CA is $90,865.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,700.00 and $102,200.00 per year, depending on experience, location, and employer.

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What are computer science jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

What are the key skills and qualifications needed to thrive in a computer science role, and why are they important?

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

Are computer science majors still in demand?

Computer science majors are currently in high demand due to the growth of technology, software development, cybersecurity, and data analysis fields. Employers seek candidates with programming skills, knowledge of algorithms, and experience with tools like Python, Java, and cloud platforms, making it a strong career choice with good job prospects.

What are careers in computer science?

Careers in computer science include roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require strong programming skills, knowledge of algorithms, and familiarity with tools like programming languages, databases, and operating systems.

What can you do with a computer science degree?

A computer science degree prepares individuals for a variety of roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. It provides skills in programming, algorithms, and systems design, often requiring knowledge of programming languages, databases, and problem-solving. Graduates can work in technology companies, finance, healthcare, or government agencies, often with opportunities for certification and ongoing learning.

What jobs can I do with computer science?

A degree in computer science opens opportunities for roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like databases and operating systems.
More about Computer Science jobs

What are the most commonly searched types of Computer Science jobs in Santa Rosa, CA?

The most popular types of Computer Science jobs in Santa Rosa, CA are:

What job categories do people searching Computer Science jobs in Santa Rosa, CA look for?

The top searched job categories for Computer Science jobs in Santa Rosa, CA are:

What cities near Santa Rosa, CA are hiring for Computer Science jobs?

Cities near Santa Rosa, CA with the most Computer Science job openings:

Computer Science jobs near you
Infographic showing various Computer Science job openings in Santa Rosa, CA as of August 2026, with employment types broken down into 79% Full Time, 6% Part Time, and 15% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $90,865 per year, or $43.7 per hour.

AI at KenkoTech Santa Rosa, California

KenkoTech Futures

Santa Rosa, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Opportunity

We're partnering with one of the world's leading AI x Biology companies, building frontier foundation models designed to transform therapeutic discovery. The team is developing large-scale multimodal foundation models across biological data modalities - including single-cell genomics, transcriptomics, DNA, RNA and proteins - to create universal biological representations capable of accelerating target discovery, disease understanding and drug development. This is a rare opportunity to join an exceptionally strong research organisation working at the intersection of large-scale machine learning and modern biology. You'll collaborate with world-class AI researchers, computational biologists and experimental scientists to develop the next generation of biological foundation models that directly power therapeutic discovery. The role is highly research-focused, but with a strong emphasis on building models that move beyond publications and have real scientific impact.

Key Responsibilities
  • Develop and train large-scale foundation models across biological modalities including DNA, RNA, proteins and single-cell data
  • Research novel model architectures, representation learning approaches and pre-training strategies for biological data
  • Design and implement large-scale distributed training pipelines for frontier AI models
  • Develop methods for multimodal learning across diverse biological datasets
  • Improve model performance through post-training, evaluation, alignment and fine-tuning techniques
  • Work closely with experimental scientists to translate model outputs into biological insight
  • Design rigorous evaluation frameworks for biological foundation models
  • Contribute to the long-term research direction of the company's AI platform
  • Stay at the forefront of developments across machine learning, foundation models and computational biology
Qualifications
  • PhD in Machine Learning, Computer Science, Computational Biology, Bioinformatics, Statistics, Mathematics, Physics or a related quantitative discipline
  • Outstanding research background in modern machine learning
  • Strong publication record at leading conferences or journals (NeurIPS, ICML, ICLR, Nature, Science, Cell, etc.)
  • Experience developing, training or evaluating large deep learning models
  • Strong programming skills using modern ML frameworks (PyTorch, JAX, etc.)
  • Experience with distributed training or large-scale model development is highly desirable
  • Ability to work across both research and engineering to build production-quality systems
  • Ideal Background

We're particularly interested in researchers with experience in one or more of the following:

  • Foundation Models
  • Representation Learning
  • Large Language Models
  • Multimodal Learning
  • Self-Supervised Learning
  • Generative Modelling
  • Reinforcement Learning
  • Large-Scale Distributed Training
  • Single-Cell Foundation Models
Why Join
  1. Help build some of the world's most advanced foundation models for biology
  2. Work alongside internationally recognised AI researchers and computational biologists
  3. Apply frontier AI to real therapeutic discovery problems
  4. Access enormous proprietary biological datasets and large-scale compute
  5. Research with genuine scientific and clinical impact rather than purely academic objectives
  6. Join one of the best-capitalised and fastest-growing AI x Biology organisations in the world
  7. Opportunity to publish, innovate and help shape the future of AI-driven drug discovery

Apply