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Applied Computer Science Jobs in California (NOW HIRING)

InMobi Advertising

Applied Scientist III

San Mateo, CA · On-site

They are seeking an Applied Scientist III to work on advanced algorithmic problems that impact a ... D. (preferred) or Master's degree in Computer Science, Statistics, Mathematics, Operations Research ...

Hop

Applied Data Scientist

San Francisco, CA

What we require BS/MS in Statistics, Computer Science, Applied Mathematics, or a quantitative field. 3-5 years of applied data science; minimum 2 years working with NLP or large-scale text data in ...

Hop

Applied Data Scientist

San Francisco, CA

What we require * BS/MS in Statistics, Computer Science, Applied Mathematics, or a quantitative field. * 3-5 years of applied data science; minimum 2 years working with NLP or large-scale text data ...

Capital One

Applied Researcher II

San Jose, CA · On-site

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

Capital One

Applied Researcher II

San Jose, CA · On-site

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

Capital One

Applied Researcher II

San Francisco, CA · On-site

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

Capital One

Applied Researcher II

San Jose, CA

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

Capital One

Applied Researcher II

San Jose, CA · On-site

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

Capital One

Applied Researcher II

San Francisco, CA

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

Capital One

Applied Researcher II

San Francisco, CA · On-site

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

Capital One

Applied Researcher II

San Jose, CA

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

Capital One

Applied Researcher II

San Jose, CA

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

Capital One

Applied Researcher II

San Francisco, CA · On-site

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

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Applied Computer Science information

See California salary details

$20.1K

$68.8K

$160.1K

How much do applied computer science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for applied computer science in California is $68,768.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,638.00 and $94,495.00 per year, depending on experience, location, and employer.

What is applied computer science?

An Applied Computer Science job focuses on practical applications of computing principles to solve real-world problems. Professionals in this field use programming, algorithms, data analysis, and software development to create efficient solutions in various industries. Unlike theoretical computer science, applied computer science emphasizes hands-on implementation and problem-solving. Careers include roles in software development, cybersecurity, data science, and systems administration. These jobs require both technical expertise and the ability to apply computing knowledge to diverse challenges.

What are the key skills and qualifications needed for applied computer science?

To thrive in Applied Computer Science, you need a strong understanding of programming, algorithms, and software engineering, usually with a relevant degree such as Computer Science or Software Engineering. Familiarity with development tools, databases, cloud platforms, and possibly certifications in areas like AWS, Azure, or specific programming languages is highly valuable. Problem-solving ability, teamwork, and effective communication are vital soft skills for delivering solutions in collaborative environments. These abilities ensure your technical solutions are robust, efficiently meet user needs, and integrate smoothly into real-world business contexts.

What are common career advancement opportunities in applied computer science?

Professionals in Applied Computer Science often start in roles such as software developer, systems analyst, or data analyst, and can advance to positions like lead engineer, project manager, or solutions architect with experience. Many organizations encourage ongoing learning through workshops, certifications, and cross-functional projects, allowing for skill-building and specialization in areas like cloud computing, cybersecurity, or artificial intelligence. Some may progress into leadership roles overseeing development teams or managing technical projects. As technology evolves, there is significant potential to transition into new specialties or higher-level positions within the IT and software industry.

Are applied computer science majors still in demand?

Applied computer science majors are in high demand due to the growth of technology industries, data analysis, cybersecurity, and software development. Skills in programming languages, algorithms, and systems design increase employability across various sectors, with many roles requiring practical experience and certifications.

What are 5 careers in applied computer science?

Applied computer science offers careers such as software developer, data analyst, cybersecurity analyst, systems engineer, and machine learning engineer. These roles typically require programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or cloud platforms.

What can you do with an applied computer science degree?

An applied computer science degree prepares individuals for roles such as software developer, data analyst, systems analyst, cybersecurity specialist, or network administrator. Graduates can work in technology companies, finance, healthcare, or government agencies, often utilizing programming languages, data management, and problem-solving skills to develop and maintain computer systems and applications.

What are the most commonly searched types of Applied Computer Science jobs in California?

The most popular types of Applied Computer Science jobs in California are:

What are popular job titles related to Applied Computer Science jobs in California?

For Applied Computer Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Applied Computer Science jobs in California look for?

The top searched job categories for Applied Computer Science jobs in California are:

Applied Computer Science jobs near you
Infographic showing various Applied Computer Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $68,768 per year, or $33.1 per hour.

Applied Scientist III

InMobi Advertising

San Mateo, CA • On-site

Full-time

Re-posted 5 days ago

Job description

Job Summary:
InMobi Advertising is a global technology leader helping marketers win through innovative advertising solutions. They are seeking an Applied Scientist III to work on advanced algorithmic problems that impact a global advertising marketplace, focusing on areas such as traffic shaping, fraud detection, and pricing strategies.
Responsibilities:
• Formulate, analyze, and implement algorithms that power real-time auctions, dynamic pricing, bid shaping, pacing, and traffic allocation across a massive-scale ad marketplace.
• Design and experiment with methods in online learning, reinforcement learning, multi-armed bandits, forecasting, game theory, and Bayesian modeling—in non-stationary, adversarial environments.
• Collaborate with product and engineering teams to deploy your models in production and run real-world experiments with rapid feedback loops (measured in hours, not weeks).
• Contribute to the scientific community by publishing high-quality research, conducting internal seminars, and staying abreast of advances in machine learning, algorithms, and applied statistics.
• Evaluate the long-term dynamics of deployed algorithms, incorporating feedback, exploitation-exploration trade-offs, and incentives within multi-agent systems.
• Identify new areas for innovation by translating business challenges into research questions and proposing novel, high-impact methodologies.
• Translate mathematical ideas into practical, high-performance algorithms that operate at scale in production environments.
• Explore and close the loop between model predictions and real-world outcomes, refining algorithms based on system behavior.
Qualifications:
Required:
• 5.5–7 years of experience working on algorithmic or applied research problems, ideally with some production deployment experience.
• Deep grounding in one or more of: Statistical learning theory, optimization, probability theory, and information theory; Causal inference, decision theory, game theory; Online learning, bandits, RL, Bayesian methods.
• Proficient in scientific computing with Python, including packages such as NumPy, SciPy, PyTorch, or TensorFlow.
• Comfortable working with big data platforms like Apache Spark, distributed computing, and large-scale datasets.
• A researcher’s mindset: questions first, implementation later. You are thoughtful about assumptions and rigorous about validation.
• End-to-end ownership: you can go from idea to production and thrive in applied settings.
Preferred:
• Ph.D. (preferred) or Master’s degree in Computer Science, Statistics, Mathematics, Operations Research, Physics, or a related quantitative discipline.
• Strong publication record (e.g., NeurIPS, ICML, AISTATS, KDD, UAI, WSDM, EC, SODA, COLT) is a strong plus—even if not recent.
• Prior experience in ad tech, marketplaces, or dynamic pricing is helpful but not required.
Company:
InMobi Advertising is a leading global programmatic platform specializing in mobile-first solutions that drive customer growth. Founded in 2007, the company is headquartered in Bangalore, IND, with a team of 1001-5000 employees. The company is currently Late Stage.

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