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Computer Science Startup Jobs in California (NOW HIRING)

Brilent

Data Scientist Intern

San Mateo, CA · On-site

Company Description Brilent is a well-funded, award winning startup located in the Silicon Valley ... Pursuing BS, MS or PhD in Statistics, Applied Mathematics, Computer Science or another quantitative ...

Samsung

Java Backend Developer

San Jose, CA · On-site

$59.25 - $76.75/hr

Self-directed and capable of working in a dynamic and startup-like environment. Preferred: Master's degree in computer science or equivalent. Experience in multi-threaded programming and distributed ...

Samsung

Java Backend Developer

San Jose, CA · On-site

$59.25 - $76.75/hr

... startup-like environment. Preferred: • Master's degree in computer science or equivalent. • Experience in multi-threaded programming and distributed systems. • Experience in a high paced agile ...

Mintex Technology

Software Engineer

San Francisco, CA · On-site

$185K/yr

Experience working at a top-tier startup, Big Tech company, or quant firm preferred * Strong computer science fundamentals including systems design, algorithms, and problem-solving * Ability to work ...

LiveRamp

Co-Op, Data Science

San Francisco, CA · On-site

$31 - $49/hr

Mathematics, Statistics, Computer Science, Physics or other STEM degrees) * Excited to learn new ... Possess a startup personality: smart, ethical, friendly, hard-working and proactive * Excited to ...

LiveRamp

Co-Op, Data Science

San Francisco, CA

$31 - $49/hr

Mathematics, Statistics, Computer Science, Physics or other STEM degrees) * Excited to learn new ... Possess a startup personality: smart, ethical, friendly, hard-working and proactive * Excited to ...

LiveRamp

Co-Op, Data Science

San Francisco, CA · On-site

$31 - $49/hr

Mathematics, Statistics, Computer Science, Physics or other STEM degrees) * Excited to learn new ... Possess a startup personality: smart, ethical, friendly, hard-working and proactive * Excited to ...

LiveRamp

Co-Op, Data Science

San Francisco, CA

$31 - $49/hr

Mathematics, Statistics, Computer Science, Physics or other STEM degrees) * Excited to learn new ... Possess a startup personality: smart, ethical, friendly, hard-working and proactive * Excited to ...

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All JobsComputer Science Startup JobsComputer Science Startup Jobs in California

Computer Science Startup information

See California salary details

$82.4K

$101.2K

$133.7K

How much do computer science startup jobs pay per year?

As of Jun 25, 2026, the average yearly pay for computer science startup in California is $101,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $113,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Computer Science Startup position, and why are they important?

To succeed in founding or leading a computer science startup, you need a solid background in computer science or software engineering, an entrepreneurial mindset, and experience in product development. Familiarity with programming languages, cloud platforms, and agile development tools, as well as knowledge of industry certifications like AWS Certified Developer or ScrumMaster, can be highly beneficial. Strong skills in communication, problem-solving, adaptability, and leadership are crucial to navigate uncertainties and drive team collaboration. These skills and qualities are vital to innovate effectively, secure investment, and build scalable tech solutions in a highly competitive market.

What is a Computer Science Startup job?

A Computer Science Startup job typically involves working in a newly founded tech company, focusing on developing innovative software, algorithms, or systems. Employees in these roles often wear multiple hats, including coding, product development, and problem-solving. Startups require adaptability, creativity, and a willingness to work in a fast-paced, evolving environment. Unlike established companies, startups may offer more autonomy and opportunities for rapid career growth but can also come with higher uncertainty.

What are the typical challenges faced in a computer science startup and how can I prepare for them?

Working in a computer science startup often involves managing rapid changes in technology, tight deadlines, and the pressure to deliver innovative solutions with limited resources. Team members frequently wear multiple hats, balancing development, testing, and sometimes even customer support or business planning. To prepare, it’s helpful to stay up-to-date with industry trends, cultivate flexibility in your work style, and strengthen your project management skills. Building a strong network and seeking mentorship within the startup and tech communities can also provide practical support and guidance. Embracing a proactive, problem-solving approach will help you navigate and thrive in this dynamic environment.

What are the most commonly searched types of Computer Science Startup jobs in California? The most popular types of Computer Science Startup jobs in California are:
What are popular job titles related to Computer Science Startup jobs in California? For Computer Science Startup jobs in California, the most frequently searched job titles are:
What job categories do people searching Computer Science Startup jobs in California look for? The top searched job categories for Computer Science Startup jobs in California are:
What cities in California are hiring for Computer Science Startup jobs? Cities in California with the most Computer Science Startup job openings:
Computer Science Startup jobs near you
Infographic showing various Computer Science Startup job openings in California as of June 2026, with employment types broken down into 5% Internship, 86% Full Time, 5% Part Time, 2% Contract, and 2% Nights. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $101,157 per year, or $48.6 per hour.
Manager, Data Science - Consumer Identity Machine Learning

Manager, Data Science - Consumer Identity Machine Learning

Capital One

San Jose, CA • On-site

Full-time

Posted 6 days ago

Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

67th of 142 rated banks

Job description

Manager, Data Science - Consumer Identity Machine Learning
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

Consumer Identity ML is the data science and machine learning team inside Capital One's AI foundation organization. We deliver real-time, personalized, intelligent customer experiences in Capital One's suite of award-winning digital products, including our website, mobile app, emails, chatbot, and beyond. We partner closely with our product and engineering teams to build the data and modeling platforms crucial to the deep understanding of customers that enables our applications to delight them by adapting to their needs.

As part of Consumer ML, you will:

  • Explore billions of clickstream events to discover the patterns in customer behavior, and use those patterns to model key customer outcomes

  • Develop the real-time models that use vast amounts of customer data to anticipate customers' needs and deliver the right options at the right time

  • Develop the models that ensure our most important customer data is accurate, fighting fraud and other bad behavior, while enabling seamless digital experiences across all our products

Role Description

In Consumer Identity ML, you will work at all phases of the data science life cycle, including:

  • Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams toimprove operationalizationin scalable and resilient production systems that serve 50+ million customers.

  • Partner closely with a variety of business and product teams across Capital One to conduct the experiments that guide improvements to customer experiences and business outcomes in domains like marketing, servicing and fraud prevention.

  • Write software (Python, e.g.) to collect, explore, visualize and analyze numerical and textual data (billions of customer transactions, clicks, payments, etc.) using tools like Spark.

The Ideal Candidate is

  • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.

  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.

  • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

  • Statistically-minded.You've built models, validated them, and back tested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

  • A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.


Basic Qualifications:

  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

    • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics

    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics

    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics

  • At least 1 year of experience leveraging open source programming languages for large scale data analysis

  • At least 1 year of experience working with machine learning

  • At least 1 year of experience utilizing relational databases


Preferred Qualifications:

  • PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
  • At least 1 year of experience working with AWS
  • At least 4 years' experience in Python, Scala, or R for large scale data analysis
  • At least 4 years' experience with machine learning
  • At least 4 years' experience with SQL


Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $197,300 - $225,100 for Mgr, Data Science


New York, NY: $215,200 - $245,600 for Mgr, Data Science


San Jose, CA: $215,200 - $245,600 for Mgr, Data Science









Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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