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Computer Science Grad Jobs in Pleasanton, CA (NOW HIRING)

Everpure

Software Engineer Grad

Santa Clara, CA · On-site

THE ROLE As a Software Engineer Grad, you will be part of a team that's building the future of data ... Strong computer science fundamentals: A solid understanding of data structures, algorithms ...

SynergisticIT

Software Engineer II

San Jose, CA

$114K - $156K/yr

SynergisticIT Is Built for You Graduating with a Computer Science degree is a huge achievement. But ... A marketing team working with you till you get hired Our CS grad alumni have landed roles at ...

FlexAI

Software Engineer, New Grad

San Jose, CA · On-site

$100K - $150K/yr

Role Overview FlexAI is looking for a Software Engineer (New Grad) to join our engineering team and ... S. in Computer Science, Software Engineering, or a related technical field * At least one ...

FlexAI

Software Engineer, New Grad

San Jose, CA · On-site

Role Overview FlexAI is looking for a Software Engineer (New Grad) to join our engineering team and ... S. in Computer Science, Software Engineering, or a related technical field * At least one ...

AppLovin

Backend Engineer, New Grad

Palo Alto, CA · On-site

Have excellent knowledge of computer science fundamentals including data structures, algorithms, and coding * Professional experience with C++ and/or Java is a plus * Experience independently ...

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Computer Science Grad information

What jobs can you get as a computer science graduate?

Computer science graduates can pursue roles such as software developer, systems analyst, web developer, database administrator, cybersecurity analyst, and data scientist. These positions often require knowledge of programming languages, problem-solving skills, and familiarity with tools like Java, Python, or SQL. Job opportunities are available across industries including technology, finance, healthcare, and government.

What job makes $10,000 a month without a degree?

High-paying roles such as software developers, sales managers, or freelance consultants can earn $10,000 or more per month without a formal degree, often relying on skills, experience, and certifications. Success in these roles typically depends on expertise, portfolio, or client base rather than formal education.

What are the key skills and qualifications needed to thrive as a Computer Science Graduate, and why are they important?

To thrive as a Computer Science Graduate, you need a solid understanding of programming languages, algorithms, data structures, and fundamental computer science concepts, typically gained through a bachelor's degree in computer science or a related field. Familiarity with development environments, version control systems like Git, and frameworks relevant to your specialization is often expected. Problem-solving, teamwork, and strong communication skills help you collaborate efficiently and adapt to evolving project requirements. These skills and qualities are crucial for building robust software solutions and succeeding in dynamic technology-driven workplaces.

What are Computer Science grads?

Computer Science grads are individuals who have completed a degree program in computer science, typically at the undergraduate or graduate level. They possess knowledge and skills in areas such as programming, algorithms, data structures, software engineering, and computer systems. These graduates are equipped to pursue careers in various tech fields including software development, data analysis, cybersecurity, and more. Their education often includes both theoretical foundations and practical experience with modern technologies.

What are some common entry-level positions for recent computer science graduates, and how do they typically collaborate within a team?

Recent computer science graduates often start in roles such as software engineer, QA analyst, IT support specialist, or junior web developer. In these positions, you'll usually work as part of a project team alongside more experienced engineers, designers, and sometimes product managers. Collaboration is key—you'll participate in code reviews, daily stand-up meetings, and pair programming sessions to learn best practices and contribute to shared goals. This team-oriented environment not only helps build technical skills but also offers mentorship opportunities and exposure to different aspects of software development.

What jobs can you get after computer science?

A computer science graduate can pursue roles such as software developer, data analyst, cybersecurity analyst, systems analyst, or network administrator. These positions often require knowledge of programming languages, problem-solving skills, and familiarity with tools like databases and operating systems.

What is the difference between Computer Science Grad vs Software Developer?

AspectComputer Science GradSoftware Developer
CredentialsDegree in Computer Science or related fieldOften requires a degree, but certifications and experience can suffice
Work EnvironmentAcademic settings, internships, entry-level rolesCorporate offices, tech companies, startups
Industry UsageEducational institutions, entry-level tech rolesProduct development, application building, coding tasks
Search & Comparison IntentEntry-level, educational background, career startPractical coding, project work, job opportunities

While a Computer Science Grad typically refers to someone with a degree in computer science, a Software Developer is a professional actively involved in coding and building software applications. Many Computer Science Grads pursue roles as Software Developers, but the latter emphasizes practical skills and work experience. Understanding this difference helps job seekers target the right roles and employers effectively.

What type of job can I get with a masters in computer science?

A computer science graduate with a master's degree can pursue roles such as software engineer, data scientist, systems analyst, cybersecurity analyst, or machine learning engineer. These positions often require strong programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or cloud platforms.
What job categories do people searching Computer Science Grad jobs in Pleasanton, CA look for? The top searched job categories for Computer Science Grad jobs in Pleasanton, CA are:
What cities near Pleasanton, CA are hiring for Computer Science Grad jobs? Cities near Pleasanton, CA with the most Computer Science Grad job openings:
Computer Science Grad jobs near you
Visiting Researcher, FAIR (University Grad)

Visiting Researcher, FAIR (University Grad)

Meta

Menlo Park, CA • On-site, Remote

Full-time

Posted 13 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies

Job description

Meta is seeking a highly specialized, research-driven expert to define the future of our Computer Use Agent (CUA) data creation. Moving fast to train the next generation of AI and product experiences requires foundational data that is precise, statistically sound, and unbiased.In this role, you won't just analyze data, you will architect the scientific frameworks, task-creation methodologies, and quality standards that govern it. You will sit upstream of production, conducting primary and empirical research to establish the definitive "gold standard" protocols that engineering and product teams rely on. If you are passionate about data governance as a research discipline and want to impact the experience of billions of people, join us.
Visiting Researcher, FAIR (University Grad) Responsibilities:
  • Establish Foundational Standards: Lead primary and secondary research to design, build, and implement rigorous, scalable CUA data quality standards and validation frameworks with Meta Superintelligence Labs.
  • Develop Task Methodologies: Architect scientifically sound task creation methodologies and annotation guidelines to ensure downstream datasets are highly accurate, reproducible, and representative.
  • Mitigate Data Risk: Conduct deep dive data integrity research to identify systemic biases or quality gaps, proactively mitigating "garbage in, garbage out" risks for AI model training.
  • Cross Functional Leadership: Partner closely with data science, software engineering, and operational teams to translate complex research methodologies into clear, executable data pipelines.
  • Define Metrics & Baselines: Establish statistical baselines and key quality metrics to evaluate, audit, and continuously improve CUA data health across the product lifecycle.

Minimum Qualifications:
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Currently has, or is in the process of obtaining a Master’s or PhD degree in a quantitative or research-heavy field (e.g., Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience)
  • Demonstrated experience conducting empirical research, data curation & validation, or designing complex data collection/annotation methodologies
  • Deep expertise in establishing data quality control frameworks, statistical sampling, and data governance
  • Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications:
  • PhD in a highly quantitative or empirical research field (e.g., Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience)
  • Experience designing and scaling data quality frameworks or human-in-the-loop (HITL) annotation methodologies specifically for training Machine Learning, NLP, LLM foundation models
  • Familiarity with user behavior log data, or defining complex interaction taxonomies
  • Experience solving complex problems and evaluating alternative solutions, tradeoffs, and perspectives to determine a path forward
  • Proven track record of building data governance metrics and quality baselines from scratch in an ambiguous, fast-paced environment
  • Experience translating complex, abstract research methodologies into clear, executable operational pipelines for cross-functional engineering and product partners

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$58.65/hour to $143,000/year + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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