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Masters In Computer Science Jobs in Burlingame, CA

Cogitativo

Senior Data Scientist

Berkeley, CA · On-site

PhD or Masters in a quantitative discipline: Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering * Working knowledge of health care systems and healthcare terminology

Cogitativo

Senior Data Scientist

Berkeley, CA · On-site

PhD or Masters in a quantitative discipline: Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering * Working knowledge of health care systems and healthcare terminology

Cogitativo

Senior Data Scientist

Berkeley, CA · On-site

PhD or Masters in a quantitative discipline: Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering * Working knowledge of health care systems and healthcare terminology

David AI

Research Scientist

San Francisco, CA · On-site

$210K - $360K/yr

PhD or Masters in Computer Science or a related field. * Experience training large neural network models in academic or industry settings. * Expertise in audio signal processing both classical and ...

SynergisticIT

Junior Backend Developer

San Francisco, CA · On-site

Preferred skills for Java/full stack/devops positions include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT knowledge ...

Poshmark

Sr. Engineer, Machine Learning

Redwood City, CA · On-site

$127K - $175K/yr

Bachelors or Masters in Computer Science, Statistics, or related field * Strong CS fundamentals. Should be able to write algorithms with ease. * Solid understanding of Data Science and ML ...

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Masters In Computer Science information

What is a master's in computer science?

A Masters in Computer Science is a graduate-level degree program that provides advanced knowledge and skills in computer science. It typically covers topics such as algorithms, programming, data structures, artificial intelligence, machine learning, and software engineering. The program is designed for individuals who want to deepen their understanding of computer science, advance their careers, or prepare for doctoral studies. Most programs require students to complete coursework, projects, and sometimes a thesis or capstone project. Graduates are prepared for roles in software development, data science, research, and other technology-focused careers.

What types of roles and industries commonly hire professionals with a master's in computer science?

Professionals with a Master's in Computer Science are highly sought after in a variety of industries, including technology, finance, healthcare, government, and academia. Common roles include software engineer, data scientist, machine learning engineer, systems architect, and IT project manager. Many organizations value the advanced technical knowledge and research skills gained during the program, which can also open doors to leadership or specialized research positions. Additionally, the collaborative nature of most computer science projects means you can expect to work in cross-functional teams with engineers, analysts, and business stakeholders.

What are the key skills and qualifications needed to thrive as a computer scientist with a master's degree, and why are they important?

To thrive as a Computer Scientist with a Master’s degree, you need advanced knowledge in algorithms, programming, and software development, usually demonstrated through a relevant graduate degree. Familiarity with programming languages such as Python, Java, or C++, and proficiency in tools like Git, databases, and cloud platforms are typically required. Strong analytical thinking, problem-solving abilities, and effective teamwork set candidates apart in this role. These skills ensure that professionals can design innovative solutions, collaborate efficiently, and adapt to evolving technological challenges.

Is a master's in computer science worth doing?

A master's in computer science can enhance technical skills, improve job prospects, and qualify individuals for advanced roles such as software engineer, data scientist, or systems analyst. It often leads to higher salaries and increased opportunities in fields like artificial intelligence, cybersecurity, and software development, especially when combined with practical experience and certifications. However, the value depends on career goals, industry demand, and the program's quality.

Is it easier to get a computer science job with a master's in computer science?

A master's in computer science can improve job prospects for computer science roles by providing advanced technical skills, specialized knowledge, and often a competitive edge over candidates with only a bachelor's degree. However, securing a job also depends on factors like experience, certifications, and the current job market. While a master's degree can open doors to more senior or specialized positions, it does not guarantee easier employment compared to candidates with less education.

What can a master's in computer science get you?

A master's in computer science can qualify you for advanced roles such as software engineer, data scientist, or systems analyst. It often provides specialized knowledge in areas like algorithms, machine learning, and software development, increasing job opportunities and earning potential in the tech industry.

What jobs can a masters in computer science get you?

A master's in computer science can lead to roles such as software engineer, data scientist, systems analyst, cybersecurity analyst, and machine learning engineer. These positions typically require strong programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or cloud platforms.

What cities near Burlingame, CA are hiring for Masters In Computer Science jobs?

Cities near Burlingame, CA with the most Masters In Computer Science job openings:

Masters In Computer Science jobs near you
Infographic showing various Masters In Computer Science job openings in Burlingame, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution.

Research Scientist, RL for Autonomous Planning & World Modeling

Mountain View, CA • On-site

Waymo
Internet and IT • 1 - 5K employees
Learn more about Waymoexternal

$204K - $259K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driverâ„¢-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.
In this hybrid role, you will report to a Principal Scientist.
You will:
  • Participate in Waymo's Foundation World Model post-training and evaluation
  • Research and develop cutting edge RL and Distillation techniques for Autonomous Vehicle Trajectory Planning
  • Integrate emerging research from the broader AI community into Waymo's internal RL infrastructure, conducting rigorous ablations to identify and scale the most promising methods
  • Partner with engineering and research teams across Waymo to share recipes, techniques, and post-training best practices to accelerate our collective know-how

You have:
  • PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field; with 3+ years of industry or post-doc research experience in Reinforcement Learning or Foundation Models
  • Demonstration of original contributions to the field through high-impact publications (ArXiv, peer-reviewed conferences like NeurIPS/ICLR/CVPR), technical blog posts, or significant open-source contributions
  • Proficiency in implementing model training flows in a scalable, distributed and performant manner such as Data parallel, FSDP and other sharding approaches
  • A willingness to work with complexity of globally distributed inference infrastructure

We prefer:
  • PhD in Computer Science, Machine Learning, or Robotics, with a research focus on Reinforcement Learning, Foundation Models, or Multi-Modal learning
  • Extensive experience designing and deploying Reinforcement Learning infrastructure, specifically for on-policy learning or alignment with human preferences
  • A consistent history of original contributions to the AI community, evidenced by first-author publications at top-tier venues (e.g., NeurIPS, ICLR, ICRA) or maintaining significant open-source ML projects
  • Experience with large scale (many-machine) training infrastructure and techniques for inference with large models such as model sharding/tensor-parallel

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$204,000-$259,000 USD

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