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Computer Science Google Jobs (NOW HIRING)

Intern, Computer Science Department: Computer Science Location: Western Campus Reports To: Dean ... Experience deploying mobile apps to the Apple and Google store for testing purposes. * Excellent ...

$48K - $62K/yr

The High School Computer Science Teacher is responsible for implementing the school's instructional ... Maintain Google Email system for grades 7 - 12. * Assist with the maintenance and update school ...

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Computer Science Google information

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How much do computer science google jobs pay per year?

As of Sep 7, 2026, the average yearly pay for computer science google in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

What is a computer science Google job?

A Computer Science job at Google typically involves developing, testing, and optimizing software, algorithms, or systems that power Google’s products and services. Roles may include Software Engineer, Machine Learning Engineer, Site Reliability Engineer, and more. Employees work on large-scale computing challenges, AI advancements, and performance improvements. Strong programming skills, problem-solving abilities, and experience with data structures and algorithms are crucial for these roles.

What are the key skills and qualifications needed to thrive in the computer science Google position?

To excel in a Computer Science role at Google, candidates typically need strong programming skills, a solid understanding of algorithms and data structures, and a degree in Computer Science or a related field. Familiarity with languages like Python, Java, or C++, and experience using version control systems, cloud platforms, and technical certifications such as Google Cloud Certification are often advantageous. Excellent problem-solving abilities, effective teamwork, and strong communication skills distinguish outstanding candidates in this role. These qualifications are essential to tackling complex technical challenges, collaborating across diverse teams, and driving innovation at a leading technology company.

What opportunities for career growth and development are available to computer science professionals at Google?

Computer science professionals at Google enjoy a wide range of career development opportunities, including technical and leadership tracks, mentorship programs, and internal mobility options. Google encourages continuous learning through free access to courses, workshops, and attendance at industry conferences. Team members can work on diverse projects, collaborate with experts in various fields, and often rotate between teams to broaden their experience. This dynamic environment supports both vertical advancement and the chance to develop broader technical expertise over time.

Does Google hire computer scientists?

Yes, Google hires computer scientists for roles in software engineering, research, and related fields. These positions often require strong programming skills, knowledge of algorithms, and experience with tools like Python, C++, or Java. Google offers a competitive environment with opportunities for innovation and growth in technology development.

Is a computer science degree required at Google?

A computer science degree is not strictly required for many roles at Google, as the company values skills, problem-solving ability, and practical experience. Candidates with strong coding skills, proficiency in relevant programming languages, and relevant projects can often qualify without a formal degree in computer science.
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What cities are hiring for Computer Science Google jobs?

Cities with the most Computer Science Google job openings:

What states have the most Computer Science Google jobs?

States with the most job openings for Computer Science Google jobs include:

Infographic showing various Computer Science Google job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, 33% Part Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $48,298 per year, or $23.2 per hour.

Senior Research Scientist, Beam

Google Inc.

Mountain View, CA • On-site

$174 - $252/hr

Other

Posted 17 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies


Job description

corporate_fare Google place Mountain View, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share Senior Research Scientist, Beam

  • PhD degree in Computer Science, a related field, or equivalent practical experience.
  • 2 years of experience in Python and deep learning frameworks (e.g., JAX, Flax, or Gemma).
  • Experience conducting research and development, including experimental design, implementation, and analysis.
  • One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).
Preferred qualifications:
  • Experience in developing multimodal AI models and systems.
  • Experience fine-tuning and post-training LLMs.
  • Experience with developing generative AI architectures, techniques, and agentic AI solutions.
  • Experience with multimodal learning, integrating information from different data types (e.g., vision, audio, text).
  • Proven expertise in working with, tuning, and prototyping vision-language models (VLMs) using modern strategies.
  • Strong interest in and awareness of the AI alignment, safety, responsibility, and landscape, with an excitement to collaborate across disciplines.
About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

  • Develop deep understanding of foundation model, language and multi-modal technologies and approach to applying them in the product’s context.
  • Prototype new (“zero-to-one”) features and capabilities, and partner with teammates to land them in production.
  • Improve product quality and cost optimization via novel approaches and generation of novel data sets.
  • Collaborate within the team and outside the team.
  • Influence product roadmap via quantitative and qualitative analysis.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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