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Computer Science Google Jobs in Baltimore, MD (NOW HIRING)

... and Google Workspace platforms. The resource will work closely with senior cloud systems ... Bachelor's degree in Computer Science, Information Technology, or a related field. *No Visa ...

... Google, Paypal, Western Union, Visa, Walmart Labs etc. to name a few. We have an excellent ... Recent computer science/engineering/mathematics/statistics or science graduates looking to make ...

Google Professional ML Engineer, AWS Machine Learning Specialty, or NVIDIA Generative AI/LLM ... Master's Degree or PhD in Data Science, Artificial Intelligence, Computer Science, or Mathematics.

Data Scientist SME AI/ML

Odenton, MD · On-site

$154K - $278K/yr

Google Professional ML Engineer, AWS Machine Learning Specialty, or NVIDIA Generative AI/LLM ... Master's Degree or PhD in Data Science, Artificial Intelligence, Computer Science, or Mathematics.

Cloud Architect

Silver Spring, MD · Hybrid

$67.25 - $85.50/hr

Bachelor's degree in Computer Science, Engineering, or a related technical field. * 5+ years of ... Proven experience with at least one major cloud provider (e.g., AWS, Azure, Google Cloud, or Oracle ...

Cloud Architect

Silver Spring, MD · On-site

$67.25 - $85.50/hr

Bachelor's degree in Computer Science, Engineering, or a related technical field. * 5+ years of ... Proven experience with at least one major cloud provider (e.g., AWS, Azure, Google Cloud, or Oracle ...

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Computer Science Google information

See Baltimore, MD salary details

$33.3K

$48K

$63.1K

How much do computer science google jobs pay per year?

As of Jun 16, 2026, the average yearly pay for computer science google in Baltimore, MD is $47,991.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,800.00 and $55,100.00 per year, depending on experience, location, and employer.

What do computer scientists do at Google?

Computer scientists at Google develop algorithms, software, and systems to improve products and services, often working on areas like machine learning, data analysis, and infrastructure. They use programming languages such as Python, C++, or Java and collaborate across teams to solve complex technical problems. Their work typically involves research, coding, testing, and deploying scalable solutions in a fast-paced environment.

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.

What engineers make $500,000?

Senior software engineers, especially those in specialized fields like machine learning, AI, or cybersecurity, can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills, and working at large tech companies or startups with significant funding.

Can I make 200K with a computer science degree?

Computer science professionals can earn $200,000 or more annually, especially in high-demand roles such as software engineering, data science, or machine learning, often in tech hubs or with extensive experience and advanced skills. Achieving this salary typically requires several years of experience, specialized knowledge, and sometimes working in senior or managerial positions or at large tech companies.

Can I get a job at Google with a computer science degree?

A computer science degree is a common qualification for many roles at Google, including software engineering and technical positions. Candidates typically need strong programming skills, experience with algorithms, data structures, and familiarity with tools like Python, Java, or C++. Additional skills such as problem-solving, teamwork, and relevant internships can improve chances of employment.

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, and why are they important?

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 are popular job titles related to Computer Science Google jobs in Baltimore, MD? For Computer Science Google jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Computer Science Google jobs in Baltimore, MD look for? The top searched job categories for Computer Science Google jobs in Baltimore, MD are:
Al/ML Engineer Technical Lead - TS/SCI w Poly with Security Clearance

Al/ML Engineer Technical Lead - TS/SCI w Poly with Security Clearance

Peraton

Laurel, MD

$102K - $134K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Peraton rating

8.2

Company rating: 8.2 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

46th of 204 rated it services


Job description

About Peraton Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we're keeping people around the world safe and secure. About The Role Position Overview We are seeking a highly skilled AI/ML Engineer Technology Lead to design, development, and deployment of advanced Artificial Intelligence and Machine Learning solutions supporting mission-critical enterprise initiatives. This role serves as the technical lead for enterprise AI/ML efforts, responsible for building, growing, and guiding a team of AI/ML engineering and practitioners. This individual collaborates with customer technical leadership to define and realize their AI/ML roadmap and is expected to bring both deep technical expertise and the business acumen necessary to develop strategy, manage stakeholder relationships, and scale a high-performing team. The ideal candidate combines deep expertise in machine learning, software engineering, cloud-native technologies, and MLOps with strong leadership and customer engagement skills. This individual will help transform AI/ML prototypes into scalable, secure, production-ready enterprise solutions while mentoring technical teams and collaborating with customer leadership.
Key Responsibilities - AI/ML Technical Leadership
Technical Leadership & Strategy * Serve as the primary point of contact (POC) for all AI/ML-related technical matters with customers and stakeholders
* Lead the design, development, testing, deployment, and productization of AI/ML technologies supporting mission-critical objectives
* Develop and communicate AI/ML strategies and technical roadmaps aligned with customer and mission requirements
* Advise leadership on emerging AI/ML technologies, research areas, and industry advancements
* Represent AI/ML capabilities during customer engagements, briefings, demonstrations, and technical reviews
* Provide technical leadership, mentorship, and guidance to AI/ML engineering teams
* Support workforce planning, staffing strategy, hiring, and professional development initiativesAI/ML Engineering & Development * Design, develop, and optimize scalable machine learning and deep learning models for structured and unstructured data
* Transform research prototypes into secure, scalable, production-ready enterprise solutions
* Support NLP, predictive analytics, anomaly detection, computer vision, and generative AI initiatives
* Evaluate and productize AI/ML models across commercial and government cloud architectures
* Integrate AI/ML solutions across enterprise systems, data platforms, and operational environments
* Ensure AI/ML solutions meet performance, scalability, reliability, and operational requirementsCloud, MLOps & Enterprise Integration * Develop production-grade AI/ML pipelines, CI/CD workflows, and MLOps capabilities
* Provide system integration oversight across AI/ML pipelines and enterprise platforms
* Collaborate with software engineers, cloud architects, cybersecurity teams, and customer stakeholders
* Support deployment and optimization of AI/ML solutions across cloud-native and distributed environments
* Evaluate emerging technologies and align technical solutions with operational and enterprise objectives
#MDFSP #peratonroyalmove Qualifications Core Competencies * AI/ML Technical Leadership
* Cloud & Enterprise Architecture
* MLOps & Production AI Systems
* Team Building & Mentorship
* Strategic Problem Solving
* Mission-Focused Innovation
* Cross-Functional Collaboration
Required Qualifications * 17 years with a Bachelor's degree in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical field, or 10 years with a Master's Degree in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical field, or 7 years with a Ph.D in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical field
* Strong proficiency with Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras
* Experience with cloud platforms including AWS, Azure, or Google Cloud Platform
* Experience with MLOps, CI/CD pipelines, Docker, Kubernetes, and distributed systems
* Strong understanding of data pipelines, model lifecycle management, and scalable AI architectures
* Experience operating within Agile or DevSecOps environments
* Excellent communication and stakeholder engagement skills
* Active/current TS/SCI security clearance with a current polygraph is required.Preferred Qualifications * Experience supporting Intelligence Community (IC), DoD, or federal government programs
* Experience with Large Language Models (LLMs), Generative AI, RAG architectures, and vector databases
* Familiarity with AI governance, explainable AI (XAI), and responsible AI practices
* Experience with Spark, Kafka, Hadoop, or GPU-enabled distributed computing platforms
Details Target Salary Range: $229,000 - $366,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits. Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. EEO:Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017