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Professor Of Computer Science Jobs in Washington

Umd

Professor & Director

College Park, MD · On-site

$58K - $254K/yr

Tenured associate professors may apply if they are expected to be a full professor by July 1, 2026 ... Department CMNS-College of Computer, Math & Natural Sciences Worker Sub-Type Faculty Regular Salary ...

Prescient Edge

Senior Computer Scientist

Bethesda, MD · On-site

$130K - $190K/yr

Computer software engineers apply the principles and techniques of computer science, engineering, and mathematical analysis to the design, development, testing, and evaluation of the software and ...

Prescient Edge

Senior Computer Scientist

Bethesda, MD · On-site

$130K - $190K/yr

Computer software engineers apply the principles and techniques of computer science, engineering, and mathematical analysis to the design, development, testing, and evaluation of the software and ...

Rackner

Computer Science Internship

College Park, MD · On-site

$19 - $25/hr

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... Our customers hail from a diverse, ever-growing list of industries. We work with small startups ...

Rackner

Computer Science Internship

College Park, MD

$19 - $25/hr

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... Our customers hail from a diverse, ever-growing list of industries. We work with small startups ...

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All JobsProfessor Of Computer Science JobsProfessor Of Computer Science Jobs in Washington

Professor Of Computer Science information

See Washington salary details

$12.5K

$143.4K

$193.7K

How much do professor of computer science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for professor of computer science in Washington is $143,400.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $173,300.00 per year, depending on experience, location, and employer.

What is the difference between Professor Of Computer Science vs Computer Science Lecturer?

AspectProfessor Of Computer ScienceComputer Science Lecturer
Required CredentialsDoctorate (Ph.D.) in Computer Science or related fieldMaster's or Doctorate often preferred
Work EnvironmentUniversities, research institutionsUniversities, colleges, sometimes online platforms
Employer & Industry UsageHigher education institutions, research-focusedHigher education institutions, teaching-focused
Common Search & ComparisonOften compared for academic roles, research, and teaching dutiesCompared for teaching responsibilities and academic level

The main difference between a Professor Of Computer Science and a Computer Science Lecturer lies in their academic rank, responsibilities, and credentials. Professors typically hold a Ph.D., engage in research, and have a senior academic role, while lecturers focus more on teaching and may have a master's or doctorate. Both work in higher education, but professors often have additional research duties and higher prestige.

How does a professor of computer science typically balance research, teaching, and service responsibilities?

Professors of Computer Science often divide their time among conducting research, teaching undergraduate and graduate courses, and fulfilling service obligations such as committee work or mentoring. Balancing these responsibilities can be challenging, especially during peak periods like grant application deadlines or exam seasons. Effective time management and clear communication with colleagues are essential for handling overlapping commitments. Many institutions provide some flexibility in workload distribution, allowing professors to focus more on research or teaching depending on their interests and departmental needs.

What does a professor of computer science do?

A Professor of Computer Science teaches undergraduate and graduate courses in computer science, conducts research in specialized areas such as artificial intelligence or software engineering, and mentors students. They also publish scholarly articles, contribute to curriculum development, and may participate in professional conferences. Additionally, professors often secure research funding and collaborate with industry or academic partners to advance the field.

What are the key skills and qualifications needed to thrive as a professor of computer science, and why are they important?

To thrive as a Professor of Computer Science, you need advanced knowledge in computer science, a doctoral degree in the field, and a strong track record of research and teaching. Familiarity with programming languages, research tools, learning management systems, and peer-reviewed publication standards is typically required. Outstanding communication, mentorship abilities, and adaptability help foster student engagement and collaborative research environments. These skills ensure effective knowledge transfer, research innovation, and academic leadership within the department and wider academic community.
What are the most commonly searched types of Professor Of Computer Science jobs in Washington? The most popular types of Professor Of Computer Science jobs in Washington are:
What are popular job titles related to Professor Of Computer Science jobs in Washington? For Professor Of Computer Science jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Professor Of Computer Science jobs in Washington look for? The top searched job categories for Professor Of Computer Science jobs in Washington are:
What cities in Washington are hiring for Professor Of Computer Science jobs? Cities in Washington with the most Professor Of Computer Science job openings:
Professor Of Computer Science jobs near you
Infographic showing various Professor Of Computer Science job openings in Washington as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $143,400 per year, or $68.9 per hour.

Cleared Computer Vision Scientist

Accenture Federal Services

Washington, DC • On-site

Full-time

Re-posted 3 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

44th of 483 rated business services

Job description

The work: 

  • Develop, train, finetune and evaluate computer vision models in a wide range of topics, including geospatial, biometrics, 3D vision, semantic extraction, etc. 
  • Deploy, maintain, and optimize ML models and data processes in a production environment 
  • Develop custom Computer Vision (CV) algorithms that translate into mission value 
  • Create tools to provide feedback from production ML models and data processes 
  • Assist in the development and optimization of computer vision models using deep learning frameworks (e.g., PyTorch, TensorFlow). 
  • Collaborate with other scientists and engineers to build and deploy models for tasks such as object detection, image segmentation, classification, and tracking
  • Stay up to date with the latest research and advancements in the field of computer vision and deep learning
  • Participate in data collection, preprocessing, and augmentation processes to ensure high-quality datasets
  • Conduct experiments, analyze results, and contribute to the improvement of model accuracy and efficiency
  • Assist in the integration of computer vision algorithms into production systems and applications 
  • Document code, methodologies, and experimental results

Here's what you need: 

  • Hands-on experience with computer vision libraries (e.g., OpenCV) and deep learning frameworks (e.g., PyTorch, TensorFlow)
  • Proficiency with programming languages such as Python, C/C++ or Rust 
  • Strong understanding of CNNs, transformers and other advanced architectures and their applications in computer vision tasks
  • Strong analytical and problem-solving skills
  • Ability to work collaboratively in a team environment and take direction from senior team members
  • Hands-on experience with developing computer vision models at scale from inception to business impact 
  • Design and develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches 
  • U.S. Citizenship (No Dual citizenship)

Bonus points if you have: 

  • Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required
  • Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC
  • Hands-on experience developing and deploying machine learning pipelines in AWS, Azure or GCP
  • Hands on experience deploying, maintaining, testing, and optimizing ML models and data platforms in a production environment
  • Hands-on experience with other image modalities (SAR, IR, HSI, Lidar, Sonar) 

Security Clearance: 

  • Active Top Secret or TS/SCI or TS/SCI with polygraph Clearance

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