Cleared Computer Vision Scientist
Accenture Federal Services
$108,400 - $203,400 / year
Need a reasonable accommodation to apply or interview? Contact us.
JobMinglr uses automated technology to recommend jobs based on profile information and job preferences. Match Score does not determine eligibility for a position, prevent a user from viewing or applying to a job, or make hiring decisions on behalf of an employer.
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
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
About this role
Accenture Federal Services is seeking a Computer Vision Scientist to develop and deploy machine learning models supporting U.S. federal government missions in defense, national security, and public safety. The role spans the full lifecycle of computer vision work—from building and training models across diverse applications like geospatial analysis, biometrics, and 3D vision, through production deployment and optimization. You'll work with established deep learning frameworks (PyTorch, TensorFlow) and custom algorithms, collaborate with other scientists and engineers on tasks including object detection and image segmentation, and contribute to improving model accuracy and real-world impact.
The position requires strong hands-on proficiency in Python, C/C++, or Rust; deep familiarity with CNNs, transformers, and computer vision libraries like OpenCV; and demonstrated experience building computer vision systems at scale from concept to deployment. An advanced STEM degree is preferred, and experience with MLOps tools, cloud platforms (AWS, Azure, GCP), and specialized image modalities (SAR, IR, Lidar) is a plus. Critically, you must be a U.S. citizen and hold or be able to obtain an active Top Secret or TS/SCI clearance, with polygraph capability preferred.
This is an in-office role in Washington, D.C., offering a salary range of $108,400 to $203,400 depending on experience and qualifications. It suits candidates with solid computer vision and deep learning fundamentals who want to apply their skills to federal government priorities and are prepared for the clearance requirements and security context of the work.
How this employer is doing
average
- News: Growing or Expanding
This role's local market on JobMinglr
Pay for this role
$108,400 to $203,400 per year
That is the employer's posted range, and where you land in it is usually decided in one conversation. Before that conversation, run the numbers: analyze an offer for this role.
Before you apply, worth reading
How JobMinglr reads this job
Every listing here is scored against your profile before you apply: skills overlap, experience level, location and work arrangement, each weighted and explained. You see the score and the reasons, not just a list. How the matching works.