--- title: 'Machine Learning Engineer - Computer Vision at CaseGuard' canonical: 'https://feeny.ai/job/machine-learning-engineer-computer-vision-caseguard-arlington-65sgcx4hm18h' type: 'job' last_seen: '2026-09-08' --- # Machine Learning Engineer - Computer Vision at CaseGuard - **Company:** CaseGuard - **Location:** Arlington, VA - **Posted:** 2026-02-13 - **Last confirmed live:** 2026-09-08 - **Apply:** https://job-boards.greenhouse.io/caseguard/jobs/5120675008 ## Job description We are seeking a highly skilled and motivated Machine Learning Engineer specializing in Computer Vision to join our team. The ideal candidate will have a strong background in developing and deploying machine learning models focused on image and video processing. You will work closely with cross-functional teams to design, implement, and optimize vision-based AI solutions to address real-world challenges. Key Responsibilities: - Design, develop, and deploy computer vision models for tasks such as object detection, object tracking, video segmentation, and facial recognition. - Optimize and fine-tune deep learning algorithms for real-time performance. - Work closely with the software engineers and product teams to identify opportunities for leveraging data. - Collect, clean, and preprocess large datasets to prepare for model training and evaluation. - Evaluate and optimize machine learning models for accuracy, performance, and scalability. - Deploy models into production environments and monitor their performance to ensure reliability. - Stay up-to-date with the latest advancements in computer vision and artificial intelligence. - Collaborate with cross-functional teams to integrate machine learning solutions into business processes. - Document processes, models, and implementations to ensure reproducibility and scalability. Required Qualifications: - Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. - Experience in deep learning models, their training, and hyperparameter tuning using libraries such as TensorFlow, PyTorch, and Transformers or other Huggingface tools. - Experience with data manipulation tools such as Pandas, NumPy, and SQL. - Strong programming skills in Python and C++. - Experience in MLOps principles and model deployment and instrumentation on cloud platforms such as AWS, Azure, or Google Cloud for model deployment and knowledge with efficient serving tools such as ONNX, triton, and vllm. - Proficiency in working with image and video data, including preprocessing and augmentation techniques. - Strong understanding of machine learning algorithms, including supervised and unsupervised learning and deep learning. - Strong communication skills and the ability to work collaboratively in a team environment. Great to have: - Familiarity with containerization and orchestration tools like Docker and Kubernetes. - Experience with version control systems such as Git. - Understanding software engineering best practices, including code review, testing, and documentation. - Experience with Large Language Models (LLMs) is a great plus. - Experience with data annotation tools and processes. Benefits: - Competitive Salary - Stock Option - Medical, Dental, and Vision Insurance - 401K - Paid Vacation - Ten paid holidays per year - Friendly and Learning environment ## About CaseGuard CaseGuard is a software company that helps law enforcement agencies, federal agencies, hospitals, schools, airports, and others manage all their media redaction needs in one easy-to-use redaction software. CaseGuard Studio is one of a kind. Our team is driven by a passion for great software design, creating great products, and creative processes; CaseGuard implements innovative ideas across multiple services and agencies. We invest in people. We nurture skills consistent with our values and our future strategy. Our passionate pursuit of excellence, the application of our creativity to solve our clients’ challenges, our technical expertise, and our collaborative spirit are measures of our success. ## About CaseGuard ## Company Overview - **One-liner**: CaseGuard provides AI-powered redaction, transcription, and investigation software that automates the masking of sensitive information across video, audio, images, and documents for law enforcement, government, legal, and regulated industries. - **Entity Type**: Private - **Headquarters**: Arlington, Virginia, United States - **Founded**: 2014 - **Founders**: Sean Abas (CEO, Co-Founder) ## Core Business - **Primary industry/industries**: Data Security Software, AI Redaction, Digital Investigation - **Target customers**: B2B, primarily serving law enforcement agencies, federal agencies, legal departments, hospitals, schools, airports, financial services, casinos, media & entertainment, call centers, and crisis centers. - **Mission or purpose statement**: "Eliminate the need to draw a redaction effect frame by frame" by providing the most accurate, secure, and reliable redaction, transcription, and investigation tool. The company is focused on transforming data privacy through technology that creates real impact. ## Products & Services - **AI Redact**: The core product—a platform that uses AI to automatically detect and redact PII, PHI, and PCI in video, audio, images, and documents. Supports body-worn cameras, CCTV, dash cams, PDFs, emails, and crime scene photos. Claims to automate up to 95% of redaction work. - **AI Transcribe & AI Translate**: Converts hours of audio to text instantly with AI transcription, automatically identifies speakers, detects sensitive data, and enables translation into 100+ languages. - **AI Investigate**: A suite of 30+ redaction and enhancement tools for investigators, including photo/video enhancement, tattoo detection, and audio transcription. - **Collaborative Workspace**: A platform for teams of 5 to 100+ to redact, collaborate, share status updates, and maintain audit trails for compliance workflows. ## Market Standing - **Valuation/Market Cap**: Not publicly available (private company) - **Key Metric**: Annual Revenue of **$3.8M** (estimated, per LinkedIn data). Total funding is not publicly disclosed. - **Notable Investors/Partners**: Not publicly listed. The company is privately held (FinalCover LLC). - **Growth Signals**: - **Headcount**: 39 employees (+13.6% YoY, +6 people). - **LinkedIn Followers**: 6,182 (+17.2% yearly growth). - **Active Job Postings**: 12 open roles. - **Traffic**: Monthly website visits of 28,102 (+16.9% monthly, +5.3% yearly). - **Tenure**: Founded in 2014, with over 12 years of experience in the redaction space. ## Competitive Advantages - **On-Premise & Air-Gapped Deployment**: The software runs locally on customer machines, including air-gapped networks without internet, keeping all data fully under the customer's control—a critical differentiator for government and law enforcement clients. - **Compliance-Ready**: Redactions are permanent, metadata is scrubbed, and the platform is compliant with HIPAA, FOIA, CJIS, and GDPR. - **Unlimited Redactions**: All plans include unlimited redactions and file uploads, replacing tedious manual processes. - **Speed**: Claims to redact files 98% faster than manual methods and blur faces/license plates 80% faster from body-worn cameras. - **Multi-Format Support**: One platform handles video, audio, images, and documents, reducing the need for multiple tools. ## Strategic Focus - **Expanding Engineering Talent**: Actively hiring for key technical roles (ML Engineer - Computer Vision, Senior Backend, Senior Frontend, Full Stack, DevOps) in Arlington, VA, signaling a focus on product development and AI model refinement. - **Deepening Government & Regulated Industry Penetration**: Continued focus on serving law enforcement, federal agencies, healthcare, and legal sectors where security and compliance are paramount. - **AI Innovation**: Emphasis on computer vision, object detection, facial recognition, and Large Language Models (LLMs) to improve automation and accuracy. ## Why Work Here - **Culture**: The company describes a culture of "growth & collaboration," built on "trust, support, and teamwork." They emphasize empowering employees and creating an environment where everyone can grow. - **Mission-Driven Work**: Employees work on technology that directly impacts data privacy and public safety for law enforcement and government agencies. - **Benefits**: Competitive salary, stock options, medical/dental/vision insurance, 401K, paid vacation, and ten paid holidays per year. Also offers gym memberships. - **Work Environment**: Hybrid/Office-based in Arlington, VA. Some roles (like Regional Sales Executive) are listed as remote. The engineering team works on a modern tech stack including Angular, Kubernetes, AWS Lambda, TensorFlow, GitLab, and Python. - **Team Size & Growth**: With only 39 employees, new hires can have significant impact and ownership. The company is in a growth phase (13.6% headcount YoY increase). - **Office Location**: HQ is at 1700 N Moore St, Suite 1701, Arlington, VA 22209, in the Rosslyn area near Washington D.C. ## Sources 1. [CaseGuard Website](https://caseguard.com/) 2. [CaseGuard Careers Page (Greenhouse)](https://job-boards.greenhouse.io/caseguard) 3. [CaseGuard LinkedIn Profile](https://www.linkedin.com/company/caseguardllc) 4. 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