We are seeking a Computer Vision Engineer with strong software and AI fundamentals to build and deploy high-performance AI models. You will handle the full pipeline—from training detection and segmentation models to optimizing them for production using NVIDIA TensorRT and Docker. Core Responsibilities - Model Training: Train and fine-tune models for Detection, Classification, and Segmentation (e.g., YOLO, ResNet, U-Net). - Tracking: Implement Multi-Object Tracking (MOT) algorithms for complex video streams. - Engineering: Write production-grade Python code with a focus on modularity and scalability. - Deployment: Containerize applications using Docker for consistent deployment.

Southern New Hampshire University is a team of innovators. World changers. Individuals who believe in progress with purpose. Since 1932, our people-centered strategy has defined us — and helped us grow a team that now serves over 180,000 learners worldwide. Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're ready to expand our reach. All we need is you. Make an impact — from near or far We currently have remote adjunct opportunities available in all US States, with the exception of California. The opportunity Southern New Hampshire University is looking for online adjunct faculty within our Undergraduate Computer Science program for Global Campus. You will engage students in an asynchronous and inclusive learning environment by providing guidance and resources in a pre-developed online course. You will support students by providing instruction, feedback, and experiential and application-based learning that helps our students achieve their learning and career goals. You will report to the faculty dean team. This is a remote position. What you'll do: - Prioritize Student Engagement – Work with students by responding within set timeframes and reaching out proactively to students needing additional support. Recognize student needs holistically and connect them with resources. Encourage participation, collaboration, and strong faculty-student relationships to enhance learning and build skills. - Share Expertise and Resources – Stay current in your field of expertise, share your experience, and recommend relevant supplementary materials to enhance student understanding of course content. Find accessible ways to explain complex topics. - Offer Feedback & Assessment – Evaluate student work and provide individualized, constructive feedback within set timeframes to promote growth and mastery of course outcomes. - Facilitate Discussions – Encourage student interaction through active participation in online discussions while fostering an inclusive, engaging, and respectful environment that promotes open dialogue and diverse perspectives. Courses: - CS-305: Software Security - CS-255: Systems Analysis and Design - CS-300: Algorithms and Data Structures - CS-465: Full Stack I What we're looking for: - Master's degree in Computer Science, Information Technology, or a related field - 3 to 5 years of professional experience in computer science, software engineering, software development, Full Stack Development - Experience with Java, Eclipse with GIT/GITHub - Experience with Business Modeling, Systems Analysis, UML - Experience with C++ and Eclipse or Visual Studio - Experience with MEAN stack, Javascript, HTML, CSS, MongoDB, Restful API, JSON, SQL We believe real innovation comes from inclusion - where different experiences, perspectives and talents are celebrated. So if you're wondering whether SNHU is right for you, take the leap and apply. You might be just the person we're looking for. Compensation The standard compensation for courses is $2,200 per 8-week undergraduate course and $2,500 per 10-week graduate course. Actual pay is determined at the time of course assignment based on discipline. Exceptional benefits (because you’re exceptional) You’re the whole package. Your benefits should be, too. As an employee at SNHU, you'll get: - Employer-funded retirement - Free tuition program - Professional development opportunities

• Develop and implement models to estimate; Player height Distance from camera (depth) • Utilize camera parameters such as focal length, field of view (FOV), and intrinsic/extrinsic properties; • Work with 2D pose/keypoint data to infer 3D spatial information; • Apply and refine: Pinhole camera models Perspective and projection geometry • Analyze and correct: Camera angle effects Perspective distortion Lens distortion (when applicable) • Translate real-world camera setups into accurate mathematical representations; • Improve scale consistency across different devices and recording conditions; • Identify opportunities where physics-based approaches can complement or replace machine learning models; • Collaborate closely with Computer Vision engineers to integrate solutions into production pipelines.

• Paid ad creatives for Meta, TikTok, YouTube (volume production) • Social content across all platforms for multiple brands • Video ads: testimonials, VSLs, product demos, brand videos • AI-generated content at scale: spokesperson videos, b-roll, voiceovers • Design assets: banners, landing pages, email graphics