> Markdown version of [/jobs/ext/2864115-machine-learning-r-d-engineer](https://www.wearedevelopers.com/jobs/ext/2864115-machine-learning-r-d-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # machine learning R&D engineer - **Company:** QUAIL COMPUTER SYSTEMS, INC. - **Location:** San Diego, CA, United States (Remote available) - **Experience:** Experienced - **Salary:** $129,500.0 - $194,300.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Engineering, Computer Vision, C++ (Programming Language), Software Quality, Computer Engineering, Cursor (Graphical User Interface Elements), Python (Programming Language), Machine Learning, OpenCV, Productivity Software, Tensorflow, Software Deployment, Software Engineering, Product Software Implementation Methods, Video Editing, Pytorch, Deep Learning, Information Technology, ONNX (Open Neural Network Exchange) Format, Software Coding, GPT - **Published:** September 12, 2026 - **Apply:** https://www.dice.com/job-detail/321ce98f-42c5-4a09-97e1-4f85b3a76e45 ## About the Role Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer or Electrical Engineering, Computer Science, or related field and 1+ year of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR PhD in Computer or Electrical Engineering, Computer Science, or related field. Preferred Qualifications * Strong background in computer vision and video processing algorithms. 3+ years of experience developing and implementing computer vision and video algorithms within system-level products. * Hands-on experience with modern deep learning architectures. * Strong coding skills in Python (C/C++ is a plus) for production-quality development, optimization, and on-device deployment, with experience using ML/CV frameworks such as PyTorch, TensorFlow, ONNX, and OpenCV. * Comfortable using the latest AI coding assistants and productivity tools to aid development and perform critical analysis (Claude Code, Cursor, ChatGPT, etc.). Understands the tradeoffs of using AI and values code quality. * Strong ability to work across algorithm, software, and hardware boundaries. * Experience deploying AI algorithms on the edge (ExecuTorch, Jetpack, QNN, etc.) and understanding of associated tradeoffs and resource limitations (power, memory bandwidth, etc.) * 3+ years of experience working in a large, matrixed organization. * Publication, patent, or external technical contribution experience is a plus. Level of Responsibility * Self starter, works independently with minimal supervision. * Decision-making impacts work beyond the immediate work group. * Requires strong verbal and written communication skills. Comfortable in a research and development environment, proposing and defending new ideas, and presenting results to internal groups. * Owns the development and release process for a major algorithm feature, working with stakeholders to ensure requirements are met. * Tasks require multi-step planning, prioritization, and problem-solving, with flexibility in execution order to achieve objectives efficiently. ## Description We are seeking a machine learning R&D engineer to help drive the future of AI-accelerated computer vision on the edge. You will be part of a multidisciplinary team responsible for developing new algorithms adapted and optimized for heterogenous, resource constrained SoC platforms serving mobile, automotive, XR, IOT, and robotics customers. This role is ideal for someone who thrives at the intersection of cutting-edge computer vision algorithms, AI models, and efficient hardware/software implementation applied to real-world problems. You will have the opportunity to propose new IP, contribute to industry conferences, influence system-level architecture, and be part of a world-class team that drives solutions from research through production deployment. Principal Duties and Responsibilities * Leverage advanced video and computer vision engineering expertise to research, design, and implement critical video processing and computer vision algorithms, including depth estimation, sparse and dense optical flow, video super-resolution and denoising, 3D reconstruction, visual odometry and SLAM. * Develop optimized model architectures and training strategies for deployment of deep learning at the edge, incorporating the latest advances from literature such as transformers, attention, VLA/VLM, and world models. * Profile and optimize algorithm and model performance across memory, compute, power, and bandwidth constraints on mobile and embedded platforms. * Collaborate closely with cross-functional teams (hardware, software, systems, and product) to ensure new algorithms meet customer requirements. Develop meaningful supervised and non-reference quality metrics to assess model performance for different use cases. * Own the training and development of new release models for important customer segments. * Write clear and concise technical documentation, design specifications, and feature descriptions to guide internal teams and external partners. * Contribute effectively in a fast-paced, highly collaborative environment with globally distributed, cross-functional teams., Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). ## Related Videos - [AI Vector Search at Scale - Ewa Szyszka - Ewa Szyszka](https://www.wearedevelopers.com/videos/2161-ai-vector-search-at-scale-ewa-szyszka-ewa-szyszka) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Deepfakes in Realtime - How Neural Networks Are Changing Our World](https://www.wearedevelopers.com/videos/180-deepfakes-in-realtime-how-neural-networks-are-changing-our-world) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [Unboxing the DeepFace](https://www.wearedevelopers.com/videos/335-unboxing-the-deepface) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)