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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Applied Research and Development (R&D) Scientist/Engineer: Signal Processing and Machine Learning - **Company:** Aria, Limited Liability Company - **Location:** Seattle, WA, United States - **Salary:** $125,000.0 - $225,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Computer Simulation, Computer Programming, Python (Programming Language), Machine Learning, Software Tools, Signal Processing, Data Processing, Pytorch, Deep Learning, Gpu Programming, AI Platforms, Information Technology, Software Coding, K Means - **Published:** May 25, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=996b3d98f23a723a ## About the Role Do you have experience in Technical project management?, Do you have a Master of Science?, * U.S. Citizenship Required: Must be eligible for a government security investigation and access to sensitive information. (Green Card/Visa holders are not eligible). * Advanced Technical Degree: Must possess a M.S. or Ph.D. in Acoustics, Electrical Engineering, Computer Science, Physics, or a related field. * Practitioner Role: This is not a management position. You are expected to formulate the math and write the code that implements it. Technical Expertise * Domain Experience:l Experience in signal processing (radar/sonar, waveform design, beamforming), machine learning (deep learning, kernel machines, K-Means, KNN, etc.), and modern image processing methods. * Programming: Proficiency designing and developing code in modern languages such as Python. * GPU Programming: Competency with tools/frameworks such as PyTorch. Professionalism * Resilience: Ability to manage multiple projects in a fast-paced environment and maintain calm under technical pressure. * Communication: Superior ability to distill and communicate technical solutions to both colleagues and customers. * Continual Learning: Exceptional ability and desire to acquire new knowledge and skills to solve challenges. * Execution: A track record of taking a project from concept to delivery with minimal oversight, including examples of overcoming significant technical setbacks., * Doctorate (Preferred) License/Certification: * U.S. citizenship (Required) ## Description As an Applied R&D Scientist/Engineer, you will drive projects across the full lifecycle-from applied research through to the development of field-ready prototypes. Working closely with an interdisciplinary team, you will design, develop, and test algorithms in numerical simulation, scientific visualization, machine learning, and signal processing. Your work will power diverse products, from real-time physics-based training tools to AI-driven tactical systems. Core Responsibilities * End-to-End Ownership: Translate raw research concepts into field-ready software through cross-disciplinary collaboration and self-directed accountability. * Operational Awareness: Bridge the gap between scientific theory and user reality, prioritizing the customer's mission over personal technical preferences. * Algorithmic Resilience: Design and test "battle-hardened" algorithms capable of performing reliably in high-stakes, real-world military and intelligence environments. * Field Validation: Transition technology from the lab to operational platforms, troubleshooting in real-time under pressure and iterating until the system succeeds in the field. Sample Tasks * Design, develop, and help deploy cloud-deployed software tools for data-analysis and AI assurance that will be part of a new AI platform to be used across the Department of War (DoW). * Develop novel neural-network-based detection and classification methods and algorithms for sonar signal and information processing to be integrated into Navy combat systems. * Conduct research using deep learning and numerical scattering models to understand the relevant physical features in acoustic scattering data for use in a project on remediating underwater sites contaminated by unexploded ordnance. ## Related Videos - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [Logs in observability - Correlation](https://www.wearedevelopers.com/videos/1430-logs-in-observability-correlation) - [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) - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [From AI Assistance to Agentic Systems: Scaling Sovereign AI in Banking](https://www.wearedevelopers.com/videos/100070-from-ai-assistance-to-agentic-systems-scaling-sovereign-ai-in-banking) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## 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) - [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) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)