Machine Learning Engineer

Join Street Simplified—Where Innovation Meets Safety At Street Simplified, we leverage advanced video analytics to help public sector agencies understand the causes of traffic crashes and empower them with tools to prevent incidents proactively. We're on a mission to save lives, and we need a passionate Machine Learning Engineer to help us achieve this goal. What You'll Do: Develop cutting-edge solutions that help eliminate traffic crashes and save lives. Enhance and expand our core codebase, adding new features and ensuring robust support. Design and implement production tests and deployment systems for real-world use. What We're Looking For: Experience working with large datasets (100+ GB). Strong background in managing extensive codebases with best practices: clean coding, thorough documentation, version control, and testing. Problem-solving skills in complex math and physics challenges. Proficiency in Python; experience with C/C++ is a plus. Hands-on experience with AWS for production-level processing. Expertise in one or more of the following areas: ----Data Science & Machine Learning ----Real-time edge computing (NVIDIA hardware preferred) ----Statistical analysis and optimization ----Neural network training ----Classical computer vision ----Signal processing and algorithm development What You Bring: Master's or PhD in Electrical Engineering, Computer Science, Physics, or a related field. (Compensation is competitive and based on experience and education.) Proven track record of tackling and solving complex technical problems across various domains. Exceptional programming skills with the ability to multitask efficiently. Strong communication skills in both spoken and written English. Why Join Us? Make a real impact by saving lives through your work. Work with a passionate, mission-driven team. Flexible, remote work environment aligning with US Pacific Time. Competitive compensation and growth opportunities. If you're ready to use your skills to make a difference and thrive in a dynamic environment, we'd love to hear from you! Apply now and help us create safer roads for everyone.