Algorithms Software Engineer

Hayden AI • San Francisco, CA

2d • $161,637 - $175,000 • Remote

About The Position

At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges. From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.

Requirements

• Master of Science or Engineering degree or the foreign equivalent in Electrical Engineering, Computer Science, Information Engineering or a related technical field of study.
• Two (2) of experience in the position offered, Software Engineer, Algorithms, Software Engineer Intern, or as or a related software engineer role.
• Two (2) years of work experience with all of the following: algorithms related to computer vision, machine learning, and image processing; Python; data analysis tools including: OpenCV, NumPy, SciPy, and Pandas; developing industrial-grade software and writing production-quality code, with a focus on backend or full-stack systems; and software engineering principles, including version control, testing, and deployment best practices.

Responsibilities

• Exhibit proficiency in software development, consistently delivering clean, efficient, and maintainable code.
• Contribute across all stages of Hayden’s Computer Vision (CV) and Machine Learning (ML) algorithm pipelines—from initial prototyping to production refinement—ensuring robustness, efficiency, and accuracy.
• Lead and execute comprehensive software testing efforts focused on CV/ML algorithms, spanning prototype validation, performance assessment, integration, and deployment readiness.
• Perform thorough root cause analysis on algorithm- related failures, identify trends in field behavior, and provide strategic recommendations to guide design and process improvements.
• Design, implement, and deploy cloud-based software pipelines for monitoring algorithm and device health across staging and production environments.
• Proactively identify systemic issues and drive resolution.
• Build and maintain cloud services to support the deployment of post-processing AI algorithms that enhance overall system accuracy, as well as internal tooling to aid algorithm development and performance analysis.
• Collaborate closely with device software, cloud, and algorithm teams to prototype and implement software changes that improve algorithm performance based on production data insights.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level