Technology & Engineering Full-time

Algorithms Software Engineer

Hayden AI

Posted

Jul 10, 2026

Location

Remote (US)

Type

Full-time

Compensation

$161637 - $175000

Mission

What you will drive

  • Contribute across all stages of Hayden’s Computer Vision and Machine Learning 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.
  • Design, implement, and deploy cloud-based software pipelines for monitoring algorithm and device health across staging and production environments.
  • Build and maintain cloud services to support deployment of post-processing AI algorithms and internal tooling for algorithm development and performance analysis.

Impact

The difference you'll make

This role directly contributes to transforming transit systems and government agencies through computer vision, accelerating transit, enhancing street safety, and driving toward a sustainable future.

Profile

What makes you a great fit

  • Master of Science or Engineering degree in Electrical Engineering, Computer Science, Information Engineering or related technical field.
  • Two years of experience in the position offered, Software Engineer, Algorithms, Software Engineer Intern, or related software engineer role.
  • Two years of work experience with computer vision, machine learning, image processing algorithms; Python; data analysis tools (OpenCV, NumPy, SciPy, Pandas); developing industrial-grade software with focus on backend or full-stack systems; and software engineering principles (version control, testing, deployment).

Benefits

What's in it for you

Salary range: $161,637.00 to $175,000.00 per year. Telecommuting permitted.

About

Inside Hayden AI

Hayden AI harnesses computer vision to transform transit systems and government agencies, empowering clients to accelerate transit, enhance street safety, and drive toward a sustainable future.