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Salary
$175k – $228k per year
Location
Hybrid (San Francisco, United States)
Seniority
Senior · 7+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on May 19, 2026. Hayden AI scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Hayden AI is an American artificial intelligence technology company specializing in smart city solutions and automated traffic enforcement. Founded in 2019, the company utilizes mobile computer vision and edge processing systems—often mounted on public transit buses—to detect parking and traffic violations in real time. By automating enforcement in bus lanes and stop zones, it helps municipalities improve urban transit efficiency, enhance pedestrian safety, and reduce city traffic congestion.

About Us

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.

What the job involves

As a Senior Software Engineer on the Platform - Cloud Events team, you will ensure that data captured by Hayden’s devices is properly validated and assessed by the powerful ML models that run in the Cloud. In this role you will level up our ML operations by enabling a more efficient model improvement lifecycle. You will work closely with the Product Team, the Technical Program Managers, and our partner engineering teams that build the edge software and make sense of our sensor data. We’re looking for someone who loves leveling up their team through code review, improving architecture, and thinking systemically. This position is based in San Francisco and it follows a hybrid schedule with at least 3 days in-office per week.

Key Responsibilities

Below are your primary responsibilities. These represent the core areas where you’ll make an impact. As part of a rapidly evolving team, we look forward to your impact expanding over time.

  • Maintain a high level of code quality through code review and documentation

  • Optimize machine learning operations with robust systems and by collaborating across teams

  • Expand capabilities of event pipeline to satisfy both general and client specific needs

  • Reduce cost of doing business with by optimizing usage of cloud resources, especially GPUs

Required Qualifications

The qualifications below outline the experience and skills most relevant to success in this role. We recognize that skills and potential come in many forms, and we welcome diverse experiences that advance our mission.

  • Experience: 7+ years of overall experience, 2+ years building high throughput backend services

  • Core Skills: Professional experience with Golang and/or Python, distributed systems thinking, ML Ops knowledge a plus

  • Personal Attributes: Collaborative teammate and code reviewer, detail oriented system designer

  • Education: BS in Computer Science or related field

Nice to Have: Professional experience with government technology, ML Operations experience, Familiarity with AWS specific implementation of managed services

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