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Senior Software Engineer, Events
Hayden AISan Francisco, CA🇺🇸United StatesPosted 16 Aug 2026
Why This Role Stands Out
This hybrid role offers an exciting opportunity to enhance ML operations and directly impact the efficiency of Hayden AI's innovative computer vision technology, empowering you to grow your systems thinking and architectural skills. You'll thrive here if you're passionate about code quality, cross-functional collaboration, and driving systemic improvements within a forward-thinking company. Apply today to contribute to a sustainable future in transit!
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
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.
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.
Nice to Have: Professional experience with government technology, ML Operations experience, Familiarity with AWS specific implementation of managed services
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
Skills
AWS
Machine Learning
Computer Vision
Go
Python
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