Hayden AI
computer vision
SeniorSoftwareEngineer,Events
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer, Events at Hayden AI. Skills: Golang, Python, distributed systems thinking, ML Ops. Ensure data captured by Hayden’s devices is properly validated and assessed by ML models. Level up ML operations by enabling a more efficient model improvement lifecycle”
What You'll Achieve.
Optimize machine learning operations; Expand capabilities of event pipeline; Reduce cost of doing business
Industry & Context.
thinking systemically
What They're Looking For.
Must Have
7+ years of overall experience, 2+ years building high throughput backend services, Professional experience with Golang and/or Python, distributed systems thinking, BS in Computer Science or related field
Nice to Have
government technology, ML Operations experience, Familiarity with AWS specific implementation of managed services
What You'll Do.
Ensure data captured by Hayden’s devices is properly validated and assessed by ML models
Level up ML operations by enabling a more efficient model improvement lifecycle
Expand capabilities of event pipeline
Reduce cost of doing business by optimizing usage of cloud resources
How You'll Work.
Team & Collaboration
Work closely with the Product Team, the Technical Program Managers, and partner engineering teams; collaborating across teams; leveling up their team through code review
Full 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. - 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
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