Senior Software Engineer, Events

haydenai; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Hayden AI in San Francisco is seeking a Senior Software Engineer for the Platform - Cloud Events team. You will ensure that data captured by Hayden’s devices is properly validated and assessed by the ML models running in the Cloud, and you’ll elevate ML operations by enabling a more efficient model improvement lifecycle.

Collaborate with the Product Team, Technical Program Managers, and partner engineers who build edge software and interpret sensor data.

Qualifications

• 7+ years of overall experience; 2+ years building high throughput backend services
• Expertise with Golang and/or Python; strong distributed systems thinking
• Experience or knowledge in ML Ops is a plus
• Collaborative teammate with strong code-review skills and attention to detail
• BS in Computer Science or related field

Responsibilities

• Maintain a high level of code quality through code review and documentation
• Optimize machine learning operations with robust systems and cross-team collaboration
• Expand capabilities of the event pipeline to meet general and client-specific needs
• Reduce cloud costs by optimizing usage of cloud resources, especially GPUs

Skills

Golang / Python

Distributed systems

ML Ops

Code review

Team collaboration

Education

BS in CS

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+ 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