Full-Stack Engineer, ML Infrastructure

At Serve Robotics, were reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. Its designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.

The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. Were looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.

Who We Are

We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.

Serves Data and ML platform plays a pivotal role in the continuous development of our autonomy stack. ML Engineers use it to collect large datasets for data annotation, model training and benchmarking. Autonomy engineers utilize it to search, discover and access data for debugging edge cases and validating new autonomy features.

As part of the team you will be working on building developer facing applications that will help us collect petabytes of data from our fleet of robots. You will help improve our annotation platform that allows us to annotate ground truth for millions of frames of data.

Responsibilities

Deploy and maintain our fleet data collection, robot data management, replay and visualization systems

Optimize performance of our various backend services and databases

Write IaC (Infrastructure as Code) to set up cloud resources and deployments. Implement CI / CD pipelines to streamline the development and release process.

Ensure all our applications and services are highly available and secure

Create dashboards and define metrics to evaluate our application usability

Setup application monitoring and alerting

Collaborate with engineers in improving the UI / UX, collect ongoing feedback to drive product roadmap

Qualifications

BS in computer science or equivalent hands-on experience

3+ years of experience building full stack applications

3+ years of experience with NoSQL and SQL Databases

3+ years of experience with cloud platforms (GCP / AWS)

3+ years of experience with modern frontend frameworks (React / Vue)

Extensive experience with python backend libraries / frameworks

Strong SQL / Python coding skills and experience

Deep understanding of UI / UX best practices

What Makes You Standout

Experience in the AV(Autonomous Vehicles) or robotics industries

Experience deploying and optimizing large scale cloud databases

Experience building developer facing applications

Experience or education in big data and ML

Previous startup / entrepreneurship experience

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