Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Candidates should possess a BS in computer science or equivalent hands-on experience, with 3+ years of experience in building full-stack applications, using NoSQL and SQL databases, and working with cloud platforms like GCP/AWS. They should also have 3+ years of experience with modern frontend frameworks such as React/Vue, extensive experience with Python backend libraries/frameworks, and strong SQL/Python coding skills, along with a deep understanding of UI/UX best practices. Experience in the AV or robotics industries, deploying and optimizing large-scale cloud databases, building developer-facing applications, or working with big data and ML are considered standout qualifications.
The Full-Stack Engineer will deploy and maintain fleet data collection, robot data management, replay, and visualization systems. They will optimize the performance of backend services and databases, write Infrastructure as Code for cloud resources and deployments, and implement CI/CD pipelines. Responsibilities include ensuring application and service availability and security, creating dashboards, defining metrics for application usability, and setting up application monitoring and alerting. The engineer will also collaborate with other engineers to improve UI/UX and gather feedback for product roadmap development.
Autonomous delivery robots for food and retail
Serve Robotics is changing the delivery industry with its self-driving robots that provide sustainable and efficient delivery solutions. Instead of using traditional vehicles, these lightweight, autonomous robots deliver small items like food and retail products, reducing carbon emissions and traffic congestion. The company operates on a delivery-as-a-service (DaaS) model, allowing businesses in the food and retail sectors to subscribe and pay based on their delivery needs. Serve Robotics aims to lead in the autonomous delivery market by offering eco-friendly solutions that enhance customer experience.