Software Engineer
Platform/Backend
Confirmed live in the last 24 hours
ML application infrastructure & tools
Company Overview
Refuel.ai's mission is to accelerate time to production for ML applications built on top of unstructured data, and enables them to continually improve in the real world. The company is currently building infrastructure and tooling for teams building ML applications on top of unstructured data.
Locations
San Francisco, CA, USA • Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
AWS
Apache Kafka
Data Analysis
Docker
Postgres
React.js
Tensorflow
Kubernetes
Python
TypeScript
FastAPI
CategoriesNew
Software Engineering
Requirements
- Experience building large-scale distributed systems that process large volumes of data
- Familiarity with Python programming language; experience or willingness to quickly learn technologies like AWS, Docker and Kubernetes
- Strong communication skills and enjoy working in a collaborative environment. We encourage open discussion and want the best ideas to win
- A curiosity about the early startup and company building journey
- Infrastructure - AWS + Serverless + Kubernetes + secret sauce infra to power modern ML
- Backend - Python + FastAPI + Postgres + DynamoDB
- Frontend - React + Typescript
Responsibilities
- Design and build the core backend systems that power our product, and process billions of data points every day. Some examples of this include our data ingestion infrastructure, scalable training and inference of state of the art ML models, semantic search, real-time outlier detection and alerting
- Work closely with our ML and frontend engineering teams to design the right APIs, data models and technical architecture for Refuel's platform
- Help define and evolve our engineering stack as we scale the product
- Help us hire a world-class team and mentor new team members
Desired Qualifications
- : Experience with data processing technologies (e.g. Spark, Kafka) or machine learning frameworks and libraries (e.g. PyTorch, Tensorflow)