Software Engineer

Platform/Backend

Confirmed live in the last 24 hours

1-10 employees

Website

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)

About Refuel.ai

The Mission

The next wave of ML applications (video security, conversational AI and autonomous vehicles) is going to look very different from the last one (search and recommender systems). Teams working in these domains have to deal with large streams of unstructured data (images, video, text and audio), exorbitant labeling costs, and broken feedback loops. For this next wave of ML applications, getting to production takes months and adapting to the long tail is an existential struggle. That’s what we’re solving - Refuel.ai accelerates time to production for ML applications built on top of unstructured data, and enables them to continually improve in the real world.

The team

Refuel.ai was founded in 2021 by Rishabh Bhargava and Nihit Desai. Our founders bring machine learning and product experience from the world’s leading technology companies (Facebook, Instagram, Primer.ai and Cloudera) and institutions (Stanford, Cambridge and UIUC). We are backed by General Catalyst, XYZ Ventures and a host of successful and influential angel investors from places like Stanford, OpenAI, Datadog and Facebook.

What you will do

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.

You will be a great fit if you have

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.
Bonus: Experience with data processing technologies (e.g. Spark, Kafka) or machine learning frameworks and libraries (e.g. PyTorch, Tensorflow).

Our current tech stack

Infrastructure - AWS + Serverless + Kubernetes + secret sauce infra to power modern ML
Backend - Python + FastAPI + Postgres + DynamoDB
Frontend - React + Typescript

What we offer

We have raised funding from top-tier investors, including General Catalyst, XYZ Ventures and a host of successful angel investors from places such as Stanford, OpenAI, Facebook and Datadog. We will offer a competitive salary and meaningful equity in the company.

Most importantly, you will have the opportunity to create a massive impact on the product and company as a member of our early team. We care a lot about making a difference for our customers while working on a team where we are empowered to do the best work of our lives.