Full-Time

Machine Learning Engineer

Confirmed live in the last 24 hours

Refuel.AI

11-50 employees

Platform for deploying machine learning on unstructured data

Data & Analytics

AI & Machine Learning

Junior, Mid, Senior

San Francisco, CA, USA

Required Skills

Python

Data Structures & Algorithms

AWS

Requirements

Experience building ML applications for unstructured data (image, video, text, audio streams) including data collection, model development and deployment.
Familiarity with Python programming language.
Strong communication skills and enjoy working in a collaborative environment.
Curiosity about the early startup and company building journey.
Bonus: experience working with Machine learning stack in AWS, or published research in machine learning or related fields at conferences/journals

Responsibilities

Develop the core machine learning algorithms powering our platform, in domains such as representation learning, clustering and outlier detection in high dimensional spaces, improving label quality in real-world datasets, and active learning.
Keep up with state-of-the-art research in machine learning for content understanding.
Apply state of the art deep learning models developed internally and from the research community to solve problems for our customers.
Work closely with the rest of our engineering and design teams to identify feature and scalability improvements to our product.
Help define and evolve our engineering stack as we scale the product.
Help us hire a world-class team and mentor new team members.

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

Develop the core machine learning algorithms powering our platform, in domains such as representation learning, clustering and outlier detection in high dimensional spaces, improving label quality in real-world datasets, and active learning.
Keep up with state-of-the-art research in machine learning for content understanding. Apply state of the art deep learning models developed internally and from the research community to solve problems for our customers.
Work closely with the rest of our engineering and design teams to identify feature and scalability improvements to our product.
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 ML applications for unstructured data (image, video, text, audio streams) including data collection, model development and deployment.
Familiarity with Python programming language. Hands-on experience with at least one of the popular deep learning frameworks like PyTorch and TensorFlow is a big plus.
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 working with Machine learning stack in AWS, or published research in machine learning or related fields at conferences/journals

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.

Refuel.AI

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Website

View Company Profile

Refuel.AI offers a platform that accelerates the deployment of machine learning applications on unstructured data, allowing for continual improvement in real-world settings. The platform provides full control over data ingestion, transformation, and storage, with real-time search and analysis capabilities, and integrates LLM technology to generate, annotate, clean, and enrich datasets for AI applications.

Company Stage

Seed

Total Funding

$10.5M

Headquarters

San Francisco, California

Founded

2021

Growth & Insights

Headcount

6 month growth

↑ 10%

1 year growth

↑ 57%

2 year growth

↑ 175%

Benefits

Competitive salary & meaningful equity

Health, vision, & dental insurance

Unlimited PTO

Home office setup

Learning & development

Team retreats