We're on a mission to provide every human being with access to economic opportunity. Avala is looking for world-class talent ready to tackle challenging projects that will ultimately enable a more abundant economic future for all humanity.

We’ve raised several millions of dollars in funding of venture capital, from Valor Equity Partners, Flybridge Capital, Wonder Ventures, Draft Ventures, MaC Ventures, and many other high profile investors. Happy to tell you how much over the phone. We are a post-Series Seed company.

We are looking for an experienced Full Stack Engineer. This is an opportunity to have a big impact and get lots of ownership. We're looking for someone who thrives in the very early stages of a company and is self driven.

You will:

Connect our machine learning code to databases, and these databases to the frontend. Our machine learning engineers and leadership use this stack to schedule, launch, monitor, track and debug experiments, jobs and models. Work on the platform of tools and infrastructure of whatever the machine learning team needs to be effective. This spans the scope from the machine learning code in Python to back-end and front-end work in JavaScript. Coordinate required hardware resources with the team managing the cluster hardware to maintain high availability. Work with the Machine Learning team directly to understand requirements and priorities. Shape our practice as one of our early hires, bringing your technical leadership, experience, and knowledge of best practices to establish a strong engineering culture.

Competitive compensation and equity package Free base medical, dental, and vision insurance plus free membership to One Medical 401k program 21 PTO days per calendar year + sick days when you need it Annual professional learning and development budget Work from home equipment stipend Flexible in-office policy when we return Quarterly socials and recharge days Autonomy to make decisions in a rapidly growing environment

We encourage any candidate who meets 70% of these qualifications to still apply!

Strong software engineering foundations and a desire to apply those skills toward making other engineers more productive BS/MS in Computer Science or the equivalent in experience with evidence of exceptional ability. Strong understanding of JavaScript (ES6+), Python. Experience building modern web applications using React/Redux or similar component based libraries. UI and graphic design sensibilities. Interest in machine learning, computer vision or neural networks. Must be willing to constantly learn new things. Passionate about joining a small team and building a company. Nice to haves:

Experience working with large computer clusters. Knowledge of machine learning, computer vision, or neural networks is a plus You've worked at a startup before. A history of working on side/hobby projects and contributing to open source projects is a plus.