Aartificial intelligence, Amazon Elastic Compute Cloud-EC2, C++, CSS, Deep Learning, DevOps, Flask, HTML, Lambda, Machine learning techniques, Node.js, Python Programming, SaaS, TypeScript, Web APIs
About the position
The Avatars & Voices team is responsible for developing and maintaining our avatar inference, production and customisation as well as text-to-speech and voice cloning. In this role, you will have the opportunity to build a distributed system for user specific voices plus work on scaling the current product and shaping future projects in our pipeline.
We're looking for very Senior / Principal / Staff Engineer-level engineers to take ownership of workstreams and eventually build out teams.
Requirements
How we work
We have a fast yet non-hacky development style. We work strictly with product managers who have a technical background. As a result, we do not overwhelm engineers with unrealistic expectations/requirements, and we can therefore move forward much faster. Well, we don’t have unrealistic expectations/requirements in the first place, since we see our roadmap as a set of high-level goals and we have no fixed timelines on deploying features - we want to get things to production as fast as possible. We do that by pushing features behind a feature flag - so not all users see all features, but our production is always updated. This brings zero-downtime deployments, backward compatible features, and similar challenges since our users should never be impacted. Our engineers have one sync meeting per week, async text Slack dailies, we have no dedicated QA people, we work in super small & independent teams, we have no Jira and in our team, we only have engineers, no code monkeys.
For us, it's simple: give people time to do deep work. And help specify features that are limited in scope while discouraging hacky workarounds.
It's early for us and we don't know how right we are yet. But after two years of building our product team and core engineering principles, we can see that we are on the right track. Progress over perfection.
Our stack & some context
We started to work on our main product - Synthesia STUDIO - two years ago with a very small team of engineers (BE and FS). We now have a functional product, that we develop, push forward and improve constantly. While we know, we have a long way to go, to bring our product to where we want it to be, we also have to be mindful of our existing userbase, which is also really involved with us and provides great feedback for each update and new feature we roll out. We have a lot of custom components and multiple layers of complexity, our product is constantly changing but if we try to sum up our stack:
The good stuff...
You will be compensated well (salary + stock options + bonus)
You will work in a remote-first environment with offices in 5 locations
You get 25 days of annual leave + public holidays in the country where you are based
You will join an established company culture with regular socials and company retreats
You get 4 weeks paid sabbatical after 4 years at the company + $10,000!!
You get a paid parental leave
You can participate in a generous referral scheme
You get a brand new computer of your choice (if that still counts as a benefit in 2023 )
You will have huge opportunities for your career growth
Synthesia has been ranked as the top AI video creation platform, utilized by numerous companies to produce videos in 120 different languages. By utilizing Synthesia, businesses can save up to 80% of their time and budget.