Reddit | Backend, Frontend, iOS, Android, Machine Learning Engineer for Video | SF, NYC, Remote (US), Dublin (Ireland) | Full-time
Reddit has recently raised $367m in their Series E funding to make strategic investments in the platform including video, advertising, consumer products, and expanding into international markets.
We are hiring across the board, I want to specifically stress out the jobs for video product which is currently a really exciting area to work and innovate in.
For any Golang enthusiasts out there: we are writing more and more of our services in Go. We have interesting challenges in scaling, data pipelines and building the foundation for a series of new products.
Some positions to highlight:
- Machine Learning Engineer, Video Ranking
"As the 6th largest site on the internet, Reddit generates billions of events and terabytes of data in a day. You will own projects from ideation to production instead of being stuck making small incremental gains on enterprise systems. We are looking for the best and the brightest Machine Learning Engineers/Scientists to join us in solving hard problems in order to create things that millions of users will love. We are a team of builders that value impact, personal growth, openness and kindness."
- Senior/Staff Backend Engineer - Video Platform
"Reddit is looking for a software engineer capable of building a highly robust, scalable, reliable and performant video backend that empowers the client platforms to build great video experiences. You will work closely with Backend Architects, Product Managers, UI/UX engineers and other Video experts to deliver a best in class video platform that will advance Reddit’s video expansion efforts to bring community and belonging to everyone on the planet."
- Senior Android Engineer, Video Creation
- iOS Engineer, Video Consumption
- Senior Backend Engineer, Video
- Senior Full Stack Engineer, Video Creation
- Senior/Staff Backend Engineer - Video Platform
- Senior/Staff Full Stack Engineer (Web) - Video Platform
- Engineering Manager, Video Product
- many more…
If you are interested apply here: https://boards.greenhouse.io/reddit?gh_src=3c9ba6c41us
Squarespace (Machine Learning Platform Team) | NYC, Portland, Dublin | Full time | Onsite & Remote
- Senior Machine Learning Platform Engineer: https://www.squarespace.com/careers/jobs/2811300
- Site Reliability Engineer for Machine Learning: https://www.squarespace.com/careers/jobs/2810873
Hello Hacker News! We are the Machine Learning team at Squarespace. We power customer-facing and internal services using machine learning for personalized experiences, optimization, search & discovery and more.
Our Platform team is growing. If you are interested in roles with high autonomy combining ML modeling infrastructure and DevOps best practices, this would be a great fit. You get to lead the architecture and design of systems for things like model training and serving telemetry, experiment tracking, feature stores, event ingestion and developer tools for researcher peers who build and operate ML models.
We are seeking experienced backend engineers with an interest in high level ownership of platforms and detailed integrations that help solve end-to-end aspects of delivering ML solutions to production.
We look forward to your application!
Nylas | San Francisco, New York, Denver, Toronto, Amsterdam, London, Vancouver, Dublin | U.S. Remote-OK | https://www.nylas.com
Our mission is to power the productivity layer of the modern technology stack. Nylas is a pioneer and leading provider of universal communications APIs that allow developers to quickly connect their applications to every email, calendar, or contacts provider in the world. More than 40,000 developers around the globe use the Nylas communications platform to process over 1.2 billion API requests and 20TB of data per day from providers such as Gmail, Microsoft Exchange, Outlook, Yahoo!, and more.
To learn more about who we are and whether this is the right place for you, check us out on Comparably: https://www.comparably.com/companies/nylas
Here are some of our open roles. To view all open roles, click the first link below:
* All open roles: https://jobs.lever.co/nylas
* Senior Site Reliability Engineer (Dublin, Amsterdam): https://bit.ly/31H6gTH
* SDET (Toronto, Vancouver): https://bit.ly/3rac1Er
* Senior Backend Engineer - Connectivity (Toronto): https://bit.ly/2SdicYF
* Technical Support Engineer (Toronto): http://bit.ly/392GHj1
* Technical Support Engineer (Amsterdam): https://bit.ly/31LP1RS
* Senior Software Engineer (Toronto): http://bit.ly/3pSkdbi
* Software Engineer - Features (Toronto): https://bit.ly/2PuCDCm
* Senior ML Engineer (Toronto): https://bit.ly/3ufmH60
* Engineering Manager, Developer Experience (Toronto): https://bit.ly/3fD9W0P
* Full Stack Developer Advocate (San Francisco, Toronto, Remote): https://bit.ly/2QQ66Hi
Tech Stack: Python, MySQL, Redis, Kinesis, HAProxy, Linux, Javascript, React, Redux, Flux, Flow, Elasticsearch, AWS, Jenkins, MyPy, nginx
Evervault (https://evervault.com/jobs) | Engineers, Designers, Interns | Dublin, Ireland or San Francisco, CA | ONSITE
By building the encryption engine for the web, we’re enabling developers to make the next generation of products as secure as possible, and to build in areas that have previously been too sensitive to build in.
We’re a team of seven, based primarily in Dublin, Ireland. We get things finished and obsess over minute details. We think rigorously and tinker quickly. We do the most challenging things first. We build, and don’t just talk about building. We’re generalists, and are not afraid of exploring unfamiliar domains. We keep things as simple as possible, but no simpler.
You may be a fit for Evervault if:
* You want to build durable infrastructure from ground zero. * You can decide what to work on, and can teach yourself whatever you need to get things done. * You understand that building something important means working long, hard, and smart — not two out of the three. The things we spend most of our time on are: * Applied Cryptography (fully-homomorphic encryption [1], post-quantum cryptography [2], trusted execution environments [3]) * Infrastructure (designing ultra-low latency systems backed by TEEs) * Applications (we know that developers will never want slower implementation, so we invest tremendous energy into carefully crafting our interfaces & flows) Our investors include Sequoia Capital, Kleiner Perkins, Index Ventures, Jeff Weiner (former CEO, LinkedIn), Dylan Field (CEO, Figma), Olivier Pomel (CEO, Datadog), and Alex Stamos (former CSO, Facebook).We also offer paid internships year-round, and invite interns who impress us to join full-time.
You can reach me directly at shane@evervault.com.
[1]: https://en.wikipedia.org/wiki/Homomorphic_encryption
[2]: https://csrc.nist.gov/projects/post-quantum-cryptography
[3]: https://press.aboutamazon.com/news-releases/news-release-det...