We’re looking for a front end engineer who can deliver on both pixel perfect implementations of UI and high performance engineering of interactive web apps. We do interesting things here, you’ll work on recursive components for dependency tree visualization, parallel data processing with web workers and advanced full text search functionality with indexDB. The browser is the modern operating system and we want to leverage that to bring users the best possible experience in NLP.
The fact is, that algorithms aren’t enough, a great application needs to be beautiful, well thought out and flawlessly implemented. We’d like you to have a compulsion for beauty and order and see you insist on it both in the app and code you produce.
We aren’t concerned with a particular background, as long as you can do the work, can admit when you don’t know how and have the drive to figure it out. We’re going to support you, see you grow and have fun together. We’re a distributed team between Tel Aviv and Berlin, remote work is optional but encouraged though all of our offices are dog friendly. You can expect a competitive salary, a real equity stake in the business and plenty of greenfield opportunities to flesh out new ideas and put them in production.Sounds interesting ? Here’s what the process looks like:
Our customers love us because LightTag just works and we want you to help keep it that way as we continue to scale. We run a multi tenant SaaS as well as on-premise installations, including air-gapped installations in highly regulated and secured environments. It will be your job to make sure things are working, and that if something goes wrong we know about it before our customers do.
You can expect to inherit a modern and well operating DevOps environment, one that ships code multiple times a day and where crises are few and far between. You’ll keep things that way as we triple our user base and deploy larger, more compute intensive AI models.
A signifiant part of the role is perfecting our processes around on-premise deployments. You’ll be meeting with enterprise customers, helping their tech team integrate our product and monitor it, while developing simple and repeatable processes for doing so at scale. In that sense, you’re not just comfortable with docker and aws, you’re also happy assisting those with less fortunate devops regimes get the most of LightTag.
We’re a distributed team between Tel Aviv and Berlin, remote work is optional but encouraged though all of our offices are dog friendly. You can expect a competitive salary, a real equity stake in the business and plenty of greenfield opportunities to flesh out new ideas and put them in production.Sounds interesting ? Here’s what the process looks like:
We make tools to make labeling data for nlp easier and faster. A major part of that is providing users with models that work seamlessly and actually help them work smarter and faster in tangible ways. Our customers work in many languages and domains, often with few existing resources and we typically can’t see their data anyway.
It’s your job to find ways to help them automate, whether through pre-training, secondary tasks or other things only you know about. It’s crucial that our users experience is top-notch throughout and so you are highly concerned not just with model accuracy but it’s throughput and training time.
Everyone loves deep learning and at LightTag we also love everything else that works. You should be a grand master of regular expressions, fluent in dependency grammars and of course, comfortable with an LSTM, a transform and a convnet (or some combination thereof). You love labeled data because it helps get things done, and getting things done matters to you more than the inherent beauty of the model you’re building.
That’s not to say we don’t value beauty and elegance, and we look forward to seeing what you come up with. Some of the recent NLP problems we’ve been working on are