Machine Learning Engineer
About the Role
Do you love Machine Learning? Do you like playing with data? Are neural networks among your favourite things? If you answered yes, then in the Machine Learning Team at RavenPack we are seeking passionate engineers to build great ML-driven products.
As an ML team member, you will cover research, but also you will get your hands dirty with the implementation. You will transform ideas into new products and features, not just presentation slides.
Our main focus is Natural Language Processing, but we also tackle other types of ML. We use the latest & greatest NLP techniques, and you will have the freedom to choose the best ones for each project.
Some of the projects you could be involved in are Sentiment Prediction, Named Entity Recognition, Events Detection, Search & Ranking, Tone Recognition...
We have one of the largest archives of structured textual data available over 20 years. That means dozens of billions of news and other documents, hundreds of billions of clean tagged sentences ready to play with. We have more than 15 TB of rich annotated data (Entities, Events, PoS tagged) ready for new use cases using state-of-the-art NLP. We call it our Data Disneyland.
If you are excited by the opportunity to work with a world class technical team to deliver game changing ML products then we want to talk with you.
What you need to succeed
- BS or MS in Computer Science or relevant field.
- 3+ years of relevant experience in Machine Learning.
- Experience with Natural Language Processing.
- Knowledge of Neural Networks. We use Tensorflow, but we don't care if you come from PyTorch or similar.
Nice to have
- Deep knowledge of Natural Language Processing.
- Experience with the AWS ecosystem
- Sentiment Prediction, Named Entity Recognition, Events Detection, Search & Ranking, or Tone Recognition experience.
- High traffic, high performance ML-driven applications experience.
Life at RavenPack
We are a fast-growing and dynamic startup with 150+ team members between our offices in Marbella, New York City, Singapore, and remotely. We value collaboration and innovative thinking and are on a mission to hire the very best and give them the room and support to grow with us. We pride ourselves on new ideas that can come from everywhere in the organisation, and we know the next big idea could be yours!
We help organizations extract value and insights from large amounts of information - and we do it quickly and easily. Our products allow clients to enhance returns, reduce risk and increase operational efficiency. Today, we serve some of the most sophisticated banks, hedge funds, and organizations in the world.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.