Machine Learning Engineer en Haystack News

Haystack News is the leader in transitioning younger audiences to a next-generation TV news product. We empower users to watch the news they care about with a personalized headline news channel. Our personalization and big data technology enable a seamless lean-back experience reaching millions of users. In 2020, we streamed billions of minutes of news to users around the globe.

We're available on a variety of TV platforms (Roku, Fire TV, Android TV, Apple TV, Chromecast, Vizio) as well as mobile, tablet, and desktop.

We are looking for an outstanding machine learning engineer to join Haystack and help improve the experience of millions of users that rely on Haystack to get the news every day.

Within the team you’ll find many opportunities to work on various aspects of Machine Learning and Data Engineering. The job offers the opportunity of generating a major impact on the product while working with an awesome and talented team, using the latest technologies.

You will:

• Analyze large data sets to get insights using statistical analysis tools and techniques
• Build, evaluate and deploy machine learning models
• Maintain ongoing reliability, performance, and support of the data infrastructure, providing solutions based on application needs and anticipated growth.
• Work with tools to configure, monitor and orchestrate data infrastructure and pipelines.
• Run and monitor AB Tests
• Build and manage APIs

• Bachelor's degree in Computer Science, Statistics, Math or related field.
• 3+ years experience writing software in a professional setting
• Knowledge of AWS and Python
• Strong Math/Stats background with statistical analysis experience on big data sets
• Experience with SQL and NoSQL (e.g. MongoDb or DynamoDB)
• Big Plus: Experience with data warehouses (e.g. Snowflake, Big Query, Redshift)
• Exposure to ML/AI libraries such as sklearn, LightGBM and, XGBoost.
• Travel Visa to the US (desired)

Uber rides to come to the office!
Travel to team's offsite events
Learn about multiple technologies