Haystack News, the number one destination for news on streaming platforms, is looking for a Machine Learning engineer to join our team. Today Haystack is trusted by over 25 million viewers and is among the fastest-growing TV news companies in the world.

BASIC QUALIFICATIONS

• 3+ years of Experience in building large-scale recommender systems (for news feeds, shopping, image, music, video, ads, etc)

• Track record of shipping models to real-world applications and making an impact

• Master's degree in Computer Science, Mathematics, Electrical Engineering, Statistics, or Operation Research

• Proficient in programming in Python. Additional programming experience in Java, JavaScript, or C++ is a plus.

• Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow

• Familiarity with common machine learning algorithms, such as GBDT, XGBoost, Random Forest, and Logistic Regression.

• Experience with SQL (e.g. Postgres, snowflake, etc)

PREFERRED QUALIFICATIONS:

• 2+ years of applied research experience (including research work during PhD)

• Experience in Natural Language Processing

RESPONSIBILITIES

• Work cross-functionally to translate business problems into ones that can be solved using machine learning.

• Have curiosity and apply analytical skills to dive deep into data to find key insights that would impact the business.

• Develop machine learning models to make recommendations and influence the product roadmap.

• Work with other team members to develop key metrics to achieve business outcomes.

• Be a champion of AB testing. Design, execute, and analyze experiments to prove product change attribution.