Machine Learning Engineer

2 weeks ago


San Francisco, United States Haystack News Full time
Job DescriptionJob Description

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.



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