Machine Learning Engineer
4 weeks ago
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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