- 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)
- 2+ years of applied research experience (including research work during PhD)
- Experience in Natural Language Processing
- 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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Machine Learning Engineer - San Francisco, United States - Haystack News
Description
Job Description
Job DescriptionHaystack 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
PREFERRED QUALIFICATIONS:
RESPONSIBILITIES