
Data Scientist, Reinforcement Learning
You will code in Python, Tensorflow, Keras, SQL and maybe Go leveraging industry leading ML development tools built on top of Google Vertex AI and AWS SageMaker. You will conduct comprehensive studies of BuzzFeed’s current approach to Recommender Systems to identify opportunities, gaps and identify areas of ML investment. You will partner with senior engineering and data leadership to strategize and develop ML architectures and research roadmaps. You will partner with ML scientists, ML engineers, Product Managers and Product Engineers to iteratively implement the architecture and execute on the research roadmap. You will contribute and shape the ML infrastructure to support your vision and execution needs.
4+ years of deep academic research (or equivalent industry) background in areas of Bayesian Modelling, Reinforcement Learning
1+ years of industry exposure to Personalization and Recommendation Systems
Interested in architecting, researching, and deploying ML/DL systems in production environments.
reinforcement learning
Time Management Skills
Experimentation error analysis
Offline/online evaluation
Bayesian Modelling
Process Improvement
Driven and self-motivated
Communication Skills
Problem-Solving
Flexibility/Adaptability
Attention to detail and accuracy
Multi tasker
According to JobzMall, the average salary range for a Data Scientist, Reinforcement Learning in 111 E 18th St, New York, NY 10003, USA is between $65,000 and $125,000. This salary range depends on many factors including the experience and expertise of the individual, the company offering the job, and the current demand for the position.
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BuzzFeed, Inc. is an American Internet media, news and entertainment company with a focus on digital media; it is based in New York City.

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