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Title Machine Learning Engineer

The Amazing Race

Salary not specified
May 9, 2025
New York, NY, US
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Paramount is looking to improve user experience and efficiency across their digital properties by applying machine learning techniques.

Requirements

  • Knowledge of both supervised and unsupervised machine learning techniques in major types of approaches
  • Kubernetes - must know basics, APIs - good working knowledge, Message Queues (PubSub) - good working knowledge, and distributed processing like Ray and large DBs like BigQuery
  • Proficiency in Python and associated machine learning packages is a must Python, Tensorflow and/or PyTorch, (tensorflow preferred), experience with a Python web framework (Django/Flask) is preferred
  • SQL skills
  • Go or Java experience
  • Experience with Tensorflow Extended (TFX), KubeFlow and related tools
  • Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs)
  • Familiarity with Kubernetes and cloud deployments

Responsibilities

  • Craft and develop highly scalable and reliable machine learning solutions to improve user experience.
  • Overcome engineering challenges with deploying machine learning solutions at scale
  • Investigate new ways machine learning can improve products and determine viability of solutions
  • Pioneer new product ideas for how machine learning can improve products and take ownership from inception through implementation.
  • Deliver recommendations across Paramount and PlutoTV platforms that serve millions of customers daily.
  • Work on innovative video solutions applying machine learning to both live streaming video and VOD.
  • Curate our content platform to craft and develop sophisticated products to collect, transform and enrich data in a fast, scalable and reliable way for ourselves and our customers.

Other

  • Effective communication is important as this is a distributed team
  • Communicate concisely and persuasively with engineers and product managers
  • Desire to contribute to the open-source community (i.e., blogs, source code, etc)
  • 2+ years of experience bringing machine learning software products to production
  • MA/MS in Statistics/Data Science/Computer Science or related quantitative fields with specialization in data mining or machine learning techniques