Senior Machine Learning Engineer

Curiosity about applying machine learning e.g, supervised methods like SVMs, random forests, deep learning & reinforcement learning, to existing products and services to improve their efficiency and the overall user experience across our digital properties. Leverage datasets like traffic/video/ consumption data from Adobe Analytics, purchase/subscription data, and third-party data sources, to model, analyze and predict user behavior. Take ownership of machine learning products from conception through delivery and monitoring.
Your Day-to-Day: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.Keep up with machine learning research and commercial product offerings across a wide variety of machine learning fields including NLP, recommendations, image and video.Participate in design and code reviews.Effective communication is essential as this is a distributed team.Key Projects: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 state-of-the-art video solutions applying machine learning to both live streaming video and VOD.Curate our content platform to design and develop sophisticated products to collect, transform and enrich data in a fast, scalable and reliable way for ourselves and our customers.Basic Qualifications:2-3 Years of proven experience bringing machine learning software products to production.Leads on design and optimization of ML pipelines and developer experience.MA/MS in Statistics/Data Science/Computer Science or related quantitative disciplines with specialization in data mining or machine learning techniques.Knowledge of both supervised and unsupervised machine learning techniques in major types of approaches that they should be familiar with LTR (Learning to rank), Transformer Architectures, Sequences models for offline and online inference.Have full stack experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of data science products.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 Nice to have Go or Java experience.Communicate concisely and persuasively with engineers and product managers.Additional Qualifications:Experience with Tensorflow Extended (TFX), KubeFlow and related tools.Experience using project management tools like those from Atlassian (JIRA, Confluence).Familiarity with version control systems (Git and Bitbucket).Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs).Background in NLP or text mining techniques is a plus.Background in deep learning is a plus.Familiarity with Kubernetes and cloud deployments.Experience with elasticsearch.Desire to contribute to the open-source community (i.e., blogs, source code, etc).Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world's biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streaming's other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage.
ADDITIONAL INFORMATION
Hiring Salary Range: $124,000.00 - 163,000.00.
The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement.
Paramount is an equal opportunity employer (EOE) including disability/vet.
At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
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Nearest Major Market: San Francisco
Nearest Secondary Market: Oakland

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