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Senior Machine Learning Engineer (Remote)

6107

Atlanta, GA, US, 30315 New York, NY, US, 10019

Other
Atlanta
Full-Time

ViacomCBS (NASDAQ: VIAC; VIACA) is a leading global media and entertainment company that creates premium content and experiences for audiences worldwide. Driven by iconic consumer brands, its portfolio includes CBS, Showtime Networks, Paramount Pictures, Nickelodeon, MTV, Comedy Central, BET, Paramount+, Pluto TV and Simon & Schuster, among others. The company delivers the largest share of the U.S. television audience and boasts one of the industry's most important and extensive libraries of TV and film titles. In addition to offering innovative streaming services and digital video products, ViacomCBS provides powerful capabilities in production, distribution and advertising solutions for partners on five continents.

 

We are looking for a Senior Machine Learning Engineer to join the newly crafted Content Optimization team. Our mission is to use modern data science to inform decision-making relating to content windowing and investment across ViacomCBS businesses. In this role, you will join a group of top-notch data scientists and data engineers who build predictive models that support highly critical multi-million dollar content-related decisions. This will be achieved in collaboration with our other data science and research groups across ViacomCBS.

 

The role reports to the SVP of Content Data Science. This represents a uniquely exciting opportunity for a machine learning engineer to deliver impact at a leading premium global content company, in an exciting and rapidly-evolving industry.

We are seeking individuals with deep technical skills who seek to be the smartest in the room and are not afraid of being surrounded by smarter ones, individuals who are results-oriented enough to work on multi-year projects that have the potential to build significant value across all parts of our business.

 

About you. You must be:

  • Feel very comfortable asking a lot of questions

  • Comfortable with Kanban and Scrum as well as no structure at all because you understand that one model does not fit all

  • Apt at being at time a leader and at other time a follower, possibly with the same people regardless of ranks and seniority, depending on how you contribute to a project

  • Enjoy written communication because it gives you a medium to express highly complex and nuanced ideas

 

Overview & responsibilities:

The Machine Learning Engineer should possess a deep sense of curiosity and a passion for building decision supporting products based on data, and the ability to communicate data structures and tools throughout the ViacomCBS Content Optimization team. This engineer supports data pipeline development which includes machine learning algorithms using disparate data sources, from large 100+Tb to small Excel spreadsheets stored on AWS or GCP.

 

  • Preference is to be based in Atlanta, GA but may work remotely within the US

  • Works with large, medium and tiny volumes of data in diverse formats and stores to build pipelines and data migration tools that enhance raw data.

  • Able to break down and communicate highly complex data problems into simple, feasible solutions.

  • Extract patterns from large datasets and transform data into an informational advantage.

  • Partnering with multiple teams across ViacomCBS to determine the best approach around data ingestion, structure, and storage. Then, working with the team to ensure these are implemented correctly.

  • Contributing ideas on how to make our data more effective and working with other members of the team and other teams to implement changes.

  • Ongoing development of technical solutions while developing and maintaining documentation, at times training impacted teams.

  • Early on collaboration with the team on internal initiatives to create strategies that improve company processes.

 

Required qualifications:

  • 4+ years work experience with focus on implementing data pipelines for data products.

  • Experience building and deploying applications on AWS

  • Familiarity with distributed computed patterns and frameworks (Spark, AWS EMR, AWS Batch, Dask, Ray, Modin)

  • Orchestration and data cataloging tools (AWS Glue, Airflow)

  • Experience with MLOps (MLFlow, Kubeflow, Seldon) and DevOps (Jenkins, Git, monitoring tools)

  • Familiarity with distributed query engines such as Redshift, Athena, BigQuery, Snowflake, including experience with query performance tuning, file formats such as Parquet, Avro

  • Experience with large data volumes (100+ tb)

  • Advanced Python, including familiarity with OOP and large codes, as well as data science libraries (Pandas, NumPy)

 

Desired additional qualifications:

  • Master degree in CS or similar fields, or unusual career path

  • Experience as DBA

  • Experience as full stack developer

 

 

#LI-AW3  

 

ViacomCBS is an equal opportunity employer (EOE) including disability/vet. 

 

At ViacomCBS, 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. ViacomCBS 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. 

 

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access. https://www.viacomcbs.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to viacomaccommodations@viacom.com. Only messages left for this purpose will be returned. 


Nearest Major Market: Atlanta