Whip Media is transforming the global content licensing ecosystem with a market leading enterprise software platform that centrally connects data, processes and teams throughout the digital distribution journey. Powered by predictive insights and proprietary data, we enable the world’s top entertainment organizations to efficiently distribute, control and monetize their TV and movie content to drive revenue and direct-to-consumer growth.
We are looking for a machine learning expert. Someone that can further elevate a fast growing machine learning team. As a Senior Machine Learning Scientist, you will be creating the intellectual property that powers our enterprise products. This means finding novel applications of ML algorithms in service of connecting global content to global audiences. Projects include using NN for entity resolution problems, extracting metadata and signal directly from content, designing models to integrate internal and external data sources into our proprietary algorithms, further boosting our products competitive edge.
What Will You Do?
Translate our groundbreaking disruptive business strategy into a machine learning vision; then actualize that vision with state-of-the-art techniques together with a trailblazing team.
Create, maintain, and iterate on our machine learning products that back our enterprise data products
the business-to-business products that backs billions of dollars worth of decisioning every month.
Work closely with the data engineering team to implement best practices and ML infrastructure that keeps us accelerating forward.
Collaborate with the data ingest team to discover novel signals from our 1st party data sets.
Collaborate with the product data science team to design powerful models that influence billions of dollars in content decisioning.
Implement processes that uphold our high data and modeling standards so that our algorithms are always trained on the best possible features.
What Do You Need?
Minimum 3-5 years working as a ML-oriented Senior Data Scientist or a ML Engineer
Extensive experience architecting complex algorithms/data products to address large scale business challenges, extensive knowledge of neural networks is preferred.
Extensive experience designing and instituting “production quality” machine learning algorithms that are stable over time.
Experience with ML frameworks such as TensorFlow, PyTorch and H20.
Experience manipulating large data sets using tools such as Spark
Previous experience with Entity Matching / Resolution desired.
Experience coding in Python with knowledge of R and Java/Scala a plus.
PhD degree in Computer Science, Math, Statistics or a related technical field preferred, MS required.