Job Summary:

Research in Computer Vision, Natural Language Processing, and Machine Learning has already made a deep impact in Disney Streaming’s sports and entertainment products. Research Scientists at Disney Streaming are breaking new ground by making our systems fully aware of its physical and digital environment, redefining artificial intelligence, and creating stunning technology for computer vision, natural language processing, machine learning, and large-scale real-time systems. We are pioneering innovative techniques that combine computer graphics and computer vision to advance state-of-the-art visual computing technologies. Come join Disney Streaming’s Advanced Research team, and work with the people who bring Disney magic to millions of people in new and exciting ways.

If CV human pose estimation, 3D human reconstruction, object detection and tracking, action detection and classification, scene understanding coupled with the use of CG building 3D simulation scenes including human 3D model animating aligned with NLP and sentiment understanding and a strong desire to be a part of building an ML Ops team, then look no further.

Responsibilities:

The Disney Streaming Advanced Research team is seeking an experienced developer with machine learning experience interested in pursuing a ML Ops, data science path. You should be highly motivated in the areas of Computer Vision, Machine Learning, Robotics, and Speech Technologies. You will be providing statistical analysis over large data sets and building high quality machine learning systems integrated within our products/projects. A significant portion of your will be spent building the systems to ingest, process, organize and store data from a diverse collection of data sources.

DSAR focuses on CV and NLU ML. This is a challenging environment for anyone interested in ML Operations associated with sports data analysis derived from high performance pose estimation processes, and in building multiple language ML pipelines for our NLP group.

Basic Qualifications:

• 4+ years’ work experience with Machine Learning, DevOps, Deep Learning, Computer Vision, high-performance computing (HPC), software engineering and/or related fields
• Experience building ML models & subsequent evaluation
• Hands-on experience using tools such as: Python, TensorFlow, Keras, PyTorch, C/C++, and database languages
• Outstanding written and oral presentation skills are required for both internal and sponsor-facing communications

Preferred Qualifications:

• Previous machine learning/ML Ops experience
• Familiarity with Linux/Unix, AWS/S3. Apache Spark familiarity a bonus
• Familiarity with deep learning algorithms: RNN, Autoencoders, etc. and frameworks like TensorFlow, PyTorch, or Theano.
• Understanding of time series analysis/analytics: ARIMA, LSTM, etc.
• Experience with ETL (Extract, Transform, Load)
• Familiarity with a Data Visualization Software like Tableau
• Initiative to meet deadlines and deliver high quality results without supervision
• Hands-on experience managing or provisioning GPU/CPU clusters, or other large-scale cloud or Linux/Unix systems.
• Hands on experience developing and training AI/ML models.
• Proven experience implementing CI/CD for operational AI pipelines.
• Operational experience deploying across cross-provider, cross-domain cloud computing environments.

Required Education

• Bachelor’s degree in Computer Science (or related field)

Preferred Education

• Bachelors or Masters, in Computer Science or a related field

Additional Information:

Location:

• New York, NY or Bristol, CT or Remote

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