Experience level: Mid-senior

Experience required: 6 Years

Education level: Bachelor’s degree

Job function: Information Technology

Industry: Entertainment

Total position: 3

Relocation assistance: Limited assistance

Visa: Willing to Sponsor Greencard

Job Summary

The Direct to Consumer Group is a technology company within the Client. We are building a global streaming video platform (OTT) that covers search, recommendation, personalization, catalog, video transcoding, global subscriptions, and really much more. We build user experiences ranging from classic lean-back viewing to interactive learning applications. We build for connected TVs, web, mobile phones, tablets, and consoles for a large footprint of Client owned networks (Client, Food Network, Golf TV, MotorTrend, Eurosport, Client Play, and many more). This is a growing, global engineering group crucial to the Client’s future.

 We are hiring Senior Software Engineers to join the Personalization, Recommendation, and Search team. As part of a rapidly growing team, you will own complex systems that will provide a personalized and unique experience for millions of users across over 200 countries for all the Client brands. You will be responsible for designing and implementing state-of-the-art ML algorithms and systems to personalize the entire experience for our users. You will apply advanced ML techniques to build Recommender and Search systems.

You will lead by example and define the best practices, will set high standards for the entire team and for the rest of the organization. You have a successful track record for ambitious projects across cross-functional teams. You are passionate and results-oriented. You strive for technical excellence and are very hands-on. Your co-workers love working with you. You have built respect in your career through concrete accomplishments.

 Qualifications:

 5+ years of experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed machine learning algorithms and systems.

Expertise with Machine Learning algorithms applied to Recommender Systems and Search.

Proficiency in operating machine learning solutions at scale, covering the end-to-end ML workflow.

Experience with offline experimentation and A/B testing.

Deep knowledge of ML tools and frameworks (TensorFlow, Keras, PyTorch, sci-kit-learn, Spark, ...).

Proficiency in programming languages such as Python or Scala.

Strong understanding of modern approaches to Recommendation or Search (GBDT, CNN, LSTM, GRU, HRNN, transformers, siamese neural networks, variational auto-encoders, ...).

Experience with at least one of Deep Learning, Contextual Multi-Armed Bandits, Reinforcement Learning, Causal Inference.

Familiarity with real-world ML systems (configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, monitoring).

Understanding of batch and streaming data processing techniques.

Obsession for service observability, instrumentation, monitoring, and alerting.

Knowledge of AWS or similar cloud platforms.

Familiarity with CI/CD tools (CircleCI, Jenkins or similar) to automate building, testing, and deployment of the ML algorithms and to manage the infrastructure (Pulumi, Terraform, or CloudFormation).

Masters in Computer Science or related discipline.

If you are motivated to succeed, self-driven, and excited by the idea that your work will define the Client’s success and the daily viewing experience for millions of users, please connect with us, we would love to chat with you!