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Discovery

Software Development Engineer III - Machine Learning & Infrastructure

Discovery hires the very best and brightest talent who are enthusiastic and passionate to fulfill the company's mission of empowering people to explore their world and satisfy their curiosity.

In exchange for their talent and drive, employees are provided with an engaging, diverse workplace and the resources they need to learn, thrive and grow in their careers.

Position Summary

As television and media habits change, our mission remains true to the principles that founded Discovery - every day we seek to ignite people's curiosity to engage, entertain and enlighten the world around them through amazing viewing experiences.

The Direct to Consumer Group is a technology company within the Discovery brand. We are building a global streaming video platform (OTT), and a suite of applications to support all of our network's brands globally. We are building modern container-based micro-services operated on AWS. Our platform covers everything from search, catalogue, video transcoding, personalization, to 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 Discovery owned networks (Discovery, Food Network, Golf TV, MotorTrend, Eurosport, Discovery Play, and many more) This is a growing, global engineering group crucial to Discovery's future.

We are hiring senior software development engineers to join our global video delivery platform team - a foundational pillar of the direct to consumer group. Video is core to Discovery's business and this team strives to provide the best possible video stream to every customer on every device and network. The team provides mission-critical functionality to all Discovery applications that includes content search and metadata services, video transcoding and DRM services and video playback services among others.

The ideal candidate has a track record of having built multiple high-performance, stable, scalable systems that have been successfully shipped to customers in production. Your work and your approach to work are exemplary: you drive best practices and set standards for your team. You are a key influencer in your team's strategy and contribute significantly to team planning. You show good judgement making trade-offs between immediate and long-term business needs. You are a collaborative leader that makes other engineers and team members around you more productive, by sharing your knowledge, and helping to tie-break key technical decisions. You provide mentoring to other engineers.

Responsibilities

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 Discovery brands. You will be responsible for building a scalable Machine Learning platform that will be used to train, evaluate, deploy, serve and monitor ML models and to manage data. You will design complex resilient ML systems that will operate at the scale of millions of users.

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.

Requirements

  • 5+ years of experience designing, building, deploying, testing, maintaining, monitoring and owning scalable, resilient and distributed machine learning systems and platforms.
  • Proficiency in operating machine learning solutions at scale, covering the end-to-end ML workflow.
  • Expertise with tools and platforms commonly used for end-to-end machine learning (Kubeflow, TFX, Airflow, MLflow, ...).
  • Knowledge of Feature Stores (e.g. Feast, Tecton).
  • Familiarity with real-world ML systems (configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, monitoring).
  • Knowledge of batch and streaming data processing techniques.
  • Obsession for service observability, instrumentation, monitoring and alerting.
  • Strong knowledge of AWS or similar cloud platforms.
  • Expertise with CI/CD tools (CircleCI, Jenkins or similar) to automate building, testing and deployment of the ML platform and to manage the infrastructure (Pulumi, Terraform or CloudFormation).
  • Basic understanding of ML techniques and algorithms (supervised vs. unsupervised learning, deep learning, ...).
  • Familiarity with recommendation and search to personalize the experience for millions of users across million items.
  • Masters in Computer Science or related discipline.


Discovery Communications, Inc. is an equal opportunity employer. Discovery is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. To that end, we strive to recruit and maintain a workforce that meaningfully represents the diverse and culturally rich communities that we serve. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disabled status or, genetic information.

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including but not limited to all local Fair Chance Ordinances.

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If you are an individual with a disability and need an accommodation during the application process, please send an email request to [email protected]

Nearest Major Market: Seattle
Nearest Secondary Market: Bellevue

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