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 Discovery. We are building a global streaming video platform (OTT) which covers search, recommendation, personalization, catalogue, 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 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.

Responsibilities

We are hiring Applied Data Scientist 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 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.

Requirements

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, scikit-learn, Spark, ...).

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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Ameya Karvir

Vice President of Data Science and Analytics

ON THE CUTTING EDGE

Keeping at the forefront of content consumption

Karvir and co. use data-rich insights to deliver experiences that will resonate, such as fine-tuning streaming personalization or suggesting relevant content for web visitors. “With the whole aspect of personalization, we are catering to every single individual on their device,” he said. To continue leading in their field, he prioritizes adaptability among teammates as a key attribute in navigating an oft-evolving industry.

My team operates as a mini R&D center and brings forth what we find useful. It’s all about speed, research, exploration and how we make it actionable.

Ameya Karvir

Vice President of Data Science and Analytics

Melanie Lantin

Vice President of Product Design and User Research – Consumer Digital Products

PILLARS OF SUPPORT

Leaders don’t just manage, but empower

At her first design review for home brand Magnolia, Lantin noticed something she described a rarity: The audience was overwhelmingly female. “It was really refreshing that Magnolia, with Joanna Gaines at the helm, already prioritized female leadership and vision,” she said. For Lantin, this powerful realization underscored the broader culture of support and empowerment, which she expands on by mentoring colleagues.

I make sure I’m available to all my team members and know that I can offer a specific type of help or mentorship to the women on my team by giving them all of the tools that can help them navigate their careers.

Melanie Lantin

Vice President of Product Design for Magnolia Direct-to-Consumer

Martin Ma

Group Vice President, Engineering

PEOPLE-DRIVEN TECH

Staying focused on the human element

Steering engineering for brands such as Food Network Kitchen as well as Discovery websites, Ma helps the organization scale in a fast-moving space. But, for Ma — who embraces a “lean startup” mindset — the challenges transcend tech. “It’s all about people. We build a team of subject matter experts who know areas of a product inside-out, while everyone on the team understands the bigger picture,” he said.

Engineering problems are always people problems, and there’s nothing a great team of empowered engineers can’t solve.

Martin Ma

Vice President of Technology

What are Warner Bros. Discovery Perks + Benefits

Warner Bros. Discovery Benefits Overview

Warner Bros Discovery offers a comprehensive set of benefits and perks to support employees in their personal and professional lives. Some program highlights include:

• Local medical, dental, and vision programs in many countries around the world.
• On-site wellness and fitness centers across several of our office locations.
• Family support programs. In the U.S., additional services include on-site childcare in certain offices, backup childcare services, family caregiver leave, adoption, surrogacy, and cryopreservation assistance, and more.
• Tools and resources to support the mental wellbeing of our employees and their dependents, including mental health counselors and 24/7 access to free, confidential support through our Employee Assistance Program administrators.
• Products and services to support financial wellbeing including financial planning tools, and a 401(k) savings plan in the U.S.
• Flexible work arrangements around the globe, allowing employees to better balance work and personal commitments.
• Global learning, leadership & organization programs to inspire, equip, and empower our people to thrive. These programs and resources are accessible to everyone at whatever stage they are in their career.

Culture

Volunteer in local community

Partners with nonprofits

Open door policy

OKR operational model

Team based strategic planning

Open office floor plan

Employee resource groups

Employee-led culture committees

Hybrid work model

In-person all-hands meetings

Summer hours