Software Development Engineer IV at Discovery Direct-to-Consumer

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Location:  

Bellevue, WA, US, 98004

Date:  Mar 5, 2021

Req ID:  1681

Description: 

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.

Overview

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.

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 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.

Requirements

• 7+ 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, ...).
• 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.
• Must have the legal right to work in the United States


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

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.

EEO is the Law
Pay Transparency Policy Statement
California Job Applicant Privacy Policy

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

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Technology we use

  • Engineering
    • GolangLanguages
    • PHPLanguages
    • PythonLanguages
    • RubyLanguages
    • ReactLibraries
    • ReduxLibraries
    • AngularJSFrameworks
    • Node.jsFrameworks
    • MongoDBDatabases
    • MySQLDatabases

Location

Located right in Downtown, with countless eateries and shops nearby, and a couple blocks away from the lush Downtown Park
Inside Look at Discovery Digital's Engineering Team
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What are Discovery Direct-to-Consumer Perks + Benefits

Culture
Volunteer in local community
Annual Impact Day where the office volunteers together. Opportunities to volunteer through People Portal. New Hires are given $25 to donate to cause of their choice. Discovery offers matching programs
Partners with Nonprofits
RISE, Turn Up Fight Hunger, Adopt a Family, Oceana, Discovery Project CAT, Give a Little TLC, Inspire a Difference, Building a Difference, Talent Unlimited.
Friends outside of work
Eat lunch together
Intracompany committees
Discovery Women's Network, ableDisability, Multicultural Alliance, Discovery PriDe, Parents at Discovery, Discovery GreenD, Generation D, Discovery Veteran's Association.
Daily sync
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Diversity
Documented equal pay policy
Dedicated Diversity/Inclusion Staff
Unconscious bias training
Someone's primary function is managing the company’s diversity and inclusion initiatives
Diversity Employee Resource Groups
Discovery Women's Network, ableDisability, Multicultural Alliance, Discovery PriDe, Generation D, Discovery Veteran's Association.
Hiring Practices that Promote Diversity
Diverse slate required for leadership roles.
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Pet Insurance
Wellness Programs
Team workouts
Mental Health Benefits
Retirement & Stock Options Benefits
401(K)
401(K) Matching
Company Equity
Employee Stock Purchase Plan
Performance Bonus
Match charitable contributions
Child Care & Parental Leave Benefits
Generous Parental Leave
Flexible Work Schedule
Remote Work Program
Family Medical Leave
Adoption Assistance
Vacation & Time Off Benefits
Generous PTO
Paid Volunteer Time
Paid Holidays
Paid Sick Days
Perks & Discounts
Casual Dress
Commuter Benefits
Happy Hours
Parking
Relocation Assistance
Professional Development Benefits
Job Training & Conferences
Tuition Reimbursement
Diversity Program
Lunch and learns
Cross functional training encouraged
Promote from within
Mentorship program
Continuing Education stipend
Online course subscriptions available
Paid industry certifications
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