Warner Bros. Discovery
Hybrid

Senior Software Engineer, Machine Learning Platform

Sorry, this job was removed at 4:45 p.m. (CST) on Monday, January 23, 2023
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Employer Provided Salary: $129,500-$240,500 Annually
Salary data is provided by the employer. Please note this is not a guarantee of compensation.

Every great story has a new beginning, and yours starts here.
Welcome to Warner Bros. Discovery... the stuff dreams are made of.
Who We Are...
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next...
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
Senior Software Engineer, Machine Learning Platform
We build machine learning powered recommendation, search, and classification tools used across CNN's platforms and experience. This year we have already launched two new products- "Watch Next", a video recommendation experience, and "Related Articles", an article recommendation feed.
We are looking for an experienced software engineer to help us significantly scale how we experiment, build, and collaborate on ML-based products. The team you would join operates and optimizes our first ML platform to help accelerate our experimentation and model production, and we would love for you to join us in making a huge impact on the daily habits of CNN users and on our overall organization.
Location: NY, SF, LA, Atlanta (preferred NY)
Manager: Ailish Byrne
Here's some of the problems you'll be helping us solve:

  • The news cycle moves fast. What can we learn from readers' engagement with breaking news to recommend journalism which deepens their understanding?
  • What's the best way for a machine learning group to work closely with journalists and editors to keep our audience engaged and informed?
  • How can we foster innovation and enable rapid prototyping and delivery, closing the loop between model idea, development, experimentation and production?
  • What is the right balance between moving fast now and building a common set of platforms and tools to allow teams to move more quickly in the future?


What You'll Do

  • Partner with machine learning engineers on your team to productionalize training, testing, and deployment of new models
  • Collaborate with other platform and machine learning engineers to develop and improve core components, infrastructure and architecture of our ML platform to train, deploy, and serve models at scale
  • Author, test, review, and optimize production quality code in Python and Golang while following best practices in IaC, version control, and continuous delivery
  • Use and build upon open-source cloud computing technologies
  • Collaborate with data scientists, machine learning engineers, product teams and other key stakeholders and drive ML projects from conception to completion


Who You Are

  • You can design and build real time distributed systems for machine learning at scale.
  • You are excited about working with machine learning teams to architect and implement tools and infrastructure to turn their ideas into shipped products and features. You're even more excited about finding ways to make all of it faster, easier to understand, more efficient, and more self-service.
  • You enjoy keeping up with emerging tech, but get more satisfaction from building things with real user impact.
  • You understand the constraints of working with a growing team and thrive in an environment that is fast-paced and sometimes scrappy.
  • You understand that working with user data in recommendations or other systems comes with a host of privacy and security concerns, and you are both creative and principled in how you approach it.
  • You can work independently when needed, and can contribute to multiple team projects simultaneously.
  • You have a deep curiosity and are proactive in seeking innovative solutions to business problems.
  • You believe in iterating quickly, turning ideas into deployable code. You know the cost of cutting corners and ensure that moving fast does not lead to operational chaos.
  • You know when it makes sense to move fast and accrue technical debt. You know when to take the time to do things right from the start and when it is time to address technical debt.
  • You are an efficient communicator with your team and collaborators. You know when and why to offer feedback, to get help, or to advocate for your ideas.
  • You have collaborated with others on a team to design and build web scale distributed systems.


Things You Should Know

  • How to communicate effectively with distributed, remote teams
  • How to write robust code in Python, Golang or an equivalent modern programming language
  • How to interact with databases, ideally relational
  • How to deploy services to a cloud platform
  • How to containerize (Docker) and work with container-orchestration systems such as Fargate
  • How to work with an IaC tool like Terraform


Things You Might Know

  • Prior experience collaborating with data scientists, machine learning engineers, and product stakeholders on machine learning products.
  • Commonly used machine learning frameworks (like Keras, PyTorch or TensorFlow) and libraries (like scikit-learn)
  • Machine learning tools such as Sagemaker, MLFlow and Metaflow
  • Graph databases
  • How to take a product problem and choose the right ML approach to prototype, evaluate, and tweak a solution quickly before taking it to production scale
  • Common architectures and approaches to creating ML training and inference systems that operate on streams of real-time data rather than batch
  • If you don't know any of these, that's OK- you'll get the opportunity to learn them on the job once you join!


How We Get Things Done...
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
The Legal Bits...
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. $129,500.00 - $240,500.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO).
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
If you're a qualified candidate with a disability and you need a reasonable accommodation in order to apply for this position, please contact us at [email protected].

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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
Employee awards
Flexible work schedule
Remote work program
Diversity
Documented equal pay policy
Dedicated diversity and inclusion staff
Mandated unconscious bias training
Diversity manifesto
Diversity employee resource groups
Hiring practices that promote diversity
Diversity recruitment program
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability insurance
Dental insurance
Vision insurance
Health insurance
Life insurance
Pet insurance
Wellness programs
Team workouts
Mental health benefits
Transgender health care benefits
Wellness days
Abortion travel benefits
Financial & Retirement
401(K)
401(K) matching
Company equity
Employee stock purchase plan
Performance bonus
Charitable contribution matching
Pay transparency
Child Care & Parental Leave Benefits
Childcare benefits
Generous parental leave
Family medical leave
Adoption Assistance
Company sponsored family events
Fertility benefits
Vacation & Time Off Benefits
Unlimited vacation policy
Paid volunteer time
Sabbatical
Paid holidays
Paid sick days
Flexible time off
Bereavement leave benefits
Company-wide vacation
Office Perks
Commuter benefits
Free snacks and drinks
Company-sponsored happy hours
Onsite office parking
Relocation assistance
Home-office stipend for remote employees
Meditation space
Mother's room
Onsite gym
Professional Development Benefits
Job training & conferences
Tuition reimbursement
Lunch and learns
Promote from within
Mentorship program
Continuing education stipend
Online course subscriptions available
Customized development tracks
Paid industry certifications
Personal development training
Virtual coaching services

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