Every great story has a new beginning, and yours starts here.Welcome to *** 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 Staff Machine LearningEvery great story has a new beginning, and yours starts here.Welcome to *** 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.
Every great story has a new beginning.
We're excited to announce that Discovery and *** *** have combined to become *** Discovery. We're a premier global *** and entertainment company offering audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, sports, news, streaming and gaming. Our mission is simple. To be the world's best storytellers with world-class products for consumers.
From brilliant creatives to technology trailblazers and beyond, join us as we step into the next chapter.
*** Discovery's DTC technology and product organization sits at the intersection of tech, entertainment, and everyday utility. We are continuously leveraging new technology to build immersive and interactive viewing experiences. Our platform covers everything from search, content catalog, and video transcoding, to personalization, global subscriptions, and more. We are committed to delivering unique and quality user experiences, ranging from video streaming to applications across connected TV, mobile, web and consoles. As a pure tech organization, we are essential to *** Discovery's continued growth, building world-class streaming products from the ground-up for our iconic brands like *** Max, Discovery Channel, *** , Food Network, HGTV, Eurosport, MotorTrend, and many more.
The JobWe are hiring Senior Machine Learning Engineers to join the ML Platform 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 WBD 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.
What the ideal candidate looks like:
Responsibilities:- Architect, build and scale a Machine Learning Platform that powers a state of the art ML model lifecycle management experience to users across Max, *** , Discovery+ and other WBD offerings.
- Collaborate with other ML/Ops engineers to develop and improve core components, infrastructure and architecture to train, deploy and serve models at scale
- Lead architecture improvements for our ML Platform and infrastructure
- Collaborate with data scientists, engineers, product teams and other key stakeholders and drive ML projects from conception to completion
- Author, test, review, and optimize production-level code in Python, Go and Java while executing best practices in version control and code integration
- Use and build upon open-source cloud computing technologies
- Participate and support engineering leaders in strategic planning and demonstrate good judgment in setting and delivering against strategic goals for the team
- Mentor, i *** uence engineers across organizations and lead by example with high quality examples of your work at the organization level
- Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers
Requirements:- 10+ years of experience designing, building, deploying, testing, maintaining, monitoring and owning scalable, resilient and distributed machine learning systems and platforms.
- Full proficiency in all aspects of the machine learning life cycle, including model architectures, 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, Fltye).
- Knowledge of Feature Stores (e.g. Feast, Tecton, Feathr).
- 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 ser *** observability, instrumentation, monitoring and alerting.
- Experience with Generative AI models, processes, tools and frameworks
- Experience building custom components at each step of the ML model lifecycle
- 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).
- Deep understanding of ML techniques and algorithms/architectures (supervised/unsupervised/semi-supervised, deep learning, generative).
- Experience with recommendation systems and search to personalize the experience for millions of users across million items.
- 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 WBD's success and the daily viewing experience for millions of users, please connect with us, we would love to chat with you!
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. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of *** Discovery's total compensation package for employees. Pay Range: $159,600.00 - $296,400.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, *** 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 sick time and vacation.
*** 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 and you require adjustments or accommodations to search for a job opening or apply for a position, please contact us at [Please reply using Staff Me Up].