Warner Media, LLC.
Senior Software Engineer - Machine Learning
Warner Media, LLC., New York, New York, us, 10261
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.Roles & ResponsibilitiesWe are looking for a passionate Senior Machine Learning engineer to support, build and scale the personalization and search platforms for the global streaming app Max as well as ongoing and future streaming initiatives. You are excited about working in a fast-moving environment that fosters engineering and operational excellence with continuous development, deployment, experimentation, quality assurance, and collaboration. You will bring an obsession with our customers along with skills for rapid feature iteration. In your role, you will be working in a team of passionate machine learning engineers and applied science researchers contributing to a system that serves 100+ million users worldwide.Contribute to architecting, building and scaling a recommendation system that powers a state-of-the-art personalization experience to users across Max, Discovery+ and other WBD offeringsContribute on building machine learning systems and operations for personalization.Collaborate with applied data science engineers to improve quality, stability, resilience of search and personalization platformsDrive observability, scalability, cost-optimization, and performance tuning and other improvements to recommendations services and modelsCollaborate with platform, content, user data and product partners as Max expands to new markets around the globeAuthor, test, review, and optimize production-level code in Java, Go and Python while executing best practices in version control and code integration.Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly advocating for doing what is right for our customersContribute technical documentation to support project planning, operational excellence, and knowledge sharingWhat To Bring5+ years of industry experienceUniversity degree (B.S. or M.S.) or equivalent industry experience in software engineering, computer science, machine learning or related fields3+ years of distributed systems engineering with a large scale customer base3+ years of experience contributing to machine learning driven systemsPractical knowledge in modern machine learning lifecycleKnowledge of large-scale distributed application architecture, design, implementation and performance tuningStrong architectural and design skills3+ years of programming experience in JavaExcellent written and verbal communications skills, be comfortable to contribute to technical documentation and on-call supportExperience with one of the cloud platforms AWS/GCP/AzureExperience with CI/CD tools like GitHub Actions, Jenkins etc.Experience with Docker and KubernetesFamiliarity with agile practices and processesFamiliarity with search engine technology, such as ElasticSearch/OpenSearchFamiliarity with data analytics platforms such as Databricks or SnowflakePreferred:Hands-on experience with a machine learning platformWorking experience with global teamsProgramming experience in JavaData modeling experienceHow 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.Championing Inclusion at WBDWarner 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 require adjustments or accommodations during the job application and/or recruitment process, please visit our
accessibility page
for instructions to submit your request.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 Warner Bros. Discovery’s total compensation package for employees. Pay Range: $132,300.00 - $245,700.00 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 sick time and vacation.
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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.Roles & ResponsibilitiesWe are looking for a passionate Senior Machine Learning engineer to support, build and scale the personalization and search platforms for the global streaming app Max as well as ongoing and future streaming initiatives. You are excited about working in a fast-moving environment that fosters engineering and operational excellence with continuous development, deployment, experimentation, quality assurance, and collaboration. You will bring an obsession with our customers along with skills for rapid feature iteration. In your role, you will be working in a team of passionate machine learning engineers and applied science researchers contributing to a system that serves 100+ million users worldwide.Contribute to architecting, building and scaling a recommendation system that powers a state-of-the-art personalization experience to users across Max, Discovery+ and other WBD offeringsContribute on building machine learning systems and operations for personalization.Collaborate with applied data science engineers to improve quality, stability, resilience of search and personalization platformsDrive observability, scalability, cost-optimization, and performance tuning and other improvements to recommendations services and modelsCollaborate with platform, content, user data and product partners as Max expands to new markets around the globeAuthor, test, review, and optimize production-level code in Java, Go and Python while executing best practices in version control and code integration.Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly advocating for doing what is right for our customersContribute technical documentation to support project planning, operational excellence, and knowledge sharingWhat To Bring5+ years of industry experienceUniversity degree (B.S. or M.S.) or equivalent industry experience in software engineering, computer science, machine learning or related fields3+ years of distributed systems engineering with a large scale customer base3+ years of experience contributing to machine learning driven systemsPractical knowledge in modern machine learning lifecycleKnowledge of large-scale distributed application architecture, design, implementation and performance tuningStrong architectural and design skills3+ years of programming experience in JavaExcellent written and verbal communications skills, be comfortable to contribute to technical documentation and on-call supportExperience with one of the cloud platforms AWS/GCP/AzureExperience with CI/CD tools like GitHub Actions, Jenkins etc.Experience with Docker and KubernetesFamiliarity with agile practices and processesFamiliarity with search engine technology, such as ElasticSearch/OpenSearchFamiliarity with data analytics platforms such as Databricks or SnowflakePreferred:Hands-on experience with a machine learning platformWorking experience with global teamsProgramming experience in JavaData modeling experienceHow 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.Championing Inclusion at WBDWarner 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 require adjustments or accommodations during the job application and/or recruitment process, please visit our
accessibility page
for instructions to submit your request.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 Warner Bros. Discovery’s total compensation package for employees. Pay Range: $132,300.00 - $245,700.00 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 sick time and vacation.
#J-18808-Ljbffr