Jobs
>
New York City

    Staff Machine Learning Engineer - New York, United States - Warner Bros. Discovery

    Warner Bros. Discovery
    Warner Bros. Discovery New York, United States

    4 weeks ago

    Default job background
    Description
    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.


    Max is where storytelling takes center stage and where creatives find a home with the support and resources to do their best work, no matter the genre or format.

    Whatever the viewer wants to watch is front and center and more of what they crave is easily discovered.

    It is where our exclusive Max Originals and iconic entertainment brands thrive, with HBO, HBO Max, Warner Bros., DC, Turner Classic Movies, Cartoon Network and more delivering the greatest array of series, movies, and specials for audiences of all ages.

    HBO Max originally launched in the United States in May 2020 and introduced a lower priced, advertising-supported tier in June 2021.

    It rolled out globally across Latin America and the Caribbean in 2021, followed by its first European launches in the Nordics and Spain later that year.

    In May 2023, Warner Bros. Discovery introduced Max, an enhanced streaming platform, in the U.S.

    HBO Max is currently available in 46 countries and there are plans for the continued global expansion of Max in 2024.

    Staff MLE, Content Recommendation , Content Discovery

    Location:
    S F Bay Area, N ew Y ork, Seattle, Burbank

    Every great story has a new beginning.

    We're excited to announce that Discovery and WarnerMedia have combined to become Warner Bros. Discovery.

    We're a premier global media 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.

    Warner Bros. 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 Warner Bros.

    Discovery's continued growth, building world-class streaming products from the ground-up for our iconic brands like HBO Max, Discovery Channel, CNN, Food Network, HGTV, Eurosport, MotorTrend , and many more.


    About You:


    We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming apps.

    You will be in the unique role of acting as a leader who can work seamlessly with modeling and engineering teams and can build and contribute to architecting a system that serves millions of users worldwide.

    As an engineering leader, you are excited about working in an environment that fosters innovation via prototyping, development, experimentation and productionalization .

    You will bring the right balance between rapid feature iteration and building a common set of platforms and tools to move quickly in the future.


    Responsibilities:
    Architect, build and scale a recommendation system that powers a state of the art search & personalization experience to users across Max, HBO, 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

    Collaborate with data scientists, engineers, product teams and other key stakeholders and drive ML projects from conception to completion

    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, influence 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:
    8 + years of industry experience, with 4+ years as tech lead experience (preferred)

    Deep practical knowledge of large-scale recommender systems, or large scale ML ranking/retrieval/targeting systems

    Knowledge of large-scale distributed application architecture, design, implementation and performance tuning

    Good practical knowledge in modern machine learning lifecycle.

    5+ years of programming experience using Python/Java with ability to rapidly prototype ideas and refine towards production.

    Ability to drive roadmap and directions of scalable production quality systems end-to-end.

    Excellent written and verbal communications skills, be comfortable presenting to large audiences

    Advanced degree (M.S., or Ph.
    D.), or equivalent industry experience in software engineering, computer science, machine learning or related fields

    Experience with one of the cloud platforms AWS/GCP/Azure

    Experience with CI/CD tools like GitHub Actions, Jenkins etc

    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 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 WBD

    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 and you require adjustments or accommodations to search for a job opening or apply for a position, please contact us at


    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:
    $145, $270,400.00 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.
  • Harnham

    Machine Learning Engineer

    1 week ago

    Harnham New York, United States

    Machine Learning Engineer · Fully Remote · $70-90 Hourly. · 12 Month Contract · A largely sustainable investment banking company is looking for a Machine Learning Engineer to join their team on a contract-to-hire basis. Within this role, you will be working with cutting-edge tech ...

  • Harnham

    Machine Learning Engineer

    4 weeks ago

    Harnham New York, United States

    Machine Learning Engineer - Manufacturing · Remote, United States · $170,000 - $200,000 base + equity · Our client, a pioneering technology company dedicated to advancing the understanding of radio spectrum and wireless signals, is seeking a Machine Learning Engineer eager to ...

  • FORDER I.T.

    Machine Learning Engineer

    3 weeks ago

    FORDER I.T. New York, United States

    We are currently seeking a talented and innovative Machine Learning Developer to join our clients dynamic team. In this role, you will collaborate closely with our researchers to leverage your expertise in machine learning and software engineering. As a Machine Learning Developer ...

  • PSYKHE AI

    Deep-Learning Engineer

    3 weeks ago

    PSYKHE AI New York, United States

    At PSYKHE AI, we use deep learning, and psychographic attribution, to deliver a next-generation personalization solution for ecommerce. We serve both our retail clients and their end-consumers. This is a contract role with the potential to develop into permanent with equity and b ...

  • Supernormal

    Machine Learning Engineer

    3 weeks ago

    Supernormal New York, United States

    About the role · Join a small and mighty team at Supernormal working on pulling the future of work closer to the present. We're a rapidly growing platform solving a real need for thousands of people every day. As an early engineer at Supernormal, you'll play a major role in buil ...

  • Ultralytics

    Machine Learning Engineer

    3 weeks ago

    Ultralytics New York, United States

    Who We Are · At Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. If you're obsessed with AI, eager to make an impact on the world and thrive in dynamic, high-intensity ...

  • Hexaware Technologies

    Lead Machine Learning Engineer

    5 days ago

    Hexaware Technologies New York, United States Full time

    Description · Machine Learning Engineer for Audio Processing · We seek a Lead Machine Learning Engineer responsible for developing and optimizing Machine Learning Models along with technical work including audio data processing, pre-processing, and feature extraction. The candi ...

  • Strativ Group

    Senior Machine Learning Engineer

    6 days ago

    Strativ Group New York, United States

    Machine Learning Engineer · -> $130-150k % equity · Strativ Group are currently partnered with an exciting AI/Fintech startup who are using Generative AI to transform the world of financial intelligence. They are looking for a Machine Learning Engineer to join the team to drive i ...

  • Next Ventures

    Principal Machine Learning Engineer

    3 weeks ago

    Next Ventures New York, United States

    An early stage, seed funded start up based in New York is seeking a Principal Machine Learning Engineer to join their team. · The platform relies on an advanced recommendation system to allow users to discover and share travel and dining destinations with their network and friend ...

  • StaffHost digital

    Senior Machine Learning Engineer

    4 days ago

    StaffHost digital New York, United States

    Senior Machine Learning Engineer - Renewable Energy · Hybrid - New York · $145K - $180K · StaffHost has partnered with a very established global business they are on the lookout for a Machine Learning Engineer to join their AI team. · Key Skills & Experience Required · Hands-on d ...

  • Disney Direct to Consumer

    Lead Machine Learning Engineer

    2 weeks ago

    Disney Direct to Consumer New York, United States Regular

    Job Summary: · On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming our media business for the future. Whether that's evolving our streaming and digit ...

  • Skale

    Senior Machine Learning Engineer

    5 days ago

    Skale New York, United States

    A growing legal AI startup is growing their founding ML team in New York. We're hiring a Senior Machine Learning Engineer to work on complex problems with large language models and explainable AI. The founders are all technical, with a successful track record. · You will design ...

  • EY

    AI/Machine Learning Engineer

    5 days ago

    EY New York, United States

    The opportunity · Our Artificial Intelligence and Data teamhelps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solv ...

  • Rippling

    Staff Machine Learning Engineer

    2 weeks ago

    Rippling New York, United States

    About Rippling · Rippling is the first way for businesses to manage all of their HR & IT—payroll, benefits, computers, apps, and more—in one unified workforce platform. · By connecting every business system to one source of truth for employee data, businesses can automate al ...

  • Disney Direct to Consumer

    Lead Machine Learning Engineer

    2 weeks ago

    Disney Direct to Consumer Prince, United States

    On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming our media business for the future. Whether that's evolving our streaming and digital products in n ...

  • Skale

    Senior Machine Learning Engineer

    4 days ago

    Skale New York, United States

    We're partnered with an LLM-driven startup in the responsible AI space, who are tackling problems in AI detection, RAG, hallucination detection and stylometry. Backed by top tier investors and the founding team come from the likes of Meta, Uber and Microsoft. · You'll need: · De ...

  • PayPal

    Senior Machine Learning Engineer

    2 weeks ago

    PayPal New York, United States Full time

    Description · : Subsidiary: PayPal Travel Percent: 0-PayPal is committed to fair and equitable compensation practices.Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.The total compensation for this pr ...

  • Genentech, Inc

    Principal Machine Learning Engineer, Infrastructure

    2 weeks ago

    Genentech, Inc New York, United States Full time

    The Position · At Genentech Computational Sciences (gCS) Prescient Design, we are at the forefront of employing machine learning to revolutionize drug discovery, adopting novel methods, techniques, and infrastructure to transform the field. Our Engineering team is seeking engine ...

  • owl

    Staff Software Engineer, Machine Learning

    3 weeks ago

    owl New York, United States

    *We are not working with recruitment agencies at this time* · enables insurers to fight illegitimate claims at scale while removing human bias from the process. Our clients are the top insurance companies across North America and are getting incredible results through our AI-powe ...

  • Stripe

    Machine Learning Engineer, Payment Intelligence

    5 days ago

    Stripe New York, United States Full time

    About Stripe · Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is ...