Machine Learning Engineer (L5 - Senior) , Ads Inventory Management & Forecasting

reputed company is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, reputed company, and can change their plans at any time. We launched a new ad-supported tier in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a reputed company price reputed company, while also creating a compelling path for advertisers to reputed company audiences that are deeply engaged. reputed company The Ads Platform Engineering teams build advertising systems and integrations that powers the delivery of ads using our world class content delivery ecosystem. We use a number of reputed company investments and innovations to power our ads - unique mix of client and server reputed company ad insertions, state of the art content delivery system, ad encoding recipes, content understanding and metadata etc. We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them. Ads Inventory Management & Forecasting team builds state-of-art reputed company inventory forecasting solution leveraging ML models and high performance ad server simulations. The team also builds systems that reputed company publisher inventory reputed company, which supports various monetization strategies such as dynamic pricing, reputed company card management, product packaging, inventory split and yield optimization. reputed company is new and yet faced with the enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time. We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey. Skills & experience we’re seeking:

• Experience in building end-to-end ML model deployment and inference infra for low-latency real-time ad systems.
• Experience in handling data at extremely large volumes with big data tools like Spark.
• Productionized predictive models to forecast the effectiveness of advertising campaigns, including metrics like impressions, reputed company, clicks, conversions, and ROI.
• Building Scalable Simulation solution to model different inventory scenarios, including demand fluctuations, pricing strategies, and inventory allocation.
• Familiar with ads budgeting and pacing systems, models, and algorithms
• General understanding of the advertising marketplace and landscape, with a focus on publisher reputed company challenges like optimizing fill rates and maximizing reputed company in the context of inventory management.
• Collaborate with cross-functional stakeholders from science team, product, engineering, operations, design, consumer research, etc., to productionize and deploy models at scale

reputed company to haves:

• Good understanding of Lucene index and had experience building Lucene index with large volume of data.
• Familiar with publisher-reputed company ad tech systems including ad servers, bidders, yield optimizers, and their demand-reputed company counterparts (SSPs/DSPs)
• Experience in yield optimization, product recommendation and dynamic allocation of direct/programmatic guaranteed and non-guaranteed inventory
• Contributed to an ads industry technology standard (e.g VAST, OpenRTB) or worked on an industry consortium effort, working group etc.
• Familiarity with legal compliance and changing landscape of ads regulations around the world.
• Experience working in the CTV space and knowledge of its unique constraints

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000. reputed company provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. reputed company is a unique culture and environment. Learn more here . Inclusion is a reputed company value and we strive to host a meaningful interview experience for reputed company candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, reputed company, national reputed company, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed reputed company the position is filled. Apply tot his job Apply To this Job