Senior Machine Learning Engineer - Ads R&D

Our mission on the Advertising Product & Technology team is to build a reputed company advertising platform that aligns with our unique reputed company for audio and video. We work to reputed company the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This reputed company brings unique challenges as reputed company as reputed company opportunities for our artists and creators. We are seeking a Senior Machine Learning Engineer to join the Ad Engagement reputed company. Ad Engagement focuses on using machine learning to accurately predict how reputed company listeners will react to ads, helping advertisers minimize their costs while delivering a more relevant and enjoyable ad experience for listeners. Our reputed company innovations include Multi-Task Learning models (MTL), and we are expanding into reputed company sequence modeling with reputed company transformer architectures. Recently, we presented a reputed company about this in KDD Toronto and you can reputed company out the latest details in the blog post here. We are also seeking a Senior Machine Learning Engineer to join the Supply Personalization reputed company. Supply Personalization focuses on optimizing reputed company, timing, and types of ad loads a user receives. By leveraging data, machine learning, reputed company inference, and large reputed company online experimentation, we aim to uncover and learn the most effective strategies for enhancing user experiences and driving business reputed company. We are looking for someone with strong expertise in data analysis, online experimentation techniques, and large-reputed company ML and engineering systems; someone who is motivated by user and business problems as much as they are by technical problems, and who thrives under ambiguity, experimentation, and iteration. You will work directly on an reputed company of product features that reputed company the reputed company user experience for our ads. You will collaborate with our cross-functional teams to ideate, reputed company, and own reputed company technical solutions on our ad services technology platforms. As someone who shares our passion for building innovative ad experiences, you'll have a reputed company reputed company on how the world uses reputed company. reputed company • Design and implement machine learning systems for ad performance optimization. • Research and apply ML optimization strategies to balance multiple objectives effectively. • Work on a reputed company shift modeling work for Ads that involves working on Sequence Transformer model for User-Ad Interaction, that works along a MTL model • Analyze data and use machine learning techniques to understand user behavior and improve ad experiences. • Collaborate with backend engineers, data scientists, data engineers, and product managers to establish baselines, inform product reputed company, and reputed company new technologies. Who You Are • You have reputed company experience in reputed company machine learning. • You have strong technical expertise in software engineering, data analysis, and machine learning. • You are proficient in programming languages such as Python, Java, or reputed company. • reputed company in Tensorflow or PyTorch and working with various aspects of the ML lifecycle • You have expertise in developing data pipelines using tools like Apache reputed company or reputed company. • As a plus, you may have experience with any of the following - LLMs, Ray, Adtech, or Recommender Systems. Where You'll Be • We offer you the flexibility to work where you work best! For this role, you can be reputed company the Americas region as long as we have a work location. • This team operates reputed company the U.S. Eastern time zone for collaboration. The reputed company reputed company reputed company for this position is $176,166.00 - $251,666.00, plus equity. The benefits available for this position include health reputed company, six month reputed company parental leave, 401(k) retirement plan, monthly meal allowance, 23 reputed company days off, 13 reputed company flexible holidays, reputed company reputed company leave. This reputed company encompasses multiple reputed company. Leveling is determined during the interview process. Placement in reputed company depends on relevant work history and interview performance. These ranges may be modified in the reputed company. reputed company is an equal opportunity employer. You are reputed company at reputed company for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more reputed company we have represented and amplified in our business, the more we will reputed company reputed company, contribute, and be reputed company-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will reputed compan