Job Url: https://jobright.ai/jobs/info/6982860e0f6f7e7a2cdbc7d2 Job Description: Spotify ยท 2 hours ago Machine Learning Engineer II - Ad Forecasting United States Full-time Remote Mid, Senior Level $149K/yr - $213K/yr 98% STRONG MATCH 100% Exp. Level 100% Skill 68% Industry Exp. Maximize your interview chances Spotify is seeking a Machine Learning Engineer to join their Advertising Product & Technology team, focusing on building a next generation advertising platform. The role involves designing and implementing machine learning systems for ad forecasting, collaborating with various teams to enhance shared systems and pipelines, and applying innovative AI solutions. Audio Cloud Computing Music Music Streaming Podcast Work & Life Balance H1B Sponsor Likely Insider Connection @Spotify 2 email credits available today Discover valuable connections within the company who might provide insights and potential referrals. Get 3x more responses when you reach out via email instead of LinkedIn. Beyond Your Network L V V V W Liz Wiggins & 4 connections From Your Previous Company F F F & 2 connections Previously@undefined and... From Your School F F F & 2 connections @undefined and... Find Any Email Responsibilities Design and implement machine learning systems to predict future ad inventory,demand, and performance Research and apply best practices for driving automation with respect to human review processes Partner with multiple teams to shape and enhance shared systems and pipelines Come up with creative ways to apply AI tools to develop innovative solutions Collaborate with and lead backend engineers, data scientists, data engineers, and product managers to establish baselines, inform product decisions, and develop new technologies Qualification Represents the skills you have Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise. Machine Learning AI Engineering Data Pipeline Development Cloud-native Infrastructure Programming Python Programming Java Programming Scala Microservice Architecture Distributed Systems Data Analysis Adtech Experience Collaboration Skills Problem Solving Required You have professional experience in applied machine learning You have strong technical expertise in application development, microservice architecture, distributed systems and/or data analysis You are proficient in programming languages such as Python, Java, or Scala You are skilled with operating in a cloud-native infrastructure You have experience in developing data pipelines using tools like Apache Beam or Spark Preferred You may have experience with adtech, categorization systems, and evaluation tools / data curation techniques Benefits Health insurance Six month paid parental leave 401(k) retirement plan Monthly meal allowance 23 paid days off 13 paid flexible holidays Paid sick leave