Remote Staff Machine Learning Engineer at Warner Music Inc. (~K)

Remote Staff Machine Learning Engineer at Warner Music Inc. (~$79K)

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Employed by Warner Music Inc.

\Nat Warner Music Group is a global group of music makers, music lovers, technological innovators, inspired entrepreneurs, game-changing creatives and passionate team members. Here we turn our dreams into stardom and audiences into fans. We are guided by three core values ​​that underpin everything we do in all diverse businesses. Curiosity is the driving force behind creativity and ingenuity. It promotes innovation and innovation is key to our future. \ n \ n \ n• Collaboration: Making music and bringing it into the world is about the power of originality amplified by teamwork. Like a great song, great ideas travel worldwide. We ignite our passion and build connections across a diverse community of artists, songwriters, partners and fans. \ n \ n \ n• Commitment: Pursuing excellence in teams and talent. Everything about music starts with a leap into the unknown, and we are committed to maintaining our faith, acting in integrity, and offering based on our promises. \n\n\ntechnology is one of the most important parts of our business. Whether you’ve signed up for a new artist. Make sure you provide the right data to Spotify, YouTube, and other digital service providers. Or help artists use modern AI tools and make thoughtful decisions using data-driven insights. Technology plays a valuable role in our success. The Warner Music Group engineering team makes everything a reality. \n\n\nwmg is home to a wide range of artists, musicians and songwriters who drive our success. That’s why we are committed to creating a work environment that we proactively cherish, appreciate and respect. We encourage applications from people with a variety of backgrounds and experiences. Show me your career at wmg and get the best of both worlds. This is an innovative global music company that retains the creative spirit of Nimble Independence. We hire talented machine learning engineers to work with our Data Science and Data Platform teams to build scalable machine learning systems that allow for rapid iteration, experimentation and continuous improvement of modeling efforts. Our ideal candidates have strong ML and data science skills, along with experience and passion for building efficient and robust software. Second, the models for these solutions are end-to-end. Define, design, train, evaluate, launch, maintain and improve along with technology leadership and data scientists. Identify the systems you need and allow for increased model training, iteration, and service capabilities. Next, design, implement and launch these systems. \n* ensure that you can perform modeling experiments and startups with maximum efficiency, quality, reliability, and reproducibility in a large environment with more than 2TB of incoming data per day and a total corpus of over 20pb. Deliverables. \n\n\n\nRequirements:\n* Over 9 years of full-time practical experience building scaled ML systems, training large-scale ML models, or equivalent experiences. \ n*Excellent coding and system design skills. Powerful practical knowledge, practical knowledge of ML theory, and how it affects modeling choices. strategy.\n* Experience with cloud computing services or platforms (preferably AWS)\n* Experience with both Snowflake and Databricks is a plus\n* Bachelor’s Degree or above in a quantitative field\n\n\n\n\n\n\nAs the home to 10K Projects, Asylum, Atlantic Music Group, East West, FFRR, Fueled by Ramen, So are Nonesuch, Parlophone, Sir, Road Runner, Sir, Warner Records, Warner Classic and the world’s best recording labels, Warner Music Group Champions Emerging Artists and Global Superstars. Also, renowned publisher Warner Chapel Music represents genre-wide songwriters and producers through a catalogue of over a million copyrights worldwide. Warner Music Group is also home to the ADA, which supports WMX, an independent community and artist services division. Additionally, WMG counts film and television storytelling powerhouse Warner Music Entertainment among many brands. Major sound. \n \n \n \nlove Do you want to apply with this job? When you apply to LinkedIn, all the information you have placed in your profile will be imported, but you can upload your resume and cover letter. We review all resumes and are interested in working at WMG. \n\n\n\n\n\n\n\n are taking the time to find the best people for \nthanks. We love it here and I think you will. We are proud to be a workplace of equal opportunity and are assessed regardless of race, religious beliefs, color, age, gender, gender identity, gender identity, gender identity, national origin, ancestry, marriage status status, medical condition (genetic trait or cancer), physical or mental disorder, military disorder, veteran, veteran, veteran patient, and expression of race, religious beliefs, religious beliefs, colour, gender, gender identity, gender identity, gender expression, gender identity, gender expression, gender identity, gender expression, and gender expression. Or local laws

\n \n#benefitid \n💰401(k)\n \n🌎Distributed Team\n \n \n \n \n \n \n \n🤓vision Insurance \n \n🦷Dental Insurance \n \n \n \n🏖Unlimited Vacations \n \n \n🏖Matching \n \n🏔Company Retreat \n \n \n🏬Coworking Budget \n \n📚Learning Budget \n \n \n \n🧘Mental Wellness Budget \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \

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