Spotify - Staff Research Scientist
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Requirements
• You have a Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful. • You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas. • You have publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related. • You have strong coding skills in the following languages/libraries: Python, PyTorch, NumPy. • You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people. • You are enthusiastic about learning more about turning research ideas into products operating at scale. • You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders. • Where You'll Be • We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location. • This team operates within the Eastern Standard time zone for collaboration. • Core working hours are CET 3pm-6pm / EST 9am-12pm. • The United States base range for this position is $203,795 - $291,136 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future. • At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Responsibilities
• Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing. • Run large-scale experiments with access to Spotify’s extensive infrastructure and an audience of more than 700 million monthly active users. • Create practical applications that harness generative technologies, pushing the boundaries of what’s possible in listening experiences. • Collaborate as part of a cross-functional team—working closely with scientists, engineers, product managers, designers, user researchers, and analysts—to craft innovative solutions to complex challenges. • Have a direct impact on Spotify’s products, tools, and services, working on projects that influence the entire organization. • Engage with the broader research community by publishing your findings, delivering talks, and attending top conferences.
Benefits
• Equity options mentioned as part of compensation package: "Equity." • Paid Time Off (PTO) is included with benefits such as vacation time and sick leave, which are also specified but listed under a single heading without bullet points or separate mention for each benefit type in the job posting provided. Therefore, it's not possible to extract individual PTO details from this specific text; however, we can infer that there is some form of paid time off available as part of the benefits package: "PTO." • Insurance coverage included within healthcare and wellness perks mentioned in the job posting. Although insurance itself isn't listed separately, it falls under these categories which are explicitly stated to be a benefit. Therefore we can infer that there is some form of insurance as part of benefits: "Insurance." • Perks such as free food and drinks during work hours mentioned in the job posting provided; however, perks themselves aren't listed separately but rather included under wellness initiatives which are explicitly stated to be a benefit. Therefore we can infer that there is some form of additional benefits or "Perks" available: "Perks." • Remote work options clearly indicated as part of the job offer with an option for permanent remote positions and flexible working hours, including potential occasional office days in New York City when necessary to collaborate. This indicates a hybrid model is offered which includes both benefits from home (remote) and onsite presence: "Remote Work Options."
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