Senior Research Scientist, NLP

Job Description

Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That's what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day. Know what our users want? Join us and help Spotify give it to them.

We are looking for a Research Scientist for Spotify's Content Platform organization in the Experience team.

You will be part of an interdisciplinary team focusing on ensuring that the foundations of Spotify technologies are at or above the state of the art. You'll also help push the boundaries for the field and contribute to the wider research community by publishing papers. Our team has strong ties internally to product groups as well as externally to the research community.

~n

What You'll Do
• You will participate in innovative research in one or more of Machine Learning, Natural Language Processing, Information Retrieval, Language Technologies, Content Understanding, Speech Recognition, or Audio Processing
• You will apply your scientific knowledge to analyze and collect data, perform analyses, identify problems, devise solutions and construct methodologies, including metrics and best practices, and conduct experiments to validate these
• You will work on practical applications such as content moderation and understanding, language understanding, and areas related to music, podcasts, and audiobooks
• You will collaborate with other scientists, engineers, product managers, designers, user researchers, and analysts across Spotify to design creative solutions to challenging problems
• You will have product impact, while working on and further developing a long-term research roadmap
• You will maintain a research profile through external engagement such as publishing, giving talks, and being an active community member at top conferences

Who You Are
• You have a PhD in one of computer science, machine learning, natural language processing, data science, speech or related areas
• You have a strong knowledge of NLP, machine learning, evaluation, deep learning, speech, optimization techniques, content moderation or data mining
• You have publications in research communities such as ACL, EMNLP, SIGIR, NeurIPS, Interspeech, ICASSP, ICML, WSDM, WWW, RecSys, KDD, AAAI, or related
• You possess proven hands-on skills in sourcing, cleaning, manipulating, analyzing, visualizing and modeling of real data
• You have a passion for making sense of user behavior and content, especially music, podcast, and audiobook content, using best available methods
• You are a creative problem-solver who is passionate about digging into complex problems and devising new approaches

Where You'll Be
• We are a distributed workforce enabling our band members to find a work mode that is best for them
• Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours.
• Working hours? We operate within the Eastern/NY time zones for collaboration and ask that all be located in that time zone.
• Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.

~n
The United States base range for this position is 147,397 - 210,567, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.

Jobcode: Reference SBJ-d8pmv9-3-143-228-40-42 in your application.