Senior Research Scientist

Reposted 10 Days Ago
Hiring Remotely in Remote, OR, USA
In-Office or Remote
177K-229K Annually
Senior level
eCommerce • Music • Payments • Professional Services • Sharing Economy
The pioneering and go-to online music marketplace to connect millions of recording artists and music producers worldwide
The Role
Lead research and development in generative AI for music, design and deploy ML models, work across teams, and mentor future researchers.
Summary Generated by Built In

About BeatStars

Founded in 2008, BeatStars is the world’s leading music creator platform, powering over 10 million creators across 200 countries. Through its marketplace, publishing, and studio tools, BeatStars helps producers, songwriters, and artists build sustainable careers as music entrepreneurs. The company is pioneering a responsible approach to assistive AI that protects creators’ rights while unlocking new creative possibilities.

Now, with over 10 million monthly active users, we've paid over $450M to our creator community. We continue to support independent musicians with the tools, community, opportunities, and education they need to earn a living doing what they love.

What You’ll Be Doing

We’re looking for a Senior Research Scientist to lead foundational research and applied ML work for creator-focused tools at BeatStars. You’ll design, build, and deploy advanced machine learning systems that directly power creative workflows for music creators.

Responsibilities:

  • Lead research and development in generative and creative AI for music.
  • Design, train, and deploy production-grade ML models.
  • Work closely with a lean, cross-functional team across product and engineering.
  • Translate research ideas into scalable, real-world systems.
  • Maintain clear technical and research documentation.
  • Stay current with advances in ML and AI and apply them to product innovation.
  • Contribute to publications, patents, and long-term research direction.
  • Mentor and guide future research team members.
What You’ll Need
  • BS or MS in Computer Science, Machine Learning, or a related field.
  • Strong Python skills and experience with PyTorch and/or TensorFlow.
  • Proven experience building and deploying ML models in production.
  • Experience with cloud platforms (AWS and/or GCP/RunPod).
  • Familiarity with Docker and modern ML infrastructure.
  • Strong problem-solving skills and ability to work independently.
  • Clear communicator who collaborates well across teams.
Nice to Have
  • Experience with generative AI models in Production.
  • Prior research publications.
  • Passion for music and creative technology.

Benefits

We're a small, growing team working closely together and operating with complete autonomy and freedom. This means you will have a direct impact on any project that you work on, and your success will be felt across the company. Some other perks include:

  • Elite Tier Benefits Program - generous contributions towards medical, dental, and vision for employees and dependents
  • 401(k) Matching
  • FSA/HSA
  • 20 PTO days (+5 Days at 4 years tenure) and routine sick days
  • 10 Company Observed Holidays + 2 Floating Holidays
  • 8 weeks of parental leave paid at 100%
  • Company-sponsored Short Term Disability and Basic Life Insurance
  • Voluntary Benefits (LTD, Additional Life, and 401k)
  • Flexible work hours
  • $70/month tech reimbursement
  • $30/month wellness reimbursement
  • Virtual social events and a sense of community (even online)
  • Global Recognition and Anniversary Program
  • Plenty of opportunities while we grow and scale in a global environment
  • Access to On-Demand Learning Platform

Our general global core working hours are 10 am-2 pm EST Monday through Friday. While we generally have the flexibility to build an 8-hour workday, we ask for flexibility during core hours, as from time to time, it may be needed to attend global calls that cover more than 2 time zones during these hours. We ask folks to schedule events when possible, at least 3 working days in advance.

Compensation:

This salary/OTE range represents the low, middle, and high end of the salary or OTE (Sales roles only) range for this position, and is subject to change. To determine starting pay, we carefully consider a variety of factors, including primary work location and an evaluation of a candidate’s skills, experience, market demands, and internal parity. The range shared on JDs is a broad range to cover multiple regions. Candidates will be given a specific range based on their city/country during the initial phone screen. 

Salary/OTE is just one component of our total rewards package. All regular employees are also eligible for additional benefits and perks that BeatStars offers.

Remote US salary range for this role is $177,000-$229,000.

#BI-REMOTE

Skills Required

  • BS or MS in Computer Science, Machine Learning, or related field
  • Strong Python skills and experience with PyTorch and/or TensorFlow
  • Proven experience building and deploying ML models in production
  • Experience with cloud platforms (AWS and/or GCP/RunPod)
  • Familiarity with Docker and modern ML infrastructure
Am I A Good Fit?
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The Company
HQ: Austin, Texas
70 Employees
Year Founded: 2008

What We Do

Since 2008 BeatStars has been the pioneering and go-to online music marketplace to connect millions of recording artists and music producers worldwide. BeatStars is also the leading artist discovery tool for all the major and independent labels. Most recently, BeatStars partnered with Sony Publishing to launch its publishing arm on the platform. Now, with over 3 million monthly active users, we've paid over $350M to our creator community. We continue to support independent musicians with the tools, community, opportunities, and education they need to earn a living doing what they love.

Why Work With Us

We are disrupting the music tech industry by supporting independent artists' career journeys so that creators have the tools, resources, and education to maximize their earning potential. We are built on a foundation of community. Join our team and feel good about what you're doing and where you're going.

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