Research Engineer
About BeatStars
Founded in 2008, BeatStars is the world’s leading music creator platform, powering over 10 million creators across 192 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.
About the Team
Creator Tools, formerly Lemonaide before the BeatStars acquisition, develops ethical generative AI technology for music creation, building tools that allow producers and creators to generate music using AI models trained with explicit consent, attribution, and compensation. The team focuses on integrating AI into BeatStars’ platform in a way that enhances creativity while preserving creator ownership, rights management, and monetization of AI-assisted music.
What You’ll Be Doing
We’re looking for a Research Engineer (flexible on level) who thrives at the intersection of research and production. This role is ideal for someone who can both publish ideas and ship code.
Building and deploying ML pipelines into production that power real creator workflows
Scaling ML research into products used by millions of artists and producers
Leading your own research initiatives from idea → prototype → production
Optimizing, improving, and maintaining high-performance ML systems
Working daily in a small, highly collaborative team across Product, Engineering, and ML
Contributing to the next generation of AI-driven music creation tools
You won’t just write research code. You’ll ship it. You’ll scale it. And you’ll see creators use it.
What You’ll Need
PhD (or equivalent experience) in Machine Learning, especially around building and deploying ML models in scalable production environments
Demonstrated experience shipping ML features that are actively used by customers, not just prototypes or notebooks
Experience training, evaluating, and deploying models end-to-end (data preprocessing → training → validation → inference → monitoring)
Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX)
Experience designing scalable inference systems (batch and/or real-time) and optimizing for latency, throughput, and cost
Familiarity with distributed training, model versioning, experiment tracking, and reproducible pipelines
We’re flexible on seniority. Exceptional candidates with strong internships, research contributions, or open-source work are encouraged to apply — especially if you’ve shipped real ML systems or contributed meaningfully to applied ML projects.
Nice to Have
Publications or conference participation (e.g., ISMIR, ICASSP, NeurIPS, ICLR, ICML, etc.)
Background in music tech, audio ML, or generative models
Experience with research labs (e.g., UPF, CCRMA, CMU, GTCMT, IRCAM, etc.)
Experience working in ML-first or research-driven environments with a strong culture of experimentation
We don’t care about specific stacks. We care that you can build.
Benefits
We're a small and growing team working together closely 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 and by our creators. 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
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. Salary/OTE is just one component of our total rewards package. All regular employees are also eligible for additional benefits and perks that BeatStars has to offer.
Remote US salary range for this role is $180,000 - $200,000.
#BI-REMOTE
Apply Now
Founded in 2008, BeatStars is the world’s leading music creator platform, powering over 10 million creators across 192 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.
About the Team
Creator Tools, formerly Lemonaide before the BeatStars acquisition, develops ethical generative AI technology for music creation, building tools that allow producers and creators to generate music using AI models trained with explicit consent, attribution, and compensation. The team focuses on integrating AI into BeatStars’ platform in a way that enhances creativity while preserving creator ownership, rights management, and monetization of AI-assisted music.
What You’ll Be Doing
We’re looking for a Research Engineer (flexible on level) who thrives at the intersection of research and production. This role is ideal for someone who can both publish ideas and ship code.
Building and deploying ML pipelines into production that power real creator workflows
Scaling ML research into products used by millions of artists and producers
Leading your own research initiatives from idea → prototype → production
Optimizing, improving, and maintaining high-performance ML systems
Working daily in a small, highly collaborative team across Product, Engineering, and ML
Contributing to the next generation of AI-driven music creation tools
You won’t just write research code. You’ll ship it. You’ll scale it. And you’ll see creators use it.
What You’ll Need
PhD (or equivalent experience) in Machine Learning, especially around building and deploying ML models in scalable production environments
Demonstrated experience shipping ML features that are actively used by customers, not just prototypes or notebooks
Experience training, evaluating, and deploying models end-to-end (data preprocessing → training → validation → inference → monitoring)
Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX)
Experience designing scalable inference systems (batch and/or real-time) and optimizing for latency, throughput, and cost
Familiarity with distributed training, model versioning, experiment tracking, and reproducible pipelines
We’re flexible on seniority. Exceptional candidates with strong internships, research contributions, or open-source work are encouraged to apply — especially if you’ve shipped real ML systems or contributed meaningfully to applied ML projects.
Nice to Have
Publications or conference participation (e.g., ISMIR, ICASSP, NeurIPS, ICLR, ICML, etc.)
Background in music tech, audio ML, or generative models
Experience with research labs (e.g., UPF, CCRMA, CMU, GTCMT, IRCAM, etc.)
Experience working in ML-first or research-driven environments with a strong culture of experimentation
We don’t care about specific stacks. We care that you can build.
Benefits
We're a small and growing team working together closely 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 and by our creators. 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
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. Salary/OTE is just one component of our total rewards package. All regular employees are also eligible for additional benefits and perks that BeatStars has to offer.
Remote US salary range for this role is $180,000 - $200,000.
#BI-REMOTE
Apply Now