What are the responsibilities and job description for the Research Scientist position at Ghost?
Music ML Senior Research Scientist | Series C | $375M | Top tier Investors
Join the World’s Fastest-Growing Startup in AI Music (Series C)
Ready to help reinvent how the world creates music?
Our client are a Series C, hyper-growth startup backed by top-tier investors — including Lightspeed, Menlo Ventures, Founder Collective, and Nat Friedman — with $375M raised to date and a global team of 120 building the future of generative audio.
The mission?
To unlock musical expression for everyone. Powered by the world’s most advanced AI music model and their breakthrough generative audio workstation, they’re enabling millions — from shower singers to seasoned artists — to create, share, and discover music like never before.
Why You’ll Want to Join
A Revolutionary Creative Platform
They’re reshaping the music industry by making creation accessible to all. You’ll work at the frontier of AI, creativity, and culture — and see your work directly impact millions of users globally.
Series C Stability Startup Impact
With significant funding and a lean 120-person team, you’ll enjoy the best of both worlds:
- High ownership
- Rapid decision-making
- Competitive compensation equity
- A runway backed by leading investors
Cutting-Edge Research Environment
You’ll work side-by-side with the founding team, Physics PhDs, big-tech alumni, MIT faculty, and early Kensho engineers — using an H100/scientist ratio of >100x to push the boundaries of generative audio.
Role: Senior ML Research Scientist
We’re looking for a Music Senior ML Research Scientist to advance the next generation of our clients generative audio models. You’ll own core research initiatives, train state-of-the-art architectures, and help define how music is created in the future.
What you’ll do:
- Lead independent research projects
- Train advanced models in PyTorch
- Optimize training inference across hundreds of H100s
- Develop techniques that make our music generation more appealing and expressive for millions of users
You must have:
- Experience training state-of-the-art models with PyTorch
- Hold a PhD or Masters (ML studies with music/audio focus is ideal)
- Publications in music/audio research
- If you do not have a relevant PhD or Masters you will need professional industry experience in audio or MUSIC ML
- Must have experience in audio generation
- Must have baseline coding ability (this will be tested)
Tech Stack: PyTorch
About the Team
You’ll join a group of world-class scientists and engineers — including audio AI experts, Physics PhDs, MIT faculty members, and one of the youngest Harvard graduates ever.
Benefits
- 401(k) with 3% employer match
- Medical, Dental & Vision (PPO with HSA/FSA options)
- 11 paid holidays unlimited PTO
- 16 weeks paid parental leave
- Creative education stipend
- Commuter allowance
- Daily in-office lunch
Why This Role Matters
This is where breakthrough research meets global cultural impact.
Salary : $275,000 - $300,000