Senior Machine Learning Engineer
165k - 206k USD
Remote
Full Time
#Machine Learning
#Audio
#Generative Models
#Python
#CUDA
#TensorFlow
#PyTorch
#AWS
#Azure
#GCP
#Docker
#Kubernetes
At Splice, we serve as a playground for producers, providing music creators with the essential tools to turn their ideas into reality. We combine a massive catalog of licensed samples with powerful AI and accessible plugins to help artists push their creative output to the next level. Our team operates on the principles of being direct, inclusive, and creator-centric, and we are looking for a Senior Machine Learning Engineer who is ready to collaborate in a remote-first environment. If you are passionate about the intersection of music and technology, we would love to have you join our network of innovators.
What you'll be doing
- You will design, optimize, and implement advanced model architectures specifically for generative audio and music synthesis applications.
- You will work closely with our applied researchers and engineering team to train, fine-tune, and deploy scalable machine learning models into our production environment.
- You will conduct performance benchmarking and experiments to evaluate the quality and accuracy of our models, ensuring they deliver the best possible experience for our users.
What you'll bring
To succeed in this role, you should have a strong technical foundation and a passion for generative AI. We are looking for the following qualifications:
- An advanced degree, such as a Master's or PhD, in Computer Science, Electrical Engineering, or a related field.
- At least two years of hands-on experience working with generative model architectures, specifically including Latent Diffusion Models and Transformer-based architectures.
- Proven experience deploying machine learning models into real-world production environments.
- Strong proficiency in Python and either C++ or CUDA, along with deep expertise in frameworks like PyTorch or TensorFlow.
- Practical experience using cloud platforms like AWS, Azure, or GCP, as well as containerization tools like Docker and Kubernetes.
- A background in music production or audio signal processing is considered a significant plus.
What you'll get
We offer a competitive salary range of $165,000 - $206,000. In addition to your compensation, you will enjoy a variety of benefits designed to support your well-being and professional growth:
- Unlimited vacation policy to ensure you have time to recharge.
- Comprehensive medical, dental, and vision insurance for you and your dependents.
- A 401k retirement plan.
- The freedom of a remote work setup with flexible location options.
- Dedicated funds and programs for your professional development.






