Senior Machine Learning Engineer - Generative Models (Remote)

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Requirements:

• Master's or PhD degree in Electrical Engineering, Computer Science or related discipline.
• Proven track record in designing, training, evaluating, and deploying ML models in production.
• 2+ years of hands-on experience with generative model architectures in audio, image, or language domains.
• Specific experience with Latent Diffusion Models and Transformer-based architectures.
• Proficiency in Python, C/C++, or CUDA and strong skills in ML frameworks like TensorFlow and PyTorch.
• Experience with cloud services such as AWS, Azure, or GCP and containerization technologies like Docker and Kubernetes.
• Familiarity with software development best practices and version control systems, e.g., Git.

Responsibilities:

• Design, adapt, and optimize cutting-edge model architectures for generative audio/music applications.
• Collaborate with Applied Researchers and ML Engineers to design, train, fine-tune, and deploy scalable models.
• Explore and implement core building blocks in generative models such as VAEs, Neural Audio Codecs, GANs, and Transformers.
• Integrate ML models into Splice’s products to enhance experiences for music creators.
• Conduct performance benchmarking and evaluation to assess accuracy and quality of models.
• Stay updated with advancements in machine learning and share insights with the team.
• Document experiments and provide technical guidance to team members.