Senior Machine Learning Engineer - Generative Models

October 18

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Splice

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Description

• Design, adapt and optimize cutting-edge model architectures for generative audio/music applications. • Collaborate with other Applied Researchers and Machine Learning Engineers. • Explore and implement core building blocks in generative models. • Contribute to integrating machine learning models into Splice’s products. • Design and run experiments to benchmark the accuracy and quality of trained models. • Stay current with the latest advancements in machine learning. • Document experiments and provide technical guidance and training.

Requirements

• Master's or PhD degree in Electrical Engineering, Computer Science or related Engineering discipline. • Proven ability and track record designing, training, evaluating and deploying machine learning models in production environments. • 2+ years of hands-on experience with generative models architectures in the audio, image or language domains. • Proficiency in Python, C/C++, or CUDA. • Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch). • Hands-on experience with cloud services (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). • Comfortable with software development best practices and version control systems (e.g., Git). • Familiarity with audio signal processing, music information retrieval (MIR), or audio synthesis techniques is a strong plus. • Background or knowledge in music production.

Benefits

• Equal Opportunity Employer • Provides equal employment opportunities to all employees and applicants.