Senior Machine Learning Engineer
Splice
- Location
- United States of America
- Posted
- Salary Range
- 165k - 206k USD
Senior Machine Learning Engineer for generative audio/music applications
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Senior Machine Learning Engineer
Splice
Job Location
Salary Range
165k - 206k USD / YEAR
Job Summary
The Splice AI & Audio Science team is seeking a Senior Machine Learning Engineer to design and optimize cutting-edge model architectures for generative audio/music applications. The role involves collaborating with other researchers and engineers, exploring core building blocks in generative models, and contributing to integrating machine learning models into Splice's products. The ideal candidate has a Master's or PhD degree in Electrical Engineering, Computer Science, or related fields, with 2+ years of experience designing, training, evaluating, and deploying machine learning models in production environments. They should be proficient in Python, C/C++, CUDA, and machine learning frameworks like TensorFlow and PyTorch. The team values creativity, innovation, and collaboration, and offers competitive compensation, equity opportunities, unlimited PTO, comprehensive health insurance, and flexible work options.
JOB TITLE: Senior Machine Learning Engineer
LOCATION: Remote / NY
TEAM INFORMATION:
The Splice AI & Audio Science team is dedicated to pushing the boundaries of artificial intelligence applied to audio data, with the mission to empower music creators everywhere. Being musicians ourselves, we are deeply committed to the use of AI in a creator-centric, ethical and responsible way. Our team consists of passionate and creative individuals who thrive in a collaborative, innovative, and fast-paced environment.
WHAT YOU WILL DO:
Design, adapt and optimize cutting-edge model architectures for generative audio/music applications, leveraging state-of-the-art deep learning techniques for audio/music synthesis.
Collaborate with other Applied Researchers and Machine Learning Engineers to design, train, fine-tune, and deploy scalable models to production.
Explore and implement core building blocks in generative models, such as general Variational Autoencoders (VAEs), Neural Audio Codecs (RVQ / VAE), GANs, Diffusion Models, and Transformer-based architectures.
Contribute to integrating machine learning models into Splice’s products, delivering new and creative experiences for music creators.
Performance Benchmarking and Evaluation**:** design and run experiments to benchmark the accuracy, quality and performance of trained models.
Stay current with the latest advancements in machine learning applied to generative models in the audio domain, incorporating and sharing relevant insights into the applied research process.
Documentation and Knowledge Sharing**:** document experiments, best practices, and lessons learned to facilitate knowledge sharing and maintain reproducibility. Provide technical guidance and training to team members on model training, evaluation, deployment and optimization techniques.
JOB 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, powering real applications.
2+ years of hands-on experience with generative models architectures in the audio, image or language domains. Specific experience with Latent Diffusion Models and Transformer-based architectures is a must.
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).
NICE TO HAVES:
Familiarity with audio signal processing, music information retrieval (MIR), or audio synthesis techniques is a strong plus.
Background or knowledge in music production.
SPLICE BENEFITS:
Compensation & Equity: Competitive pay with annual reviews and equity opportunities.
Time Off: Unlimited PTO to recharge and thrive.
Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents.
Retirement Savings: 401(k) plan with immediate vesting and company match.
Parental Support: 12 weeks of fully paid parental leave for non-birthing parents, and 18-20 weeks for birthing parents.
Flexible Work Options: Work remotely or connect at our office hubs and creative spaces worldwide.
Professional Growth: Annual learning budget, leadership programs, and team ambassador opportunities.
Community & Connection: Inclusive events, team meet-ups, and vibrant Employee Resource Groups.
The national pay range for this role is $165,000 - $206,000. Individual compensation will be commensurate with the candidate's experience.
