Senior Machine Learning Engineer - Remote

Overview

Splice is a creative platform for people who make music. Serious producers choose Splice Sounds to bring their ideas to life. A subscription to Splice inspires and accelerates creative success for digital music creators with an industry-leading catalog of sounds and samples and an expanding AI stack. With a rent-to-own marketplace of DAWs and plugins, the Splice experience seamlessly integrates into any music production workflow, regardless of DAW (Digital Audio Workstation). Via Splice, an unparalleled team of sound designers and sample creators are fueling the success of a growing global community of chart-topping producers, students, and DIY creators.

In Short

• 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 model performance.
• Stay current with advancements in machine learning applied to generative models.
• Document experiments and provide technical guidance to team members.

Requirements

• Master's or PhD degree in Electrical Engineering, Computer Science or related discipline.
• Proven ability in designing, training, evaluating and deploying machine learning models.
• 2+ years of experience with generative models architectures.
• Proficiency in Python, C/C++, or CUDA.
• Experience with machine learning frameworks like TensorFlow or PyTorch.
• Hands-on experience with cloud services and containerization technologies.

Benefits

• Competitive pay with annual reviews and equity opportunities.
• Unlimited PTO to recharge and thrive.
• Comprehensive medical, dental, and vision coverage.
• 401(k) plan with immediate vesting and company match.
• 12 weeks of fully paid parental leave for non-birthing parents.
• Work remotely or connect at office hubs worldwide.
• Annual learning budget and professional growth opportunities.
• Inclusive events and vibrant Employee Resource Groups.