Full-Time

Machine Learning Engineer

Splice

Splice

201-500 employees

Royalty-free sounds platform

AI & Machine Learning

$165,000 - $206,000

Junior, Mid

Remote in USA

Required Skills
Kubernetes
Microsoft Azure
Python
Tensorflow
CUDA
Git
Pytorch
Docker
AWS
Google Cloud Platform
Requirements
  • Master's degree in Electrical Engineering, Computer Science or related Engineering discipline.
  • Previous experience designing, training and deploying machine learning models in production environments, powering real applications.
  • Proficiency in programming languages such as Python, C/C++, or CUDA. Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Experience with model optimization techniques, including quantization, pruning, and distillation.
  • Hands-on experience with cloud services (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
  • Familiarity with software development best practices and version control systems (e.g., Git).
  • Experience with continuous integration/continuous deployment (CI/CD) pipelines is a plus.
Responsibilities
  • Model optimization
  • Model Analysis and Profiling
  • Model quantization and compression
  • Performance Benchmarking and Evaluation
  • Documentation and Knowledge Sharing

Music starts at Splice. With a trusted library of over 2 million samples paired with technique-based learning and connected instruments, Splice is making music creation a more fulfilling and empowering experience for all - whether you’re creating a soundtrack for Tik Tok, making that track in your bedroom or just looking for the sound in your head. Splice is a global community of producers, innovators and musicians offering creative solutions for creative challenges.

Company Stage

Series D

Total Funding

$129.8M

Headquarters

New York, New York

Founded

2013

Growth & Insights
Headcount

6 month growth

0%

1 year growth

3%

2 year growth

-2%