smule
Internship - Machine Learning Engineer
Salt Lake City, Utah, United States · Intern · Internship
Sponsorship not specifiedDetected 20 days ago
PythonAlgorithmsCI/CDDevOpsMachine LearningDeep LearningData EngineeringLLMsMLOpsA/B TestingSystems EngineeringElectrical EngineeringTest AutomationResearch
About the role
- You will work closely with research scientists to bring models off the bench and into scalable, reliable systems that serve millions of users.
- We strongly encourage candidates with non-traditional backgrounds to apply.
Responsibilities
- Design, build, and maintain production ML pipelines encompassing data ingestion, feature engineering, model training, evaluation, and deployment.
- Optimize models for production constraints including latency, throughput, memory footprint, and cost, using techniques such as quantization, distillation, pruning, and efficient serving architectures.
- Collaborate with research scientists to integrate new model architectures and training techniques into production systems with minimal friction.
- Build and improve CI/CD pipelines for ML, including automated testing, validation gates, and staged rollouts.
- Manage compute infrastructure and costs, making informed tradeoffs between performance, reliability, and budget.
Requirements
- Degree (B.S., M.S., or Ph.D.) in Computer Science, Software Engineering, Electrical Engineering, or a related technical discipline, or currently pursuing one.
- Ability to reason about tradeoffs between latency, throughput, cost, and model quality.
- The ideal candidate is a strong engineer first, with deep practical knowledge of ML systems, a passion for reliability, and an eye for performance.
Nice to have
- Experience serving large language models or other generative models at scale.
- Familiarity with audio/music processing pipelines and real-time inference constraints.
- Experience with Bayesian optimization, bandit algorithms, or adaptive experimentation platforms.
- Contributions to open-source ML infrastructure projects.
Benefits
- Implement robust monitoring, alerting, and observability for deployed models, covering data drift, prediction quality, and system health.
- We are looking for a Machine Learning Engineer to own the end-to-end lifecycle of ML models in production at Smule, from training and optimization through deployment, monitoring, and iteration.
Company info
- We are committed to creating an inclusive environment for all employees and applicants.
Equal opportunity
- If you require a reasonable accommodation during the application or interview process, please let us know.
This listing is sourced directly from smule's careers page and normalized into a canonical job model.