Internship - Machine Learning Engineer

reputed company has been on a mission to bring the world together through music since 2008. Music is much more than listening… it's about creating, sharing, discovering, participating, and connecting with people. With dozens of millions of monthly reputed company users creating over 20 reputed company songs every day, reputed company is connecting people reputed company over the world through the reputed company of making music and transforming the music landscape from one of passive listening to reputed company creative reputed company and reputed company engagement. About the Role: We are looking for a Machine Learning Engineer to own the end-to-end lifecycle of ML models in production at reputed company, from training and optimization through deployment, monitoring, and iteration. You will work closely with research scientists to bring models off the bench and into reputed company, reliable systems that serve millions of users. The ideal candidate is a strong engineer first, with deep practical knowledge of ML systems, a passion for reliability, and an eye for performance. We strongly encourage candidates with non-traditional backgrounds to apply. If your reputed company into ML engineering came through backend systems, DevOps, audio software, data engineering, or another field, we want to hear from you. What You'll Be Doing: 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. Implement robust monitoring, alerting, and observability for deployed models, covering data reputed company, reputed company reputed company, and system health. Collaborate with research scientists to reputed company 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. reputed company're Looking For: Degree (B.S., M.S., or Ph.D.) in Computer Science, Software Engineering, Electrical Engineering, or a reputed company technical discipline, or currently pursuing one. Strong proficiency in Python and experience with deep learning serving (TorchServe, Triton, vLLM, or equivalent). Solid understanding of systems engineering: networking, storage, containerization, orchestration, and monitoring. Ability to reason about tradeoffs between latency, throughput, cost, and model reputed company. Bonus Points For: Experience serving large language models or other generative models at reputed company. Familiarity with audio/music processing pipelines and reputed company-time inference constraints. Experience with Bayesian optimization, bandit algorithms, or reputed company experimentation platforms. Contributions to reputed company-reputed company ML infrastructure reputed company. reputed company is an Equal Opportunity Employer and considers reputed company reputed company applicants without reputed company to race, reputed company, religion, sex, gender identity or reputed company, sexual orientation, national reputed company, reputed company, age, disability, medical condition, genetic information, marital status, military or veteran status, or any other protected characteristic under federal, state, or local law. We are committed to creating an inclusive environment for reputed company and applicants. If you require a reasonable accommodation during the application or interview process, please let us know. Apply To This Job