Senior AI Engineer, Sureel AI
Warner Music Group2 days ago
Responsibilities
- Develop AI solutions from initial hypotheses and algorithm design through validation, deployment, and iteration.
- Create new algorithms, representations, objectives, evaluation methods, and system designs when existing approaches are insufficient.
- Evaluate and extend published research using rigorous benchmarks, ablation studies, statistical evaluations, and failure analysis.
- Work across training-data attribution, model influence, interpretability, embeddings, multimodal similarity, AI detection, guardrails, privacy-preserving observability, and large-scale retrieval.
- Build prototypes and convert successful research into scalable production systems.
- Improve research and MLOps infrastructure for experimentation, reproducibility, deployment, monitoring, and iteration.
- Collaborate with Engineering and Product to turn scientific advances into product capabilities.
- Develop proprietary datasets, evaluation frameworks, patents, research publications, and technical capabilities.
- Use AI coding agents, agentic frameworks, AI-assisted debugging, automated testing, and emerging development workflows while critically reviewing shipped work.
Requirements
- Strong scientific foundation in machine learning, AI, computer science, electrical engineering, mathematics, physics, or another quantitative field.
- Advanced degree or equivalent scientific depth developed through substantial research and engineering experience.
- Deep understanding of machine learning sufficient to modify algorithms, architectures, objectives, representations, training procedures, and evaluation methods.
- Ability to reason from first principles, develop hypotheses, and use experiments to test them.
- Demonstrated technical originality through research, algorithms, patents, open-source contributions, unconventional engineering solutions, or products built without an established playbook.
- High proficiency in Python and modern machine learning frameworks such as PyTorch.
- Understanding of neural architectures, generative models, multimodal systems, experimental design, statistics, benchmarking, and failure analysis.
- Strong software engineering skills focused on code quality, reproducibility, performance, maintainability, collaboration, and production AI systems.
- Preferred experience with GCP, Kubernetes, Docker, Terraform, AWS DynamoDB or another NoSQL database, Meilisearch, vector search, distributed processing, GPU infrastructure, enterprise SaaS, developer APIs or SDKs, TypeScript, React, agentic development frameworks, or large-scale audio and media systems.
Tech Stack
Categories
AI ResearchML Engineering
About Warner Music Group
Warner Music Group is a publicly traded music company that operates global recorded-music labels and the Warner Chappell publishing catalog. It monetizes music through streaming and download partnerships, physical sales, licensing and sync, and artist and label services (including ADA and WMX). Headquartered in New York and controlled by Access Industries, WMG’s roster spans labels such as Atlantic and Warner Records, with operations in 70+ countries.