AI Engineer

Requirements

• Background in Computer Science, Software Engineering, ML Ops, Artificial Intelligence or related technical field
• 5+ years of hands‑on professional experience in software/ML engineering
• Proven ability to come up with designs for AI/ML systems, pipelines and/or applications, and to implement them successfully
• Expertise in quantitative evaluation and benchmarking of state‑of‑the‑art AI models
• Up to date knowledge of state‑of‑the‑art for ML Ops, ML infrastructure, including related tools, design patterns, best practices etc
• Experience with vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate) and information retrieval systems and methods
• Familiarity with media content (video, audio) ML pipelines
• Proficiency in Python and common AI/ML libraries (e.g., PyTorch, Hugging Face Transformers, LangChain) and cloud frameworks (VertexAI, Bedrock, Sagemaker)
• Strong proficiency in Git, CI/CD workflows, and containerization (Docker/Kubernetes)
• Proficiency with Linux environments and cloud platforms (e.g. AWS, Google Cloud Platform)
• Ability to write clean, efficient, well documented, and reusable code
• Good communication skills, both oral and written
• Curious, self‑motivated, and proactive
• (Desirable) Experience training and/or fine‑tuning AI models
• (Desirable) Experience with LLMs integration, fine‑tuning and associated tools (e.g. LangChain, Agent frameworks)
• (Desirable) Competency in at least one other programming language (e.g. C/C++, Java)
• (Desirable) Experience going from POC to production‑grade system
• Curious Innovator: You stay up to date with frontier AI technologies and enjoy experimenting with fresh ideas that push the boundaries, running experiments, and learning fast from results
• Ownership Mindset: You take initiative, follow through on challenges, and bring a sense of accountability to everything you build
• Pragmatic Problem Solver: You balance technical depth with real‑world practicality — delivering elegant, efficient and robust solutions that get the job done
• Collaborative Builder: You thrive in cross‑functional teams, translating complex AI concepts into simple, impactful solutions that empower others
• Culturally Connected: You have a genuine interest in music and the role of technology in supporting culture

What the job involves

• Part of the Global Technology organization, the team’s mission is to design and build state‑of‑the‑art AI/ML tools to support and empower Royalty Manager & Artists, and industry professionals
• The team covers the full design & development lifecycle, from explorative research to design to prototypes to production scale programs
• It typically undertakes programs with applications such as, but not limited to, royalty calculations, income claim, contract agreements, search, recommendation, etc
• We are curious, passionate and committed to push the envelope in AI for music
• We’re looking for an AI Engineer to build and ship machine learning and generative AI solutions that power how a modern music company operates across A&R insights, marketing optimization, audience growth, content operations, rights/royalty workflows, and creative tools
• You’ll partner with product, engineering, data, legal, and business teams to take ideas from prototype to production, with a strong focus on reliability, safety, and measurable impact

Be Technical

• Design and implement AI pipelines for automating royalty calculation and relation processes etc
• Integrate foundation models (LLMs, vision models, etc.) into products using APIs and custom fine‑tuning
• Develop and maintain retrieval systems that operate efficiently at scale
• Explore frontier software engineering in AI/ML for media, and related opportunities for UMG
• Build on state‑of‑the‑art cloud infrastructure

Be Collaborative

• Collaborate with the team and stakeholders to deliver, operate and maintain products
• Be part of an innovative and dynamic team

If you are excited at the idea of working on state‑of‑the‑art AI at industry scale and making an impact, we want to hear from you!

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