At a Glance
- Tasks: Design and implement cutting-edge AI/ML solutions for the music industry.
- Company: Join a dynamic team at a leading music technology company.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment focused on creativity and pushing AI boundaries.
- Why this job: Make a real impact in the music world with innovative AI technologies.
- Qualifications: 5+ years in software/ML engineering and strong Python skills required.
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!
AI Engineer employer: Universal Music Group
As an AI Engineer at our innovative music company, you'll be part of a dynamic team dedicated to pushing the boundaries of AI technology in the music industry. We offer a collaborative work culture that values curiosity and creativity, alongside opportunities for professional growth and development in cutting-edge AI/ML projects. Located in a vibrant environment, we provide a unique chance to make a meaningful impact while working with state-of-the-art tools and technologies.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Universal Music Group or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Universal Music Group.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Universal Music Group.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Universal Music Group that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Universal Music Group.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Universal Music Group and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Universal Music Group
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Universal Music Group uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
