At a Glance
- Tasks: Lead a team to build an innovative AI-driven video search platform.
- Company: Join a global entertainment leader with a focus on cutting-edge technology.
- Benefits: Competitive salary, bonuses, travel allowance, and remote work options.
- Other info: Exciting growth opportunities in a well-funded AI lab.
- Why this job: Shape tools that empower artists and creative teams using state-of-the-art AI.
- Qualifications: Experience in machine learning and leadership in engineering teams.
The predicted salary is between 80000 - 100000 £ per year.
Location: London / Remote Europe Considered
Compensation: Competitive Base Salary + Bonus + Travel Allowance
About the Role
We are seeking a hands‑on ML Tech Lead to build and lead a brand‑new team in a recently created, well‑funded AI initiative. You’ll be responsible for shaping the direction of a cutting‑edge platform for AI‑driven video search and discovery, combining audio, video, and text data. This is a high‑visibility role with the chance to impact creative teams and artists globally.
Key Responsibilities
- Lead a multidisciplinary team of backend, frontend, and AI engineers
- Architect and develop a multimodal AI search platform (video, audio, text)
- Design and build scalable content ingestion, indexing, and retrieval systems
- Integrate ML models into production search infrastructure (vector search, Elasticsearch/OpenSearch)
- Mentor engineers and foster a high‑impact, collaborative team environment
- Deliver robust, production‑ready systems on modern cloud infrastructure
What We’re Looking For
- Strong experience in machine learning, especially multimodal models
- Hands‑on technical expertise in building large‑scale search or recommendation systems
- Proficiency in cloud‑based architectures and scalable production systems
- Leadership experience: building, mentoring, and guiding engineering teams
- Passion for music, media, or creative technology is a plus
Why This Role is Exciting
- Lead a newly created, high‑impact initiative within a global entertainment leader
- Work with massive audiovisual datasets and state‑of‑the‑art AI technology
- Shape tools that directly support artists, creative teams, and content discovery
- Be part of a well‑funded, forward‑thinking AI lab with long‑term growth opportunities
ML Tech Lead - Multimodal AI employer: DeepRec.ai
Join a pioneering AI initiative within a global entertainment leader, where you will have the opportunity to lead a dynamic team and shape innovative tools that enhance content discovery for artists and creative teams. With a strong emphasis on collaboration and mentorship, our work culture fosters personal and professional growth, while offering competitive compensation and unique benefits such as a travel allowance. This role not only allows you to work with cutting-edge technology but also positions you at the forefront of a well-funded project with significant long-term potential.
StudySmarter Expert Advice🤫
We think this is how you could land ML Tech Lead - Multimodal AI
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to multimodal AI. This gives you a chance to demonstrate your hands-on experience and technical expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and be ready to discuss your past experiences leading teams. Practice explaining complex ideas simply, as you'll need to communicate effectively with both technical and non-technical folks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our innovative team at StudySmarter.
We think you need these skills to ace ML Tech Lead - Multimodal AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the ML Tech Lead role. Highlight your experience with multimodal models and any leadership roles you've had. We want to see how you can lead a team and shape innovative projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and creative technology, and explain why you're excited about this role. Let us know how your background aligns with our mission at StudySmarter and how you can contribute to our new initiative.
Showcase Relevant Projects:If you've worked on large-scale search or recommendation systems, make sure to mention them! Include specific examples of projects where you've integrated ML models into production systems. This will help us see your hands-on expertise in action.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at DeepRec.ai
✨Know Your Multimodal AI Inside Out
Make sure you brush up on your knowledge of multimodal models and how they integrate with various data types like audio, video, and text. Be ready to discuss specific projects or experiences where you've successfully implemented these technologies.
✨Showcase Your Leadership Skills
Since this role involves leading a team, prepare examples that highlight your leadership experience. Think about times when you mentored others or guided a project to success. This will demonstrate your ability to foster a collaborative environment.
✨Familiarise Yourself with Scalable Systems
Get comfortable discussing cloud-based architectures and scalable production systems. Be prepared to explain how you've built or worked with large-scale search or recommendation systems in the past, as this is crucial for the role.
✨Express Your Passion for Creative Technology
This position is all about merging technology with creativity. Share your enthusiasm for music, media, or creative tech during the interview. It’ll show that you’re not just technically skilled but also genuinely interested in the impact of your work.
