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- Tasks: Lead a team to build and maintain Lightricks' AI infrastructure.
- Company: Join Lightricks, an innovative AI-first company transforming visual content creation.
- Benefits: Enjoy stock options, private medical insurance, flexible working, and more perks.
- Why this job: Be part of a dynamic team shaping the future of AI in creative spaces.
- Qualifications: 8+ years in backend systems, 2+ years in engineering management required.
- Other info: Work in a vibrant office in central London with frequent social activities.
The predicted salary is between 48000 - 84000 £ per year.
Lightricks, an AI-first company, is revolutionising how visual content is created. With a mission to bridge the gap between imagination and creation, Lightricks is dedicated to bringing cutting-edge technology to the creative and business spaces.
Our advanced AI photo and video generation models, including our open-source LTXV model, power our apps and platforms, allowing creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platform, Popular Pays, provides creators the ability to monetise their work and offers brands opportunities to scale their content through tailored creator partnerships.
As the ML Platform Engineering Manager, you'll lead a dynamic team of backend engineers building the backbone of Lightricks' AI infrastructure. The team operates at the critical intersection of research and production, transforming cutting-edge ML and generative AI models from our research teams into robust, scalable systems that power magical experiences for millions of users across our apps.
The ML Platform team owns the end-to-end journey of AI at Lightricks. You'll streamline the path from research prototype to production deployment, while architecting and maintaining a high-performance inference platform that serves our models at scale. Your work directly enables both our internal research teams to iterate faster and our end users to experience seamless AI-powered features.
This role demands a unique blend of technical depth and leadership excellence. You'll need strong architectural vision to guide complex distributed systems decisions, coupled with exceptional people management skills to grow and inspire your team. Success here means balancing the fast-paced demands of a growing AI company while building sustainable, world-class infrastructure that can scale with our ambitions.
Your skills and experience:
- 8+ years of backend systems experience with 2+ years in engineering management, including proven leadership of complex platform projects from conception to production
- Deep expertise in cloud-based distributed systems, including architecture, deployment, and operational excellence
- Strong proficiency in backend development and system/API design with focus on scalability and observability
- Experience managing and mentoring engineering teams in fast-paced, startup environments
- Excellent communication and cross-functional collaboration skills with ability to drive technical vision
- Experience with ML model serving and GPU infrastructure - preferred
- Comfortable leading distributed teams across multiple time zones
- B.Sc. in Computer Science or related technical field
Benefits:
- Stock Options
- Private Medical Insurance (Optical & Dental cover) including your loved ones
- Life Assurance
- £3,000/p/a Transport Allowance
- £750p/a allowance for Wellbeing & Professional Development
- Free on-site lunches, coffee, breakfast & snacks
- Pension Contributions (7%)
- Holiday (25 days)
- Seasonal & Anniversary Vouchers
- Hybrid & Flexible working
- Cool office space in central London
- Enhanced Parental Leave
- Cycle-to-work Scheme
- Season Ticket Loan
- Volunteering Opportunities
- Frequent social activities - away-days, happy hours, team building, yoga, creative workshops
Engineering Manager - ML Platform employer: Lightricks
Contact Detail:
Lightricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager - ML Platform
✨Tip Number 1
Familiarise yourself with Lightricks' products and their underlying technology. Understanding how their AI models work and the specific challenges they face will help you demonstrate your passion and knowledge during interviews.
✨Tip Number 2
Network with current or former employees of Lightricks on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage in your discussions.
✨Tip Number 3
Showcase your leadership skills by preparing examples of how you've successfully managed engineering teams and complex projects. Be ready to discuss your approach to mentoring and inspiring team members, as this is crucial for the Engineering Manager role.
✨Tip Number 4
Stay updated on the latest trends in machine learning and AI infrastructure. Being able to discuss recent advancements and how they could apply to Lightricks' goals will set you apart as a knowledgeable candidate who can contribute to their innovative environment.
We think you need these skills to ace Engineering Manager - ML Platform
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Engineering Manager - ML Platform position. Tailor your application to highlight relevant experiences that align with Lightricks' mission and the specific skills they are looking for.
Craft a Tailored CV: Your CV should reflect your 8+ years of backend systems experience and 2+ years in engineering management. Emphasise your leadership in complex platform projects and your expertise in cloud-based distributed systems. Use clear examples to demonstrate your impact in previous roles.
Write a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with Lightricks' vision. Highlight your technical depth and leadership skills, and explain how you can contribute to building scalable infrastructure that supports their innovative AI solutions.
Showcase Communication Skills: Since excellent communication and cross-functional collaboration are key for this role, ensure your application reflects these skills. Use concise language and clear structure in your documents, and consider including examples of successful team collaborations or projects you've led.
How to prepare for a job interview at Lightricks
✨Showcase Your Technical Expertise
As an Engineering Manager for the ML Platform, it's crucial to demonstrate your deep understanding of backend systems and cloud-based distributed architectures. Be prepared to discuss specific projects where you've successfully led complex platform initiatives from conception to production.
✨Highlight Leadership Experience
Lightricks values strong leadership skills, so share examples of how you've managed and mentored engineering teams in fast-paced environments. Discuss your approach to inspiring your team and fostering a collaborative atmosphere, especially when working across multiple time zones.
✨Communicate Your Vision
Effective communication is key in this role. Be ready to articulate your architectural vision for scalable systems and how you plan to balance the demands of a growing AI company. Use clear examples to illustrate how you've driven technical vision in previous roles.
✨Prepare for Technical Questions
Expect to face technical questions related to ML model serving and GPU infrastructure. Brush up on your knowledge in these areas and be ready to discuss how you've implemented solutions that enhance scalability and observability in past projects.
