At a Glance
- Tasks: Create high-quality synthetic datasets using Blender for immersive tech.
- Company: Lumirithmic, an innovative spin-out from Imperial College London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment focused on collaboration and continuous improvement.
- Why this job: Join a cutting-edge team redefining data for next-gen XR experiences.
- Qualifications: Hands-on experience with Blender and strong Python programming skills.
The predicted salary is between 50000 - 70000 € per year.
Lumirithmic, an Imperial College London spin-out, is redefining synthetic data for the next generation of immersive technologies. By combining advanced 3D computer graphics with AI, we create high-fidelity, large-scale datasets that power cutting-edge perception systems.
We are looking for a Synthetic Data Engineer (Blender & XR) to drive the creation and delivery of high-quality synthetic datasets. In this role, you will work with our in-house, Blender-based platform to design, build, and execute scalable data pipelines tailored to partner needs.
- Build, render, and deliver large-scale synthetic datasets (1M+ frames) reliably for partners across XR and AI teams.
- Operate and optimize scalable rendering and visual data generation workflows.
- Ensure delivery quality, consistency, and operational reliability across datasets and pipeline runs.
- Work directly with partners to understand requirements, iterate on feedback, and ensure high-quality outputs.
- Translate partner needs into scalable synthetic data generation workflows and rendering solutions.
- Develop new modular components, fix bugs, and maintain the synthetic data platform for performance and reliability.
- Support operational scalability and continuous improvements across rendering and dataset workflows.
Strong expertise with the Blender Python API (bpy) is required, along with solid software engineering fundamentals and experience writing clean, maintainable, and testable code. Strong Python programming skills are essential.
Additional qualifications include:
- Experience building or maintaining Blender-based automation, rendering, or pipeline tooling.
- Good understanding of human-centric computer graphics, including animation and rendering workflows.
- Experience with rendering at scale (e.g. render farms).
- Knowledge of computer vision, particularly real-time systems.
- Experience with machine learning frameworks.
- Familiarity with the Blender C++ codebase.
- Experience with AI-assisted coding or agent-based workflows.
- Strong visual judgment and attention to detail for high-quality renders.
- Experience in synthetic data generation, VFX, games, XR, simulation, or technical art workflow.
Data Engineer - ML & AI employer: Lumirithmic
At Lumirithmic, we pride ourselves on being an innovative employer that fosters a collaborative and dynamic work culture in the heart of London. Our hybrid working model allows for flexibility while engaging with cutting-edge technology in synthetic data generation, providing employees with ample opportunities for professional growth and development. Join us to be part of a forward-thinking team that is shaping the future of immersive experiences and AI performance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - ML & AI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with synthetic data or XR tech. Attend meetups, webinars, or even online forums to connect with potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Blender projects and any synthetic data pipelines you've built. This is your chance to demonstrate your expertise and creativity, so make it visually appealing and relevant to the job you're after.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with the Blender Python API and how you've tackled challenges in previous projects. Practice common interview questions related to data engineering and machine learning to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight how your skills align with our mission and the specific role you're applying for.
We think you need these skills to ace Data Engineer - ML & AI
Some tips for your application 🫡
Show Off Your Blender Skills:Make sure to highlight your hands-on experience with Blender and the Blender Python API in your application. We want to see how you've used these tools in real-world projects, so don’t hold back on the details!
Tailor Your Application:When applying, tailor your CV and cover letter to reflect the specific requirements of the Synthetic Data Engineer role. We love seeing candidates who understand our mission and can connect their experience to what we do at Lumirithmic.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and how you fit into our team. Avoid jargon unless it’s relevant to the role!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Lumirithmic
✨Know Your Blender Inside Out
Make sure you’re well-versed in Blender and the Blender Python API (bpy). Brush up on your skills by working on personal projects or contributing to open-source ones. Being able to discuss your hands-on experience confidently will impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to rendering workflows or data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate how you tackled those issues effectively.
✨Understand Their Vision
Familiarise yourself with Lumirithmic’s mission and the role of synthetic data in XR technologies. Be ready to discuss how your skills can contribute to their goals, particularly in creating high-quality datasets that align with real-world applications.
✨Ask Insightful Questions
Prepare thoughtful questions about their current projects, team dynamics, and future plans. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values and work style.
