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For Companies At a Glance
- Tasks: Lead research in NeRFs and 3D Gaussian Splatting to create realistic 3D environments.
- Company: Join a mission-driven startup redefining 3D environment creation with cutting-edge technology.
- Benefits: Enjoy competitive pay, equity options, and a flexible work environment.
- Why this job: Shape the future of immersive tech while collaborating on groundbreaking AI projects.
- Qualifications: Ph.D. or Master's in relevant fields; expertise in NeRFs and strong Python skills required.
- Other info: Be part of a vibrant culture that values curiosity and innovation.
The predicted salary is between 48000 - 84000 £ per year.
Join Us as a Research Scientist in 3D Neural Rendering and AI-Powered Environments!
Are you a visionary scientist passionate about pushing the boundaries of 3D environment creation? Do NeRFs (Neural Radiance Fields) and 3D Gaussian Splatting fuel your curiosity? If so, we want you to join our journey transforming how 3D worlds are imagined and built.
About Us
We\’re on a mission to redefine 3D environment creation for various cutting-edge applications, from immersive gaming and virtual production to digital twins and AR/VR experiences. Backed by forward-thinking investors and driven by a culture of innovation, we are building the next generation of tools to craft seamless, photorealistic 3D worlds.
The Role
We’re looking for a Research Scientist to lead and innovate in NeRFs and 3D Gaussian Splatting. This role is central to our goal of creating scalable, adaptable, and highly realistic 3D environments. You\’ll work at the forefront of neural rendering, combining state-of-the-art AI techniques with a hands-on approach to shape the future of immersive technology.
Key Responsibilities
- Develop and refine models for NeRF-based 3D scene reconstruction.
- Advance 3D Gaussian Splatting techniques for accurate and efficient environment rendering.
- Conduct cutting-edge research in neural rendering, optimizing for quality and performance.
- Collaborate with a dynamic team of engineers and designers to prototype and deploy innovative solutions.
- Contribute to white papers, patents, and presentations to showcase your research outcomes.
What We’re Looking For
- Ph.D. or Master\’s in Computer Science, AI, Machine Learning, or a related field (or equivalent research experience).
- Deep expertise in NeRFs, neural rendering, or similar 3D representation techniques.
- Strong proficiency in Python and frameworks like PyTorch or TensorFlow.
- A solid foundation in 3D geometry, computer vision, and rendering pipelines.
- Passion for experimentation and a drive to translate complex research into real-world applications.
Why Join Us?
- Shape the Future: Your work will define the foundation of our technology and its transformative potential.
- Cutting-Edge Tech: Collaborate on groundbreaking projects at the intersection of AI and 3D innovation.
- Vibrant Culture: Be part of a startup culture that values curiosity, agility, and a passion for building.
- Competitive Benefits: Enjoy competitive compensation, equity options, and a flexible work environment.
Let’s Build the Future Together
If you’re excited about redefining 3D environments and eager to contribute to something truly revolutionary, we’d love to hear from you!
Apply now to join us and make your mark on the world of AI-driven 3D innovation.
Research Scientist (NeRF) employer: Optifye.ai (YC W25)
Contact Detail:
Optifye.ai (YC W25) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist (NeRF)
✨Tip Number 1
Familiarize yourself with the latest advancements in NeRFs and 3D Gaussian Splatting. Follow relevant research papers, attend conferences, and engage with the community to stay updated on cutting-edge techniques that can set you apart.
✨Tip Number 2
Showcase your hands-on experience with Python and frameworks like PyTorch or TensorFlow. Consider contributing to open-source projects or creating your own projects that demonstrate your skills in neural rendering and 3D representation.
✨Tip Number 3
Network with professionals in the field of AI and 3D technology. Attend meetups, webinars, or workshops to connect with like-minded individuals and potential collaborators who can provide insights and opportunities.
✨Tip Number 4
Prepare to discuss your passion for experimentation and real-world applications of your research. Be ready to share examples of how you've translated complex concepts into practical solutions, as this aligns with our mission at StudySmarter.
We think you need these skills to ace Research Scientist (NeRF)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in 3D rendering, neural networks, and any specific projects related to NeRFs or Gaussian Splatting. Use keywords from the job description to align your skills with what they are looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for 3D environment creation and how your background aligns with their mission. Mention specific experiences that demonstrate your expertise in AI and machine learning, and how you can contribute to their innovative projects.
Showcase Your Research: If you have published papers or patents, include them in your application. Highlight any significant contributions to the field of neural rendering or 3D representation techniques, as this will strengthen your candidacy.
Prepare for Technical Questions: Be ready to discuss your technical skills in Python, PyTorch, or TensorFlow during the interview process. Prepare examples of past projects where you applied these technologies, especially in relation to 3D geometry and rendering pipelines.
How to prepare for a job interview at Optifye.ai (YC W25)
✨Showcase Your Expertise in NeRFs
Be prepared to discuss your deep understanding of Neural Radiance Fields. Highlight any relevant projects or research you've conducted, and be ready to explain complex concepts in a way that demonstrates your passion and expertise.
✨Demonstrate Your Technical Skills
Since strong proficiency in Python and frameworks like PyTorch or TensorFlow is crucial, come prepared with examples of how you've used these tools in past projects. Consider discussing specific challenges you faced and how you overcame them.
✨Emphasize Collaboration Experience
This role involves working closely with engineers and designers, so share examples of successful collaborations from your past. Discuss how you contributed to team projects and the impact of your collaborative efforts on the outcomes.
✨Express Your Passion for Innovation
Convey your enthusiasm for pushing the boundaries of 3D environment creation. Share your thoughts on current trends in AI and 3D rendering, and how you envision contributing to the company's mission of redefining 3D environments.
