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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 in a vibrant, innovative culture.
- Qualifications: Ph.D. or Master's in relevant fields; expertise in NeRFs and strong Python skills required.
- Other info: Contribute to groundbreaking projects and showcase your research through white papers and patents.
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.
Optifye.ai (YC W25) | 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 Optifye.ai (YC W25) | Research Scientist (NeRF)
✨Tip Number 1
Familiarize yourself with the latest advancements in NeRFs and 3D Gaussian Splatting. Being able to discuss recent research papers or breakthroughs during your interview will demonstrate your passion and expertise in the field.
✨Tip Number 2
Showcase any personal projects or contributions to open-source initiatives related to neural rendering. This hands-on experience can set you apart and highlight your ability to apply theoretical knowledge in practical scenarios.
✨Tip Number 3
Network with professionals in the AI and 3D rendering community. Attend relevant conferences, webinars, or meetups to connect with others in the field, which could lead to valuable insights and potential referrals.
✨Tip Number 4
Prepare to discuss how you would approach specific challenges in 3D environment creation. Think about innovative solutions or methodologies you could propose, as this will showcase your problem-solving skills and creativity.
We think you need these skills to ace Optifye.ai (YC W25) | Research Scientist (NeRF)
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience with NeRFs, neural rendering, and any related projects. Showcase specific examples of your work that demonstrate your expertise in these areas.
Showcase Technical Skills: Clearly outline your proficiency in Python and frameworks like PyTorch or TensorFlow. Mention any relevant projects or research that involved these technologies to strengthen your application.
Express Your Passion: Convey your enthusiasm for 3D environment creation and AI. Share your vision for how you can contribute to the company's mission and your excitement about working on cutting-edge technology.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Use keywords from the posting to ensure your application resonates with the hiring team and highlights your fit for the role.
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 for the subject.
✨Demonstrate Your Technical Skills
Since strong proficiency in Python and frameworks like PyTorch or TensorFlow is crucial, come equipped with examples of your coding experience. You might even want to share a GitHub repository showcasing your work in neural rendering or 3D representation techniques.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice solving problems related to 3D geometry and rendering pipelines, as this will demonstrate your ability to think critically and apply your knowledge in real-world scenarios.
✨Express Your Passion for Innovation
Convey your enthusiasm for experimentation and how you translate research into practical applications. Share examples of how you've contributed to innovative projects in the past, and express your excitement about being part of a startup culture that values curiosity and agility.
