At a Glance
- Tasks: Design and develop groundbreaking 3D ML models and showcase prototypes.
- Company: Join SpAItial, a pioneering startup in AI and 3D technology.
- Benefits: Be part of an innovative team with a commitment to excellence and creativity.
- Other info: Diverse and inclusive workplace welcoming all backgrounds and experiences.
- Why this job: Shape the future of 3D content across industries like gaming and robotics.
- Qualifications: PhD in Computer Science or related field with expertise in Machine Learning.
The predicted salary is between 36000 - 60000 € per year.
SpAItial is pioneering the development of a frontier 3D foundation model, pushing the boundaries of AI, computer vision, and spatial computing. Our mission is to redefine how industries, from robotics and AR/VR to gaming and movies, generate and interact with 3D content. We’re looking for individuals who are bold, innovative, and driven by a passion for pushing the boundaries of what’s possible. You should thrive in an environment where creativity meets challenge and be fearless in tackling complex problems. Our team is built on a foundation of dedication and a shared commitment to excellence, so we value people who take immense pride in their work and place the collective goals of the team above personal ambition. As a part of our startup, you’ll be at the forefront of the AI revolution in 3D technology, and we want you to be excited about shaping the future of this dynamic field. If you’re ready to make an impact, embrace the unknown, and collaborate with a talented group of visionaries, we want to hear from you.
Responsibilities:
- Design and develop 3D foundational ML models.
- Large-scale distributed model training.
- Develop demos showcasing the trained model prototypes.
- Processing and maintaining large data for model training.
- Productionizing models, test-time model optimization.
Key Qualifications:
- PhD in Computer Science or related field with a strong publication record in Machine Learning, Computer Vision, Robotics, or Graphics.
- Strong knowledge of 3D projective geometry.
- Strong knowledge of modern 3D representations - 3D Gaussian Splatting, Neural Radiance Fields.
Preferred Qualifications:
- Experience in generative models (GANs, diffusion, LLMs, etc).
- Rich experience with large-scale 3D deep-learning in PyTorch or similar.
- Experience with modern video/image generative diffusion models.
- Strong coding skills, able to rapidly iterate through ML experiments.
At SpAItial, we are committed to creating a diverse and inclusive workplace. We welcome applications from people of all backgrounds, experiences, and perspectives. We are an equal opportunity employer and ensure all candidates are treated fairly throughout the recruitment process.
Research Scientist - 3D employer: Spaitial Ltd.
At SpAItial, we pride ourselves on being at the cutting edge of 3D technology and AI innovation, offering a vibrant work culture that fosters creativity and collaboration. Our commitment to employee growth is evident through our supportive environment where bold thinkers can thrive, and our diverse team is united by a shared passion for excellence and pushing the boundaries of what's possible. Located in a dynamic startup atmosphere, we provide unique opportunities to shape the future of industries such as robotics, AR/VR, and gaming, making us an exceptional employer for those eager to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist - 3D
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow researchers. 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 showcasing your 3D models, ML projects, or any relevant demos. This is your chance to shine and demonstrate your creativity and technical prowess to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of 3D projective geometry and modern representations. Be ready to discuss your past projects and how they relate to SpAItial's mission. Confidence is key!
✨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 being part of our innovative team at SpAItial.
We think you need these skills to ace Research Scientist - 3D
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for 3D technology and AI shine through. We want to see how excited you are about pushing boundaries and tackling complex problems in this dynamic field.
Tailor Your CV:Make sure your CV highlights relevant experience and skills that align with the job description. Focus on your PhD work, publications, and any projects related to 3D models or machine learning that showcase your expertise.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for our team. Share specific examples of your work and how it relates to our mission at SpAItial. This is your chance to connect your background with our goals!
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it shows you’re keen to join our innovative team!
How to prepare for a job interview at Spaitial Ltd.
✨Know Your 3D Stuff
Make sure you brush up on your knowledge of 3D projective geometry and modern 3D representations like 3D Gaussian Splatting and Neural Radiance Fields. Be ready to discuss how these concepts apply to the role and share any relevant projects you've worked on.
✨Showcase Your Creativity
SpAItial values bold and innovative thinkers, so don’t shy away from sharing your creative ideas during the interview. Think about how you can push the boundaries of AI and spatial computing, and be prepared to discuss how you’ve tackled complex problems in the past.
✨Demonstrate Your Coding Skills
Since strong coding skills are essential for this role, be ready to talk about your experience with large-scale 3D deep learning in PyTorch or similar frameworks. You might even want to prepare a quick coding challenge or example to showcase your ability to iterate through ML experiments.
✨Emphasise Team Spirit
At SpAItial, teamwork is key. Highlight your experiences working collaboratively in a team setting and how you prioritise collective goals over personal ambition. Share examples of how you’ve contributed to a team’s success and how you can bring that same dedication to their innovative environment.
