At a Glance
- Tasks: Lead groundbreaking research in 3D computer vision and machine learning.
- Company: Join a leading tech company at the forefront of innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on ambitious research goals.
- Why this job: Make a real impact in cutting-edge research and mentor future talents.
- Qualifications: PhD in relevant field and hands-on experience with ML and 3D algorithms.
The predicted salary is between 60000 - 80000 £ per year.
Responsibilities
- Lead, collaborate, and execute on research that pushes forward the state of the art in 3D computer vision, multimodal reasoning and generative approaches.
- Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
- Work with the team to help design, setup, and run practical experiments and prototype systems related to large-scale, long-duration sensing and machine reasoning.
- Contribute to publications and open-sourcing efforts.
- Help identify long-term ambitious research goals as well as intermediate milestones.
- Mentor other team members. Play a significant role in healthy cross-functional collaboration.
Minimum Qualifications
- Experience communicating research for public audiences of peers.
- Experience with real world system building and data collection, including design, coding (C++) and evaluation (C++/Python), including experience with modern ML methods and algorithms.
- Hands-on experience implementing 3D computer vision algorithms and training/evaluating ML and AI models.
- Currently has or is in the process of obtaining a PhD in the field of Computer Vision, Computer Science, Mathematics, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Experience in developing and debugging in C/C++, Python, or C#.
- Research experience in 3D ML and AI research, specifically around Object Tracking / Detection / Segmentation, 3D semantic scene understanding, or generative 3D scene modeling.
Preferred Qualifications
- Experience working in a Unix environment.
- Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
- Experience working and communicating cross functionally in a team environment.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as CVPR, NeurIPS, ECCV, ICCV, IROS, ICRA, or similar.
Lead 3D Vision & ML Research Scientist (PhD) employer: Meta Platforms, Inc.
At Meta, we pride ourselves on being an exceptional employer, particularly for those passionate about advancing the frontiers of 3D computer vision and machine learning. Our collaborative work culture fosters innovation and creativity, providing ample opportunities for professional growth through mentorship and cross-functional teamwork. Located in a vibrant tech hub, we offer unique advantages such as access to cutting-edge resources and a community of like-minded researchers dedicated to making a meaningful impact in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Lead 3D Vision & ML Research Scientist (PhD)
✨Tip Number 1
Network like a pro! Reach out to folks in your field on LinkedIn or at conferences. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to 3D vision and ML. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common questions in your field. Practice explaining your research and projects clearly, as if you're talking to someone outside your area of expertise.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining our team and pushing the boundaries of 3D computer vision.
We think you need these skills to ace Lead 3D Vision & ML Research Scientist (PhD)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in 3D computer vision and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for research and any specific experiences that relate to our work at StudySmarter. Keep it engaging and personal!
Showcase Your Research Experience:We love seeing your research journey! Include details about your publications, projects, and any hands-on experience with 3D ML algorithms. This helps us understand your depth of knowledge and contributions to the field.
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Meta Platforms, Inc.
✨Know Your Research Inside Out
Make sure you can discuss your past research and projects in detail. Be prepared to explain the methodologies you used, the challenges you faced, and how you overcame them. This will show your depth of knowledge and passion for the field.
✨Showcase Your Coding Skills
Since the role requires experience in C++ and Python, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your previous coding projects. Brush up on your coding skills and be prepared to talk about your contributions to open-source projects.
✨Prepare for Technical Questions
Expect questions that dive deep into 3D computer vision and machine learning concepts. Review key algorithms, techniques, and recent advancements in the field. Being able to articulate complex ideas clearly will impress your interviewers.
✨Emphasise Collaboration and Mentorship
This role involves working with a team and mentoring others, so be ready to discuss your experiences in collaborative environments. Share examples of how you've worked cross-functionally and supported your peers, as this will highlight your ability to contribute to a healthy team dynamic.
