At a Glance
- Tasks: Lead groundbreaking research in 3D computer vision and machine learning.
- Company: Join a leading tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Make a real impact in cutting-edge research and technology development.
- Qualifications: PhD in relevant field and hands-on experience with ML and 3D algorithms.
The predicted salary is between 50000 - 70000 £ 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.
Research Scientist, 3D Computer Vision & Machine Learning (PhD) employer: Meta Platforms, Inc.
As a leading employer in the field of 3D computer vision and machine learning, we offer an innovative work culture that fosters collaboration and creativity. Our commitment to employee growth is evident through mentorship opportunities and support for research publications, all within a dynamic environment that encourages pushing the boundaries of technology. Located in a vibrant tech hub, we provide access to cutting-edge resources and a network of like-minded professionals, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist, 3D Computer Vision & Machine Learning (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 computer vision and machine learning. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining your research in simple terms – it’s all about making complex ideas accessible!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing passionate candidates who are eager to contribute to cutting-edge research. Your next big opportunity could be just a click away!
We think you need these skills to ace Research Scientist, 3D Computer Vision & Machine Learning (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 responsibilities listed in the job description, so don’t hold back on showcasing relevant projects or research!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you a perfect fit. We love seeing enthusiasm and a clear connection to our mission, so let your personality come through.
Showcase Your Research Experience:Since this role involves a lot of research, make sure to detail your past research experiences. Highlight any publications, projects, or experiments you've led that relate to 3D computer vision or machine learning. We’re keen to see your 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 research in detail, especially any projects related to 3D computer vision and machine learning. Be prepared to explain your methodologies, findings, and how they contribute to the field. This shows your passion and expertise.
✨Showcase Your Coding Skills
Since coding is a big part of this role, brush up on your C++ and Python skills. Be ready to discuss specific coding challenges you've faced and how you solved them. If possible, bring examples of your work or contributions to open-source projects to demonstrate your abilities.
✨Prepare for Practical Problem-Solving
Expect to tackle real-world problems during the interview. Practice explaining your thought process when designing experiments or evaluating models. Highlight your experience with system building and data collection, as this will be crucial for the role.
✨Emphasise Collaboration and Mentorship
This position involves working closely with others, so be ready to discuss your experience in cross-functional teams. Share examples of how you've mentored peers or contributed to collaborative projects, as this will show you're a team player who can help elevate the group.
