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- Tasks: Join us to innovate in AI-driven content creation and 3D image processing.
- Company: Be part of a cutting-edge team in London focused on advanced technology.
- Benefits: Enjoy hybrid working with three days onsite and two remote each week.
- Why this job: Work at the forefront of computer vision and machine learning, making a real impact.
- Qualifications: Master’s degree in relevant fields and strong C++ coding skills required.
- Other info: Hands-on experience with 3D reconstruction techniques is a plus.
The predicted salary is between 43200 - 72000 £ per year.
We’re looking for an experienced Computer Vision and Machine Learning Engineer to join an innovative project focused on AI-driven content reconstruction and creation. This is a great opportunity to work at the intersection of advanced computer vision, machine learning, and 3D image processing.
Hybrid working: Three days onsite and two days remote per week.
Key Responsibilities- Research and experiment with the latest technologies in computer vision and AI to drive improvements in automated content creation and editing.
- Evaluate state-of-the-art academic and industry research, turning cutting-edge ideas into functional prototypes.
- Design and implement high-performance software and algorithms for image processing, deep learning, and 3D reconstruction.
- Own technical development for major components of the system, ensuring scalable and maintainable code.
- Collaborate with cross-functional teams to define requirements and translate them into robust engineering solutions.
- Master’s degree or higher in Computer Science, Engineering, Machine Learning, Artificial Intelligence, or a related field.
- Strong professional experience coding in modern C++ (advanced level).
- Practical expertise with GPU programming, specifically using CUDA or OpenCL.
- Solid background in debugging, optimization, and performance tuning.
- Clear communicator with a collaborative and proactive working style.
- Hands-on experience in image-based 3D reconstruction techniques such as:
- Photogrammetry
- Neural Radiance Fields (NeRF)
- Gaussian Splatting
Contact Detail:
Golden Bees Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision and Machine Learning Engineer (Basé à London)
✨Tip Number 1
Familiarise yourself with the latest advancements in computer vision and machine learning. Follow relevant research papers, attend webinars, and engage with online communities to stay updated on cutting-edge technologies that could be beneficial for the role.
✨Tip Number 2
Showcase your practical experience with GPU programming by working on personal projects or contributing to open-source initiatives. This hands-on experience will not only enhance your skills but also demonstrate your commitment to the field.
✨Tip Number 3
Network with professionals in the AI and computer vision space. Attend industry conferences, meetups, or online forums to connect with potential colleagues and learn about job opportunities directly from insiders.
✨Tip Number 4
Prepare to discuss your previous projects in detail during interviews. Be ready to explain your thought process, the challenges you faced, and how you overcame them, particularly in areas related to image processing and 3D reconstruction.
We think you need these skills to ace Computer Vision and Machine Learning Engineer (Basé à London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in computer vision, machine learning, and 3D image processing. Include specific projects or roles where you've used C++ and GPU programming, as these are key requirements for the position.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI-driven content creation and detail how your skills align with the responsibilities listed in the job description. Mention any specific technologies or methodologies you have experience with, such as photogrammetry or neural radiance fields.
Showcase Your Projects: If you have worked on relevant projects, consider including a portfolio or links to your work. This could be GitHub repositories or case studies that demonstrate your expertise in image processing and machine learning.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail during the application process. Brush up on your knowledge of algorithms, debugging, and performance tuning, as well as your experience with CUDA or OpenCL, as these may come up in interviews.
How to prepare for a job interview at Golden Bees
✨Showcase Your Technical Skills
Be prepared to discuss your experience with C++ and GPU programming in detail. Bring examples of projects where you've implemented image processing algorithms or worked on 3D reconstruction techniques like photogrammetry or NeRF.
✨Demonstrate Your Problem-Solving Ability
Expect to face technical challenges during the interview. Practice explaining your thought process when tackling complex problems, especially those related to machine learning and computer vision. This will show your analytical skills and how you approach real-world issues.
✨Communicate Clearly and Collaboratively
Since collaboration is key in this role, practice articulating your ideas clearly. Be ready to discuss how you've worked with cross-functional teams in the past and how you can contribute to a collaborative environment.
✨Stay Updated on Industry Trends
Research the latest advancements in AI and computer vision. Being knowledgeable about current trends and technologies will not only impress your interviewers but also demonstrate your passion for the field and your commitment to continuous learning.
