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For Companies At a Glance
- Tasks: Join us to innovate in AI-driven content creation and computer vision.
- Company: Be part of a cutting-edge tech company pushing the boundaries of AI.
- Benefits: Enjoy flexible working options and access to the latest technologies.
- Why this job: Work on exciting projects that shape the future of AI and computer vision.
- Qualifications: Masters in ML/AI or Computer Science, with C++ and GPU compute experience.
- Other info: Ideal for those passionate about generative AI and 3D vision.
The predicted salary is between 36000 - 60000 £ per year.
As a Computer Vision and Machine Learning Engineer, you will:
- Explore and experiment with emerging technologies to continuously improve our AI-driven content reconstruction, creation and edition processes.
- Review the state of the art computer vision research papers and develop prototype solutions.
- Develop cutting-edge software and algorithms for computer vision, image processing and deep learning models.
- Have technical responsibility for one or more significant sections of the assigned project.
- Translate complex functional and technical requirements into detailed design.
Essential Skills
- Masters or higher degree in ML/AI, Computer Science/Engineering, or related disciplines.
- Professional software development experience with modern C++.
- Experience with GPU compute in CUDA/OpenCL.
- Excellent communication, teamwork and a results-oriented attitude.
- Proficiency in problem-solving and debugging.
- Expertise in image-based 3D reconstruction: Photogrammetry, Neural Radiance Fields (NERF) or Gaussian Splatting techniques.
Desirable Skills
- Demonstrated experience in Generative AI, including hands-on implementation of state-of-the-art models.
- 3-D vision.
- Developing with machine learning frameworks – Tensorflow/Pytorch.
- Model optimization and knowledge distillation.
- Strong fundamentals in machine learning, NLP and Computer Vision.
- Publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, ECCV, IEEE TPAMI, AAAI or similar).
- Experience in Android application development.
Contact Detail:
Microtech Global Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GPU SW (OpenCL/CUDA)
✨Tip Number 1
Stay updated with the latest research in computer vision and machine learning. Follow key conferences like NeurIPS and CVPR to understand current trends and breakthroughs, which can help you during interviews and discussions.
✨Tip Number 2
Engage with the community by contributing to open-source projects related to GPU computing or computer vision. This not only enhances your skills but also showcases your commitment and expertise to potential employers.
✨Tip Number 3
Prepare to discuss your experience with CUDA/OpenCL in detail. Be ready to explain specific projects where you've implemented these technologies, as practical examples can significantly strengthen your candidacy.
✨Tip Number 4
Network with professionals in the field through platforms like LinkedIn or relevant meetups. Building connections can lead to referrals and insider information about job openings, making it easier to land a position with us.
We think you need these skills to ace GPU SW (OpenCL/CUDA)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C++, CUDA/OpenCL, and any relevant projects in computer vision or machine learning. Use specific examples to demonstrate your skills and achievements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and computer vision. Mention specific technologies or projects you've worked on that relate to the job description, and explain how you can contribute to their team.
Showcase Relevant Projects: If you have worked on projects involving image processing, 3D reconstruction, or generative AI, be sure to include these in your application. Provide links to any code repositories or publications if applicable.
Highlight Communication Skills: Since excellent communication and teamwork are essential for this role, mention any experiences where you successfully collaborated with others or presented complex ideas clearly. This will show you can work well in a team environment.
How to prepare for a job interview at Microtech Global Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with C++ and GPU computing in CUDA/OpenCL. Bring examples of projects where you've implemented these technologies, as this will demonstrate your hands-on expertise.
✨Discuss Recent Research
Familiarise yourself with the latest advancements in computer vision and machine learning. Be ready to talk about recent research papers you've reviewed and how they could apply to the company's projects.
✨Emphasise Teamwork and Communication
Highlight your ability to work collaboratively in a team setting. Share examples of how you've effectively communicated complex ideas to non-technical stakeholders, as this is crucial for success in the role.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills. Practice explaining your thought process when debugging or optimising algorithms, as this will showcase your analytical abilities.
