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For Companies At a Glance
- Tasks: Join us to innovate in AI-driven content creation and develop cutting-edge computer vision software.
- Company: Be part of a forward-thinking tech company pushing the boundaries of AI and machine learning.
- Benefits: Enjoy flexible working options, competitive pay, and opportunities for professional growth.
- Why this job: Work on exciting projects that shape the future of technology and make a real impact.
- Qualifications: Masters in ML/AI or Computer Science, with experience in C++ and GPU computing.
- Other info: Ideal for those passionate about generative AI and 3D vision; publications are a plus!
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.
GPU SW (OpenCL/CUDA) employer: Microtech Global Ltd
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
Familiarise yourself with the latest advancements in computer vision and machine learning. Keeping up-to-date with recent research papers, especially those related to photogrammetry and neural radiance fields, will not only enhance your knowledge but also show your passion for the field during interviews.
✨Tip Number 2
Engage with the community by participating in forums or attending conferences related to AI and machine learning. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals for job openings at StudySmarter.
✨Tip Number 3
Showcase your practical experience with CUDA/OpenCL through personal projects or contributions to open-source software. Having a portfolio that demonstrates your ability to develop algorithms and software for computer vision will make you stand out as a candidate.
✨Tip Number 4
Prepare to discuss your problem-solving approach and debugging techniques in detail. Being able to articulate how you've tackled complex issues in past projects will highlight your expertise and readiness for the technical challenges at StudySmarter.
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 Strong 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 the company's goals.
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, include examples of how you've successfully collaborated on projects or communicated complex ideas to non-technical stakeholders.
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 computer vision research papers, especially those related to image-based 3D reconstruction and generative AI. Being able to reference specific studies or techniques will show your commitment to staying current in the field.
✨Emphasise Teamwork and Communication
Since the role requires excellent communication and teamwork skills, prepare examples of how you've successfully collaborated on projects. Highlight any experiences where you translated complex technical requirements into understandable terms for non-technical team members.
✨Prepare for Problem-Solving Questions
Expect to face problem-solving scenarios during the interview. Brush up on your debugging skills and be ready to walk through your thought process when tackling complex issues, particularly in machine learning and computer vision contexts.
