At a Glance
- Tasks: Join a team to develop groundbreaking AI systems and multimodal models.
- Company: microTECH Global LTD, a leading AI research company in London.
- Benefits: Permanent position with competitive salary and opportunities for growth.
- Other info: Collaborate with an international team in a vibrant King’s Cross hub.
- Why this job: Be at the forefront of AI innovation and make a real difference.
- Qualifications: Bachelor's degree in relevant fields and strong Python skills required.
The predicted salary is between 50000 - 60000 £ per year.
micro TECH Global LTD in London invites applications for a permanent, full-time AI Research Engineer role.
You will contribute to frontier multimodal model breakthroughs from our King’s Cross hub, collaborating with an international research team to translate insights into production-ready systems.
Requirements include a Bachelor’s degree or higher in Computer Science, Mathematics, Statistics, or related fields, strong Python skills, and practical experience with Py Torch.
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Multimodal Vision Engineer — AI Systems & Research employer: microTECH Global LTD
Microtech Global Ltd is an exceptional employer, offering a vibrant work culture in the heart of Cambridge, UK, where innovation thrives. Employees benefit from engaging in pioneering projects like OpenTitan and Ibex RISC-V CPU, alongside opportunities for professional growth and collaboration with industry leaders. With a focus on cutting-edge technology and a supportive environment, this role is perfect for those seeking meaningful and rewarding employment in digital design verification.
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We think this is how you could land Multimodal Vision Engineer — AI Systems & Research
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We think you need these skills to ace Multimodal Vision Engineer — AI Systems & Research
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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