At a Glance
- Tasks: Join a cutting-edge team to develop AI for image and video generation.
- Company: Innovative research team with a strong track record in AI applications.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and real-world impact.
- Why this job: Be at the forefront of AI technology and contribute to groundbreaking projects.
- Qualifications: Experience in generative models, reinforcement learning, or robot navigation is a plus.
The predicted salary is between 60000 - 80000 € per year.
Image and video generation for world model navigation, interaction and planning. You'd be joining a research team that focuses mostly on commercialization and demo with end-to-end ownership. The team has a strong track record on a wide range of applications from audio to image and video generation, and on-device and server deployments, with publications in top venues such as ICML, CVPR, ICCV, etc.
We're expanding into PhysicalAI and world models for navigation, interaction and planning, and we are interested in candidates with experiences in a few of the following:
- Generative models
- Diffusion/flow
- Model/architectural efficiency
- Reinforcement learning
- Robot navigation
- Planning and simulation
- Physical demos
ML Research Scientist (GenAI) employer: microTECH Global LTD
As a leading innovator in the field of generative AI, our company offers an exceptional work environment that fosters creativity and collaboration. Located in a vibrant tech hub, we provide our ML Research Scientists with access to cutting-edge resources, opportunities for professional development, and a culture that values diverse perspectives and groundbreaking ideas. Join us to be part of a team that not only pushes the boundaries of technology but also prioritises employee growth and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land ML Research Scientist (GenAI)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who are already working in ML or GenAI. Attend meetups, webinars, or conferences related to your field. You never know who might have a lead on a job or can give you insider tips!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to generative models or reinforcement learning. Having tangible examples of your work can really set you apart from other candidates.
✨Tip Number 3
Prepare for interviews by brushing up on key concepts in ML and GenAI. Be ready to discuss your experience with model efficiency and robot navigation. Practising common interview questions can help you feel more confident when it’s your turn to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are passionate about ML research. Your next big opportunity could be just a click away, so make sure to check out our openings regularly!
We think you need these skills to ace ML Research Scientist (GenAI)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in generative models, reinforcement learning, and any publications you've contributed to. We want to see how your background aligns with our focus on image and video generation!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about the role and how your skills can contribute to our research team. Be specific about your experiences with world models and planning – we love seeing passion and clarity!
Showcase Your Projects:If you’ve worked on projects related to audio, image, or video generation, make sure to include them! We’re keen to see your hands-on experience, especially if it involves physical demos or server deployments.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at microTECH Global LTD
✨Know Your Generative Models
Make sure you brush up on your knowledge of generative models, especially diffusion and flow techniques. Be ready to discuss how these models can be applied to image and video generation, as well as their efficiency in real-world applications.
✨Showcase Your Research Experience
Prepare to talk about your previous research projects, particularly those that have led to publications in top venues like ICML or CVPR. Highlight your contributions and the impact of your work, as this will demonstrate your capability and fit for the team.
✨Understand PhysicalAI Applications
Since the team is expanding into PhysicalAI, it’s crucial to familiarise yourself with its principles. Think about how you can apply your skills in generative models to navigation, interaction, and planning in physical environments.
✨Be Ready for Technical Questions
Expect technical questions related to reinforcement learning, robot navigation, and simulation. Prepare by reviewing key concepts and be ready to solve problems on the spot, as this will showcase your analytical skills and practical knowledge.
