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- Tasks: Join us as a Research Engineer to innovate video creation technology using generative models.
- Company: Be part of a cutting-edge company leading in generative AI technologies with recent Series A funding.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and innovation in AI.
- Why this job: Make a real impact by transforming research into user-friendly features that enhance video creation.
- Qualifications: Master's or PhD in Computer Science/Engineering; 1-3 years in machine learning and computer vision required.
- Other info: Must be skilled in Python and open to learning new programming languages.
The predicted salary is between 36000 - 60000 £ per year.
Join a leader in generative AI technologies, who have recently secured Series A funding to advance our work in digital avatars and human clones.
Role: Research Engineer
Innovation in Product Development: Utilize your expertise in generative models, such as GANs, Diffusion models, and other multi-modal models, to advance our video creation technology. You’ll be tasked with converting cutting-edge research into practical, innovative features that improve user experience and distinguish our offerings.
Developing Practical Applications: Use your research skills to craft scalable solutions that enhance our platform and simplify the video creation experience, making it more intuitive and accessible for all users.
Hold a Master’s or PhD in Computer Science, Engineering, or a similar discipline.
~1-3 years of experience in machine learning and computer vision, with a focus on the practical use of generative models.
~ Skilled in Python, with a willingness to adapt to other programming languages and tools as needed.
~
Research Engineer (Research) employer: DeepRec.ai
Contact Detail:
DeepRec.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer (Research)
✨Tip Number 1
Familiarize yourself with the latest advancements in generative models like GANs and Diffusion models. Being able to discuss recent research or breakthroughs during your interview can really set you apart.
✨Tip Number 2
Showcase any personal projects or contributions to open-source that demonstrate your skills in machine learning and computer vision. Practical examples of your work can make a strong impression.
✨Tip Number 3
Network with professionals in the generative AI field through platforms like LinkedIn or relevant conferences. Building connections can provide insights into the company culture and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss how you would approach converting research into practical applications. Think about specific features you could develop that would enhance user experience on the platform.
We think you need these skills to ace Research Engineer (Research)
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Research Engineer position. Understand the key responsibilities and required skills, especially focusing on generative models and practical applications in video creation.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with machine learning, computer vision, and generative models. Provide specific examples of projects or research that demonstrate your expertise in these areas.
Showcase Technical Skills: Clearly outline your programming skills, particularly in Python. If you have experience with other languages or tools relevant to the role, mention those as well to show your adaptability.
Craft a Compelling Cover Letter: Write a personalized cover letter that connects your background and interests with the company's mission in generative AI technologies. Explain why you're excited about the opportunity and how you can contribute to their innovative projects.
How to prepare for a job interview at DeepRec.ai
✨Showcase Your Technical Skills
Be prepared to discuss your experience with generative models like GANs and Diffusion models. Bring examples of projects where you've applied these technologies, and be ready to explain the impact they had on user experience.
✨Demonstrate Problem-Solving Abilities
Think of specific challenges you've faced in previous roles and how you overcame them. Highlight your ability to develop scalable solutions that enhance platform functionality and simplify processes.
✨Express Your Passion for Innovation
Convey your enthusiasm for advancing video creation technology. Discuss any personal projects or research that align with the company's goals, showing that you're not just a fit for the role but also genuinely interested in their mission.
✨Prepare for Technical Questions
Expect technical questions related to machine learning and computer vision. Brush up on key concepts and be ready to solve problems on the spot, demonstrating your analytical thinking and coding skills in Python.
