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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 with recent Series A funding.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and innovation.
- Why this job: Make an impact by transforming research into user-friendly features that enhance digital experiences.
- Qualifications: Master's or PhD in Computer Science/Engineering; 1-3 years in machine learning and computer vision required.
- Other info: Python skills are essential; adaptability to other languages is a plus.
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 (D employer: DeepRec.ai
Contact Detail:
DeepRec.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer (D
✨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 in these areas 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 on our hiring team.
✨Tip Number 3
Prepare to discuss how you would approach converting theoretical research into practical applications. We value innovative thinkers who can bridge the gap between research and real-world solutions.
✨Tip Number 4
Be ready to talk about your experience with Python and any other programming languages you've used. Highlighting your adaptability and willingness to learn new tools will resonate well with us.
We think you need these skills to ace Research Engineer (D
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 in generative models and video creation technology.
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 improve user accessibility.
✨Prepare for Coding Challenges
Since the role requires proficiency in Python, practice coding problems related to machine learning and computer vision. Be ready to demonstrate your coding skills during the interview, as practical assessments may be part of the process.
✨Express Your Passion for Innovation
Convey your enthusiasm for generative AI technologies and how you stay updated with the latest advancements. Discuss any personal projects or research that align with the company's mission to innovate in video creation technology.
