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- Tasks: Drive innovation in video creation using generative AI models like GANs and Diffusion.
- Company: Join a cutting-edge company leading the way in generative AI technologies.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and creativity.
- Why this job: Be at the forefront of technology, transforming research into real-world applications.
- Qualifications: Master's or PhD in Computer Science/Engineering; 1-3 years in machine learning required.
- Other info: Work with a passionate team dedicated to advancing digital avatars and human clones.
The predicted salary is between 43200 - 72000 £ 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.
~
Experienced Research Engineer employer: DeepRec.ai
Contact Detail:
DeepRec.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Experienced Research Engineer
✨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 projects or experiences where you've successfully applied machine learning and computer vision techniques. Real-world examples of how you've solved problems using these technologies will demonstrate your practical skills.
✨Tip Number 3
Be prepared to discuss how you would approach developing scalable solutions for video creation. Think about user experience and how your innovations could simplify the process for users.
✨Tip Number 4
Highlight your programming skills, especially in Python, but also express your willingness to learn new languages or tools. This adaptability is crucial in a fast-paced tech environment like ours.
We think you need these skills to ace Experienced Research Engineer
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in machine learning and computer vision, particularly with generative models like GANs and Diffusion models. Provide specific examples of projects or research that demonstrate your expertise.
Showcase Technical Skills: Clearly list your programming skills, especially in Python. If you have experience with other languages or tools, mention them as well. This will show your adaptability and technical proficiency.
Tailor Your Application: Customize your CV and cover letter to reflect the job description. Use keywords from the posting to align your application with the company's needs and values, particularly focusing on innovation and user experience.
Express Passion for AI: Convey your enthusiasm for generative AI technologies and how they can transform video creation. Share your vision for the future of this field and how you can contribute to the company's goals.
How to prepare for a job interview at DeepRec.ai
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those involving generative models like GANs and Diffusion models. Highlight how your work has contributed to practical applications and improved user experiences.
✨Demonstrate Technical Proficiency
Since the role requires strong skills in Python and familiarity with other programming languages, be ready to showcase your coding abilities. You might be asked to solve a problem or explain your thought process while coding.
✨Discuss Innovation in Product Development
Think about how you can apply your expertise to innovate within the company's product offerings. Prepare examples of how you've turned research into practical features in past roles, emphasizing your ability to enhance user experience.
✨Prepare Questions About the Company’s Vision
Research the company’s recent advancements in generative AI technologies and their future goals. Prepare insightful questions that show your interest in their mission and how you can contribute to their success.
