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- Tasks: Join us as a Research Engineer to innovate in generative AI and video creation.
- Company: Be part of a cutting-edge company leading in digital avatars and human clones.
- Benefits: Enjoy a competitive salary up to £80,000 and work on groundbreaking technology.
- Why this job: Transform research into real-world applications and enhance user experiences in an exciting field.
- Qualifications: Master's or PhD in Computer Science/Engineering with 1-3 years in machine learning required.
- Other info: Work in London and collaborate with a passionate team pushing the boundaries of AI.
The predicted salary is between 48000 - 64000 £ 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
Location: London
Salary: Up to £90,000
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.
Required Skills and Experience:
- 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 with deep learning platforms like PyTorch, and able to quickly learn new technologies.
Research Engineer employer: DeepRec.ai
Contact Detail:
DeepRec.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer
✨Tip Number 1
Familiarize yourself with the latest advancements in generative models, especially GANs and Diffusion models. Being able to discuss recent research or breakthroughs in these areas during your interview will demonstrate your passion and expertise.
✨Tip Number 2
Showcase any personal projects or contributions to open-source that involve machine learning or computer vision. This hands-on experience can set you apart and illustrate your ability to apply theoretical knowledge in practical scenarios.
✨Tip Number 3
Prepare to discuss how you've previously turned research into practical applications. Highlight specific examples where your work improved user experience or simplified processes, as this aligns closely with the role's responsibilities.
✨Tip Number 4
Network with professionals in the generative AI field, especially those who have experience with video creation technologies. Engaging with the community can provide insights and potentially lead to referrals, increasing your chances of landing an interview.
We think you need these skills to ace Research Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with generative models, machine learning, and computer vision. Emphasize any projects or roles where you've utilized Python and deep learning platforms like PyTorch.
Craft a Compelling Cover Letter: In your cover letter, express your passion for generative AI technologies and how your background aligns with the company's mission. Mention specific experiences that demonstrate your ability to convert research into practical applications.
Showcase Relevant Projects: If you have worked on projects related to video creation technology or generative models, be sure to include them in your application. Provide links to any relevant work or publications that showcase your skills.
Highlight Adaptability: Since the role requires a willingness to adapt to new programming languages and tools, mention any experiences where you've quickly learned new technologies or frameworks. This will show your flexibility and eagerness to grow.
How to prepare for a job interview at DeepRec.ai
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with generative models like GANs and Diffusion models. Highlight specific projects where you've applied these technologies, and be ready to explain the impact of your work on user experience.
✨Demonstrate Problem-Solving Skills
Think of examples where you've developed practical applications from research. Discuss how you approached challenges in video creation technology and what innovative solutions you implemented to enhance usability.
✨Familiarize Yourself with the Company’s Products
Research the company's current offerings and any recent advancements in their technology. Being knowledgeable about their products will show your genuine interest and help you align your skills with their needs.
✨Prepare for Technical Questions
Expect technical questions related to machine learning and computer vision. Brush up on your Python skills and be ready to demonstrate your understanding of deep learning platforms like PyTorch through practical examples or coding challenges.
