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- Tasks: Develop and optimise cutting-edge video models that impact real-world applications.
- Company: Leading AI video platform with a focus on innovation and collaboration.
- Benefits: Competitive pay, flexible working conditions, and a culture of creativity.
- Why this job: Join a team shaping the future of human-centric video technology.
- Qualifications: Experience in deep learning, Python, PyTorch, and diffusion models required.
- Other info: Remote work opportunity with a dynamic and innovative team.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI video platform is seeking a Research Engineer to join the Video Pre-Training team. This role involves developing models for human-centric video, focusing on applied research that directly influences real-world products.
Responsibilities include:
- Scaling deep learning models
- Optimizing performance
Candidates should have experience with:
- Deep learning
- Python
- PyTorch
- Diffusion models
The company offers competitive compensation and flexible working conditions, fostering a culture of innovation and impact.
Senior Video Foundation Models Engineer — Remote in London employer: Synthesia
Contact Detail:
Synthesia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Video Foundation Models Engineer — Remote in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and video tech space on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with deep learning, Python, and PyTorch. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on diffusion models and scaling techniques. We want to see you shine, so practice explaining your thought process clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Video Foundation Models Engineer — Remote in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with deep learning, Python, and PyTorch in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your projects or any relevant work you've done!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your background in scaling deep learning models and optimising performance can contribute to our Video Pre-Training team. We love seeing candidates who take the time to connect their experience with what we do!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences. Avoid fluff – let your skills shine through!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our innovative team!
How to prepare for a job interview at Synthesia
✨Know Your Models
Make sure you brush up on your knowledge of deep learning models, especially diffusion models. Be ready to discuss how you've scaled and optimised these in past projects. This shows you're not just familiar with the theory but have practical experience too.
✨Showcase Your Python Skills
Since Python is a key requirement, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your code. Practise coding challenges related to video processing or model optimisation to feel confident.
✨Research the Company’s Products
Dive into the company’s existing products and think about how your work could enhance them. Being able to discuss specific applications of your research in their context will show that you’re genuinely interested and can contribute meaningfully.
✨Prepare Questions About Innovation
The company values innovation, so come prepared with questions that reflect your curiosity about their approach to research and development. Ask about their future projects or how they foster a culture of creativity within the team.