At a Glance
- Tasks: Join the Avatar Video Team to create and enhance generative avatars using cutting-edge technology.
- Company: Innovative tech company focused on generative AI and computer vision.
- Benefits: Attractive salary, health benefits, flexible work options, and career development opportunities.
- Other info: Dynamic, inclusive culture with regular social events and strong focus on work-life balance.
- Why this job: Make a real impact in the exciting field of generative AI and computer vision.
- Qualifications: Master’s or PhD in relevant field with 3+ years in machine learning and computer vision.
The predicted salary is between 60000 - 80000 £ per year.
Key Responsibilities
- Generative Avatar Performance: Work at the heart of the Avatar Video Team to develop and enhance our generative avatar capabilities. Using conditioning signals such as audio, video, or text, create models that guide avatars' verbal and non‑verbal cues.
- High‑Quality Code Development: Take ownership of production pipelines, write clean and efficient code, and define best practices. Ensure our codebase is of high quality and contributes to the overall stability and performance of our product.
- Algorithm and Model Development: Develop, maintain, and deploy computer vision algorithms and models. Adapt off‑the‑shelf solutions for our specific needs and integrate them seamlessly into our product.
- End‑to‑End ML Lifecycle: Own the full machine‑learning lifecycle from ideation and development to testing, validation, and deployment. Ensure models are optimized for real‑time performance and scalability.
- Research and Innovation: Explore novel methods to solve challenges in the generative AI space. Stay up‑to‑date with the latest advancements and incorporate them into our development processes.
- Collaboration and Code Reviews: Engage in code reviews and collaborate with team members to ensure best practices are followed. Contribute to a culture of continuous improvement and knowledge sharing.
- Cloud Deployment: Work on deploying models and services on cloud infrastructure. Utilize Docker, Azure, and other cloud tools to ensure robust and scalable deployments.
Qualifications
- A Master’s or PhD in Computer Science, Engineering, or a related field.
- 3+ years of experience in machine learning and computer vision, with practical application of generative models.
- Proficiency in Python and experience with deep‑learning frameworks such as PyTorch.
- Familiarity with cloud deployment tools such as Docker and Azure.
- Experience with CI/CD processes and tools.
- Strong problem‑solving skills and the ability to communicate effectively in a diverse team environment.
- Passion for software development and writing clean, maintainable code.
- Experience with C++ is a plus.
Benefits
- Competitive Compensation: Attractive salary, stock options, and performance bonuses.
- Comprehensive Health Benefits: Private medical insurance covering mental health support, dental, vision, cashback, and gym discounts.
- Flexible Work Environment: Enjoy a hybrid work setup with the option to work from our modern office in London or remotely.
- Career Development: Benefit from extensive opportunities for learning, mentorship, and career growth, including access to industry leaders and cutting‑edge research.
- Inclusive and Dynamic Culture: Be part of a vibrant, supportive workplace that values diversity and inclusion. Regular social events, company retreats, and a mutual respect and collaboration culture.
- Work‑life balance: Very generous annual leave provided you are on target, ensuring you have time to recharge and pursue personal interests.
Research Engineer, Computer Vision in London employer: Yepic AI
As a Research Engineer in Computer Vision, you will thrive in a dynamic and inclusive environment that champions innovation and collaboration. With competitive compensation, comprehensive health benefits, and a flexible work setup in our modern London office, we prioritise your career development and work-life balance, ensuring you have the resources to excel and grow in your role.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer, Computer Vision in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to computer vision and generative models. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team and contributing to our exciting projects.
We think you need these skills to ace Research Engineer, Computer Vision in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Research Engineer role. Highlight your experience with generative models and computer vision, and don’t forget to mention any relevant projects or achievements that showcase your skills.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about generative AI and how your background makes you a perfect fit for our team. Keep it engaging and personal – we want to get to know you!
Showcase Your Code Skills:If you have a GitHub or portfolio, include it! We love seeing your coding style and projects. Make sure to highlight any clean, efficient code you've written, especially in Python or C++, as this will resonate with us.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Yepic AI
✨Know Your Stuff
Make sure you brush up on the latest trends in computer vision and generative models. Be ready to discuss your past projects and how they relate to the role. This shows you're not just a fan of the tech but have hands-on experience.
✨Showcase Your Code Skills
Prepare to talk about your coding practices, especially in Python and any deep-learning frameworks you've used. Bring examples of clean, efficient code you've written, and be ready to discuss how you ensure high-quality code in production pipelines.
✨Demonstrate Problem-Solving Abilities
Think of specific challenges you've faced in machine learning or computer vision and how you tackled them. This will highlight your problem-solving skills and your ability to adapt off-the-shelf solutions to meet specific needs.
✨Engage in Collaboration
Be prepared to discuss your experience with code reviews and teamwork. Highlight how you contribute to a culture of continuous improvement and knowledge sharing, as collaboration is key in this role.
