At a Glance
- Tasks: Develop cutting-edge generative avatars and enhance real-time video interactions.
- Company: Join Yepic AI, a leader in emotionally intelligent AI technology.
- Benefits: Competitive salary, health benefits, flexible work, and career development opportunities.
- Other info: Dynamic culture with regular social events and a focus on work-life balance.
- Why this job: Be at the forefront of AI innovation and redefine human-AI interactions.
- Qualifications: Master’s or PhD in Computer Science, with 3+ years in machine learning and computer vision.
The predicted salary is between 60000 - 80000 £ per year.
Join Yepic AI and revolutionise real-time video interactions. Yepic AI is pioneering the next era of computer interfaces with emotionally intelligent, real-time video agents. Our mission is to develop the world’s fastest and most emotive AI avatar technology, transforming e-learning and customer experience (CX). As we continue our rapid growth, we are searching for passionate Research Engineers specialising in Computer Vision to propel our mission forward. If you’re eager to disrupt and redefine how humans interact with AI, this is your next big opportunity!
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 optimised 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. Utilise Docker, Azure, and other cloud tools to ensure robust and scalable deployments.
- 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.
- 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.
At Yepic AI, we are redefining the future of customer service and training with our emotionally intelligent, real-time video agents. Our technology allows users to interact with highly expressive digital personas that understand and respond to emotional nuances, providing a more human-like AI interaction experience. We prioritise privacy and API-driven utility, ensuring our AI lives on the edge without compromising user data. Join us in creating the most natural and expressive avatars, featuring superior lip-syncing and the world’s smallest and fastest rendering engine. Be part of a team 12 months ahead of the competition, poised to revolutionise human-AI interactions.
Yepic AI has garnered over 80,000 users and 1,000+ customers. We are on track to scale our revenue to $30M ARR and raise our Series B in the next 12-18 months.
Our commitment to innovation and excellence has been recognised by industry leaders, and we continue to push the boundaries of what's possible in AI video technology.
Research Engineer, Computer Vision employer: Yepic AI
Yepic AI is an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. With competitive compensation, comprehensive health benefits, and extensive career development opportunities, employees are empowered to grow and thrive in their roles. The flexible work environment, combined with the chance to work on cutting-edge technology in the heart of London, makes Yepic AI a truly rewarding place to advance your career in computer vision and AI.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer, Computer Vision
✨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 to hiring managers.
✨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. Confidence is key, so own your expertise!
✨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 genuinely interested in joining Yepic AI and making a difference in the world of AI technology.
We think you need these skills to ace Research Engineer, Computer Vision
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for computer vision and AI shine through. We want to see that you're not just qualified, but genuinely excited about the work we do at Yepic AI!
Tailor Your CV:Make sure your CV highlights relevant experience in machine learning and generative models. We love seeing how your skills align with our mission, so don’t be shy about showcasing your best projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for our team. Share specific examples of your work and how it relates to the role. We appreciate a personal touch!
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It’s the quickest way for us to see your application and get you into the process. We can’t wait to hear from you!
How to prepare for a job interview at Yepic AI
✨Know Your Stuff
Make sure you brush up on your computer vision concepts and generative models. Be ready to discuss your past projects and how they relate to the role at Yepic AI. They’ll want to see your passion for the field, so don’t hold back!
✨Showcase Your Coding Skills
Since high-quality code development is key, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your approach to writing clean, maintainable code. Practise coding challenges in Python and get familiar with deep learning frameworks like PyTorch.
✨Understand the ML Lifecycle
Familiarise yourself with the end-to-end machine learning lifecycle. Be ready to talk about how you’ve handled model development, testing, and deployment in previous roles. Highlight any experience you have with cloud tools like Docker and Azure, as this will be crucial for the position.
✨Be a Team Player
Collaboration is vital at Yepic AI, so be prepared to discuss how you’ve worked in teams before. Share examples of how you’ve contributed to code reviews or knowledge sharing. They’ll appreciate your ability to communicate effectively and work well within a diverse team environment.
