At a Glance
- Tasks: Build and deploy cutting-edge conversational AI models from concept to production.
- Company: Innovative AI tech company based in Greater London.
- Benefits: Competitive salary, equity options, and a dynamic work environment.
- Other info: Collaborative culture with opportunities for professional growth.
- Why this job: Join a pioneering team and shape the future of AI technology.
- Qualifications: 5+ years in AI/ML, fluent in Python, and production deployment experience.
The predicted salary is between 48000 - 72000 £ per year.
An innovative AI technology company in Greater London is seeking a Senior Research Engineer. This role involves building industry-leading conversational AI models and taking them from idea to production. The position requires strong engineering skills to enhance AI capabilities, optimize user experience, and collaborate with product engineers.
The ideal candidate has over 5 years of AI/ML experience, is fluent in Python, and has a track record of deploying models in production environments. Competitive compensation is offered, including equity.
Senior Conversational AI Research Engineer employer: Decagon AI, Inc.
Join an innovative AI technology company in Greater London, where we foster a collaborative and dynamic work culture that encourages creativity and professional growth. As a Senior Conversational AI Research Engineer, you will have the opportunity to work on cutting-edge projects, receive competitive compensation including equity, and be part of a team that values your contributions and supports your career development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Conversational AI Research Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community, attend meetups, and connect 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 involving conversational AI. 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!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from passionate candidates. It shows initiative and gives us a chance to see your enthusiasm for the role.
We think you need these skills to ace Senior Conversational AI Research Engineer
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your engineering skills and experience with AI/ML in your application. We want to see how you've taken ideas to production and what tools you've used, especially if you're fluent in Python!
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Senior Conversational AI Research Engineer role. We love seeing how your past experiences align with what we’re looking for.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and passion for the role.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Decagon AI, Inc.
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in conversational AI. Be prepared to discuss your previous projects, especially those where you've deployed models in production. This shows your hands-on experience and passion for the field.
✨Showcase Your Python Skills
Since fluency in Python is a must, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practising common algorithms and data structures can really help here.
✨Collaboration is Key
This role involves working closely with product engineers, so highlight your teamwork experiences. Share examples of how you've successfully collaborated on projects, resolved conflicts, or contributed to a team’s success. It’s all about showing you can work well with others!
✨Prepare Questions That Matter
Interviews are a two-way street, so come armed with thoughtful questions about the company’s AI vision and the specific challenges they face. This not only shows your interest but also helps you gauge if the company is the right fit for you.
