At a Glance
- Tasks: Advance AI technology by developing deep reinforcement learning models and intelligent automation systems.
- Company: Kodamai is revolutionising the digital economy with innovative AI solutions.
- Benefits: Hybrid working model, supportive team culture, and opportunities for continuous learning.
- Why this job: Join a pioneering team and shape the future of AI-driven enterprises.
- Qualifications: Experience in deep reinforcement learning and a passion for machine learning.
- Other info: Diverse and inclusive workplace that values unconventional thinking.
The predicted salary is between 36000 - 60000 £ per year.
Company Introduction
Kodamai is pioneering a new era in the digital economy by building collaborative communities of AI agents. Our mission is to deliver a transformative wave of business automation, driving significant improvements in productivity, cost efficiency, and operational excellence. We aspire to become the future operating system for AI-driven enterprises.
Our Glasgow, UK office embraces a hybrid working model, encouraging three days of in-person collaboration each week, while offering remote flexibility for outstanding candidates. We are passionate about cultivating a diverse and inclusive workplace, where unconventional thinking and scientific rigor are at the core of our approach. Kodamai leads with innovation, conducting original AI research and applying rigorous mathematical foundations to deliver unique solutions for our clients.
We believe our employees are our greatest asset. We foster a supportive, unified team that values open communication, humility, honesty, and teamwork. We actively encourage diverse perspectives and problem-solving, with a commitment to continuous learning and excellence.
Deep Reinforcement Learning Engineer
Kodamai is seeking an experienced engineer with a strong background in model-based deep reinforcement learning, or hands-on experience applying machine learning techniques to program synthesis or theorem proving. Familiarity with category theory is a plus, though a willingness to learn is equally valued.
This role involves contributing to the advancement of Kodamai\’s orchestration language and platform, integrating machine learning capabilities, and supporting the development of intelligent automation systems. You will collaborate closely with our team as we build the next generation of AI agents.
If you meet these qualifications and are interested in joining our innovative team, please email your CV to careers@kodamai.com.
How to Apply
To apply, please send your CV and a cover letter detailing your relevant experience and fit for this role to careers@kodamai.com The position will remain open until filled.
Deep Reinforcement Learning Engineer employer: Kodamai
Contact Detail:
Kodamai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Deep Reinforcement Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI and machine learning space, especially those who work at Kodamai. A friendly chat can open doors and give you insights that a CV just can't.
✨Tip Number 2
Show off your skills! If you've got projects or research related to deep reinforcement learning, make sure to showcase them. A portfolio can speak volumes about your capabilities and passion.
✨Tip Number 3
Prepare for the interview! Brush up on your technical knowledge and be ready to discuss how you can contribute to Kodamai's mission. Think about how your experience aligns with their goals.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in being part of our innovative team at Kodamai.
We think you need these skills to ace Deep Reinforcement Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Deep Reinforcement Learning Engineer role. Highlight your relevant experience and skills that align with Kodamai's mission and the specific requirements mentioned in the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. Don’t forget to mention any unique perspectives you bring to the table!
Showcase Your Projects: If you've worked on any projects related to model-based deep reinforcement learning or machine learning techniques, be sure to include them. We love seeing practical applications of your skills, so share what you've done and the impact it had!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Don’t miss out on this opportunity!
How to prepare for a job interview at Kodamai
✨Know Your Stuff
Make sure you brush up on deep reinforcement learning concepts and any relevant machine learning techniques. Be ready to discuss your hands-on experience and how it relates to model-based approaches, as well as any projects you've worked on that showcase your skills.
✨Show Your Passion for AI
Kodamai values innovation and a passion for AI research. Be prepared to share your thoughts on the future of AI and how you see yourself contributing to their mission. This is your chance to demonstrate your enthusiasm for the field and how it aligns with their goals.
✨Emphasise Teamwork
Since collaboration is key at Kodamai, think of examples where you've successfully worked in a team. Highlight your communication skills and how you value diverse perspectives. This will show that you're not just a great engineer, but also a team player who fits into their culture.
✨Ask Thoughtful Questions
Prepare some insightful questions about Kodamai's projects, their approach to AI, or their hybrid working model. This shows that you're genuinely interested in the role and the company, and it gives you a chance to assess if it's the right fit for you too.