At a Glance
- Tasks: Design AI agents and integrate with data infrastructure for neuro-contextual advertising.
- Company: Innovative tech company in the UK focused on cutting-edge advertising solutions.
- Benefits: Flexible remote work, competitive salary, and opportunities for impactful contributions.
- Other info: Ideal for those eager to make a difference in a dynamic environment.
- Why this job: Join a pioneering team and shape the future of advertising technology.
- Qualifications: 3-5 years in ML systems, strong Python skills, and relevant academic background.
The predicted salary is between 50000 - 70000 £ per year.
An innovative tech company in the UK is seeking a Data Scientist to help build neuro-contextual advertising systems at scale. This role requires 3-5 years of experience in ML systems and strong Python skills, along with a solid academic background in relevant fields.
Responsibilities include:
- Designing AI agents
- Integrating with data infrastructure
- Evaluating performance
The position offers a flexible work model allowing for remote options and is ideal for someone ready to make an impactful contribution.
AI Agent Scientist - Production ML, Remote employer: Seedtag
Join an innovative tech company that champions creativity and collaboration, offering a flexible remote work model that empowers you to thrive. With a strong focus on employee growth, we provide ample opportunities for professional development and the chance to work on cutting-edge projects in neuro-contextual advertising. Our inclusive work culture values diverse perspectives, making it an excellent environment for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Agent Scientist - Production ML, Remote
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, or join online forums. 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 ML systems and Python. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and coding challenges. Practice makes perfect, so consider mock interviews with friends or use online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace AI Agent Scientist - Production ML, Remote
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with ML systems and Python in your application. We want to see how your background aligns with the role, so don’t hold back on showcasing your relevant projects!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. We love seeing how you connect your skills to our needs, especially when it comes to designing AI agents and integrating with data infrastructure.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences shine through without unnecessary fluff.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Seedtag
✨Know Your ML Systems
Make sure you brush up on your knowledge of machine learning systems. Be prepared to discuss your past experiences in designing and implementing these systems, as well as any challenges you've faced and how you overcame them.
✨Show Off Your Python Skills
Since strong Python skills are a must for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand.
✨Understand Neuro-Contextual Advertising
Familiarise yourself with neuro-contextual advertising systems. Research how they work and think about how your skills can contribute to building these systems at scale. This will show your genuine interest in the role and the company.
✨Prepare Questions About the Role
Have a few thoughtful questions ready to ask during the interview. This could be about the team dynamics, the tech stack they use, or how success is measured in this position. It shows that you're engaged and serious about making an impact.
