At a Glance
- Tasks: Help shape the future of AI by training advanced generative systems.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Enjoy remote work flexibility, competitive salary, and growth opportunities.
- Other info: Dynamic team environment focused on real-world problem-solving.
- Why this job: Make a real impact on cutting-edge AI projects with top organisations.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 50000 - 70000 € per year.
Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows.
Whether you are a passionate orchestration guru or experienced software developer, we want you to help us train the world's most advanced generative systems.
- 2+ years of experience in backend engineering, AI automation, or complex systems integration.
- Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).
- Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.
- Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
- Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
- Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.
- High level of comfort implementing persistent state and session discovery to track agent progress.
Locations
ML Engineer (Remote) (Southampton) in Bordon, Hampshire employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing ML Engineers to thrive in shaping the future of AI technology from the comfort of their own homes in Southampton. With a strong emphasis on employee growth, we offer opportunities to work on cutting-edge projects alongside leading AI organisations, ensuring that your contributions have a meaningful impact on the development of advanced generative systems. Join us to be part of a dynamic team that values creativity, expertise, and the pursuit of excellence in the rapidly evolving field of artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer (Remote) (Southampton) in Bordon, Hampshire
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community on LinkedIn or at local meetups. 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 involving backend engineering or AI automation. This is your chance to demonstrate your expertise in building production-grade software and handling complex systems.
✨Tip Number 3
Prepare for interviews by brushing up on your coding skills and system design principles. Practice common technical questions related to Python, JavaScript, or SQL databases. We want you to feel confident when discussing your experience with multi-turn interactions and real-world problem-solving.
✨Tip Number 4
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 our mission to shape the future of autonomous agents.
We think you need these skills to ace ML Engineer (Remote) (Southampton) in Bordon, Hampshire
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with backend engineering and AI automation. We want to see how you've built production-grade software and tackled complex systems integration in your previous roles.
Be Specific About Your Experience:When detailing your past projects, focus on the languages you've used and the tools you've integrated. Mention any hands-on experience with live environments and multi-turn interactions to really catch our eye.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the skills and experiences that align with our job description. We love seeing candidates who take the time to connect their background with what we’re looking for.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Stack
Make sure you’re well-versed in the programming languages mentioned in the job description, like Python or JavaScript. Brush up on your SQL skills too, as you'll likely be asked about your experience with databases and how you've used them in past projects.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built production-grade software. Highlight your role in modular separation and how you’ve tackled complex systems integration. Real-world examples will help demonstrate your expertise and problem-solving skills.
✨Understand Multi-Turn Interactions
Since the role involves handling multi-turn system interactions, be ready to explain how you've managed these in previous roles. Discuss any challenges you faced and how you overcame them, especially in live environments.
✨Familiarise Yourself with AI Tools
Research the tools and APIs mentioned in the job description, like Supabase and Gmail. Being able to discuss how you've integrated agents with these tools will show your practical experience and readiness for the role.
