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 innovative solutions and career advancement.
- 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 - 60000 € per year.
About the Project
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.
Ideal Qualifications
- 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.
- Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.
Nice to have
- 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.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
Remote working/work at home options are available for this role.
ML Engineer (Remote) (Brighton) in Eastbourne employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing ML Engineers to shape the future of AI technology from the comfort of their homes in Brighton. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development while working on cutting-edge projects that impact the world’s leading AI organisations. Our commitment to flexibility and remote work ensures a healthy work-life balance, making Outlier a rewarding place to advance your career in machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer (Remote) (Brighton) in Eastbourne
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community on LinkedIn or Twitter. Join relevant groups and participate in discussions to get your name out there and show off your passion for the field.
✨Tip Number 2
Showcase your skills! Create a portfolio of projects that highlight your experience with backend engineering and AI automation. This could be anything from GitHub repos to personal blogs explaining your thought process on complex systems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Practice coding challenges and system design questions that are relevant to the role. We want you to feel confident when discussing your experience with multi-turn interactions and SQL databases.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in joining our team and shaping the future of autonomous agents.
We think you need these skills to ace ML Engineer (Remote) (Brighton) in Eastbourne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the ML Engineer role. Highlight your experience in backend engineering and any projects that showcase your skills in AI automation or complex systems integration. We want to see how you can contribute to our mission!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Include specific examples of how you've built production-grade software or worked with major programming languages like Python or JavaScript. This helps us see your practical experience in action.
Be Clear and Concise:When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate attention to detail, so make sure your application is well-structured and free from errors.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being considered. It’s super easy and ensures your application goes directly to us. Plus, we love seeing candidates who take the initiative!
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 might be asked to demonstrate your understanding of databases during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that highlight your experience with backend engineering and AI automation. Be ready to discuss how you've built production-grade software and handled complex system integrations.
✨Understand the Project
Familiarise yourself with Outlier's projects, especially their work with Large Language Models. Being able to discuss how you can contribute to training advanced generative systems will show your genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current challenges or future projects. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals.
