At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement.
- Why this job: Join us to make a real impact on cutting-edge AI technology.
- 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) (Leeds) employer: Employer near you
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing ML Engineers to thrive in a remote setting while shaping the future of AI technology. With a strong focus on employee growth, we offer opportunities to work on cutting-edge projects with leading AI organisations, ensuring that your contributions have a meaningful impact. Join us to be part of a dynamic team that values creativity, technical excellence, and the pursuit of groundbreaking solutions in the field of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer (Remote) (Leeds)
✨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
Prepare for those interviews by brushing up on your technical skills. Practice coding challenges and system design questions that are relevant to ML engineering. We want you to feel confident and ready to impress!
✨Tip Number 3
Don’t forget to showcase your projects! Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really set you apart. We love seeing what you’ve built and how you think!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who want to shape the future of AI with us.
We think you need these skills to ace ML Engineer (Remote) (Leeds)
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 your background aligns with what we're looking for!
Showcase Your Skills:When writing your application, don’t just list your skills—show us how you've used them! Include specific examples of projects where you built production-grade software or worked with languages like Python or JavaScript. This helps us understand your hands-on experience.
Be Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points for key achievements and keep your language professional yet approachable. We want to get to know you without sifting through fluff!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Employer near you
✨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 during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built production-grade software. Highlight your role in these projects, focusing on how you handled complex systems integration and any challenges you overcame.
✨Understand the Company’s Mission
Familiarise yourself with Outlier's work in AI and autonomous agents. Be ready to discuss how your skills can contribute to their projects, especially in training Large Language Models and optimising workflows.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, the technologies they use, or how they measure success in their AI initiatives. This demonstrates your enthusiasm and engagement.