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For Companies At a Glance
- Tasks: Design and build scalable systems, from ML pipelines to APIs.
- Company: Join a global tech company focused on online safety and digital experiences.
- Benefits: Enjoy remote work, competitive salary, and strong support for professional growth.
- Why this job: Make a real-world impact with smart teammates and huge autonomy.
- Qualifications: Deep backend experience and a passion for machine learning are essential.
- Other info: Opportunity to lead complex projects and shape the company's future.
The predicted salary is between 43200 - 72000 ÂŁ per year.
We're Hiring: Staff Engineer (ML-Native / Software Engineering) – Remote
Hi everyone! I’m currently hiring for a Staff Engineer to join a global tech company that’s shaping the future of online safety and digital experiences. This role is ideal for someone who lives at the intersection of machine learning and strong software engineering, and wants to build real-world systems that make a difference.
What You'll Be Doing:
- Designing & building scalable systems—from ML pipelines to microservices and APIs
- Owning full lifecycle delivery: from research notebooks or rough concepts to clean, robust, and reliable production code
- Collaborating across teams—engineering, product, data, and more
- Leading by example as a senior individual contributor, mentoring others and setting technical direction
- Working with cloud infrastructure (GCP preferred), security-first architecture, and modern dev practices
What They’re Looking For:
- A builder’s mindset: you thrive on solving problems end-to-end, not just prototyping
- Deep backend/software engineering experience (we use modern cloud platforms, containers, APIs, etc.)
- ML-native thinking: you're excited by ML, know when (and when not) to apply it, and can scale it pragmatically
- Strong systems design, architecture, and a clear, pragmatic communication style
- Experience leading complex technical projects or products, either in a company, startup, or open-source community
- Bonus points if you’ve worked on privacy tech, GraphQL, OAuth, embedded systems, or large-scale data pipelines.
Why You Might Love It:
- A bold mission with global impact
- Remote-first setup (EST to CET) + offices in Berlin & multiple other locations
- Smart, passionate teammates and huge autonomy
- Competitive salary, benefits, and strong support for professional growth
- The chance to “re-found” a company at a pivotal moment in its evolution
If this sounds like something you'd thrive in—or even if you're just curious—I'd love to chat and tell you more. Feel free to apply here or drop me a message directly.
Contact Detail:
Cavendish Professionals Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and software engineering. Being able to discuss recent advancements or tools during your conversations can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Showcase your experience with cloud infrastructure, particularly GCP, by preparing examples of projects where you've successfully implemented scalable systems. This will help you stand out as a candidate who can hit the ground running.
✨Tip Number 3
Network with current employees or alumni from the company to gain insights into their culture and expectations. This can provide you with valuable information that you can use to tailor your approach during interviews.
✨Tip Number 4
Prepare to discuss your leadership experiences, especially in mentoring or guiding teams through complex projects. Highlighting your ability to lead and communicate effectively will resonate well with the hiring team.
We think you need these skills to ace Staff Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and software engineering. Focus on projects where you've designed scalable systems, worked with cloud infrastructure, or led technical projects.
Craft a Compelling Cover Letter: In your cover letter, express your passion for building real-world systems and how your skills align with the company's mission. Mention specific technologies you’ve worked with, such as GCP, GraphQL, or OAuth.
Showcase Your Problem-Solving Skills: Provide examples of how you've tackled complex problems in your previous roles. Highlight your builder's mindset and your ability to deliver end-to-end solutions, not just prototypes.
Prepare for Technical Questions: Anticipate technical questions related to systems design, architecture, and machine learning applications. Be ready to discuss your thought process and decision-making in past projects.
How to prepare for a job interview at Cavendish Professionals
✨Showcase Your Problem-Solving Skills
As a Staff Engineer, you'll need to demonstrate your ability to tackle complex problems. Prepare examples of past projects where you successfully designed and built scalable systems, highlighting your end-to-end problem-solving approach.
✨Emphasise Your ML and Software Engineering Experience
Make sure to discuss your experience with machine learning and software engineering. Be ready to explain how you've applied ML in real-world scenarios and how it integrates with your software development practices.
✨Demonstrate Leadership and Collaboration
Since this role involves mentoring and collaborating across teams, share instances where you've led technical projects or mentored others. Highlight your communication style and how you foster teamwork in a remote environment.
✨Familiarise Yourself with Their Tech Stack
Research the company's tech stack, especially their use of cloud infrastructure like GCP, and modern dev practices. Being knowledgeable about their tools and technologies will show your genuine interest and readiness to contribute from day one.
