At a Glance
- Tasks: Build and refine ML models to detect hidden bugs in complex codebases.
- Company: Join a mission-driven developer tools startup with a collaborative culture.
- Benefits: Competitive salary, growth opportunities, and the chance to work on impactful projects.
- Other info: Work directly with the CTO and enjoy immediate visibility for your contributions.
- Why this job: Make a real impact in AI-powered engineering and grow into leadership roles.
- Qualifications: Experience in running projects and deploying systems in the cloud.
The predicted salary is between 28800 - 48000 € per year.
Join to apply for the Machine Learning Engineer role at Dex. This role is with one of Dex’s trusted Partner companies. We work closely with their teams to truly understand their culture, goals, and what they’re looking for, so we can match you with the right opportunity for your goals.
What you’ll do:
- Build and refine ML models (Transformers, PyTorch, WandB) to detect hidden bugs in complex codebases
- Work directly with the CTO to design experiments and guide technical direction
- Develop new capabilities, such as making LLMs aware of library versions and building retrieval indices for large codebases
- Scale infrastructure (we use FastAPI, PostgreSQL, ElasticSearch, Cloud Run) for speed, resilience, and great developer experience
What you’ll bring:
- Experience running projects from 0-1
- Comfort deploying and operating systems in the cloud
- Demonstrated creativity and drive through side projects or open source contributions
What’s on offer:
This is an opportunity to join at the ground level of a mission driven developer tools startup. You will help define what world class looks like in AI powered engineering, with the freedom to take on high impact problems and the potential to grow into leadership as the company scales. With paying users already on board, the work you do will have immediate visibility and lasting impact.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology and Engineering
Industries: Software Development
Machine Learning Engineer employer: Dex
At Dex, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to take ownership of their projects and drive meaningful change. As a Machine Learning Engineer, you will have the unique opportunity to collaborate directly with the CTO and shape the future of AI-powered engineering in a mission-driven startup environment. With a focus on personal growth and leadership development, Dex offers a supportive atmosphere where your contributions will be recognised and valued, making it an excellent place for those looking to make a significant impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Dex or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your projects! Whether it's a side hustle or an open-source contribution, make sure to highlight your hands-on experience with ML models and cloud systems. We love seeing creativity and drive in action!
✨Tip Number 3
Prepare for technical chats! Brush up on your knowledge of Transformers, PyTorch, and the tools mentioned in the job description. Being able to discuss these topics confidently can really set you apart.
✨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 looking for passionate candidates who want to make an impact in AI-powered engineering.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with ML models, cloud systems, and any relevant projects that showcase your creativity and drive.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI-powered engineering and how your skills align with what we're looking for at Dex.
Showcase Your Projects:Don’t forget to include any side projects or open source contributions in your application. We love seeing your creativity in action and how you tackle challenges outside of work!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Dex
✨Know Your ML Models
Make sure you brush up on your knowledge of machine learning models, especially Transformers and PyTorch. Be ready to discuss how you've built and refined models in the past, and think of specific examples where you've detected bugs in complex codebases.
✨Showcase Your Projects
Prepare to talk about your side projects or any open-source contributions you've made. This is a great way to demonstrate your creativity and drive, which are key qualities for this role. Bring along any relevant code samples or links to your work.
✨Understand the Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like FastAPI, PostgreSQL, and ElasticSearch. Being able to discuss how you've used these tools in previous roles or projects will show that you're not just a fit for the role but also genuinely interested in the company's tech stack.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask during the interview. Inquire about the company's vision for AI-powered engineering or how they measure success in their projects. This shows that you're engaged and serious about contributing to their mission.
