Senior Python Software Engineer, ML Developer Tools - EMEA Remote
Role details
Job location
Tech stack
Job description
- Designing, developing, and maintaining core features for Gradio and Trackio, ensuring scalability, reliability, and ease of use for ML developers.
- Architecting complex Python projects and frameworks that serve as foundational tools for the ML community.
- Collaborating with open-source contributors and engaging with the broader community through code reviews, discussions, and support.
- Integrating modern frontend technologies to create seamless and intuitive user experiences for Python-based web applications.
- Adapting to evolving engineering challenges and contributing to the direction of our developer tools as the landscape changes.
Requirements
Do you have experience in TypeScript?, Do you have a Bachelor's degree?, If you love open-source, are passionate about making machine learning more accessible, have experience building Python frameworks, and want to contribute to one of the fastest-growing machine learning libraries, then we can't wait to see your application! What you'll need
- Bachelor's degree or equivalent in Computer Science or a related field
- 5+ years of professional Python development experience
- Experience architecting complex Python projects or frameworks
- Professional experience with JavaScript or TypeScript
- Professional experience with a modern frontend framework such as React or Svelte
- Experience contributing to or maintaining open-source software projects
If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact.
Benefits & conditions
We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off.
We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.
We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.