(Senior) Software Engineer in a fast-growing AI Startup
Lightly
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Remote
Tech stack
Artificial Intelligence
Automation of Tests
Python
Node.js
Svelte
Software Engineering
Software Systems
TypeScript
React
Information Technology
Programming Languages
Job description
- Come up with and implement software to solve customer needs.
- Design and implement new features across the stack.
- Research and implement new technologies and solutions.
- Build automated testing and benchmarking infrastructure.
- Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter.
- Proactively identify and prioritize improvements to the team's processes, codebases, and best practices.
Requirements
As a (Senior) Software Engineer, you're building and improving our core product. You are an all-rounder with a focus on putting the subparts of our product stack together., Ideally you have:
- MSc or PhD in Computer Science, Engineering or a related field
- Experience in building complex software products, e.g. spanning multiple programming languages.
- Excellent coding skills in one of Python, TypeScript (NodeJS and React/Svelte)
- Knowledge of software engineering and software design best practices.
- Experience with building and shipping software solutions.
- A strong passion for new technologies and interest in keeping up with latest technologies.
- A creative, collaborative, and product-focused mindset.
Benefits & conditions
Thus, we are looking for an experienced engineer with lots of passion for the subject. We offer attractive cash- & equity package for you to become part-owner of Lightly. Remote work is also possible., We offer attractive cash- & equity package for you to become part-owner of Lightly. Remote work is also possible.
About the company
At the ETH spin-off Lightly, we build software solutions to help companies improve their deep learning models. The available data for deep learning grows faster than human tagging and available compute power. Our customers already face this problem and have too much data to process. As a solution, we built software to identify and work with the most relevant samples only. Learn more about us on our website.
We are a team of talented developers and researchers in Zurich and are backed by YCombinator. Every member of the team is going to have a massive impact.