Python Developer
We’re looking for someone who really knows python well and also understands how to work with (and even build) large, complex distributed systems. You will be working with us to help improve and extend the architecture of Salient, making sure its scalable, robust and performant. We expect you to be independent enough to take full charge of a problem or subsystem but also a team player who improves the work environment for everyone.
As a member of a small team you'll have the chance (and the challenge!) to play many roles so knowledge of system administration (particularly container orchestration tools like kubernetes) or machine learning are also a considerable plus. If you’re interested in the business side of things there’s also plenty of room for client interaction and business strategy.
You'll be a very early employee in a growing startup so you'll have the opportunity to shape and be part of our culture and future.
We’re happy to teach you stuff but we’re also eager to learn from you!
Responsibilities
- Review and contribute to the architecture of Salient
- Take charge of various subsystems for which you will be the technical lead
- Potentially participate in managing various Salient installations
- Help develop, test or tune new machine learning algorithms inside Salient
Required Skills
- Excellent knowledge of Python
- Modern workflow and DevOps including git and docker
- Ability to work in a Linux/Open Source ecosystem
- Capable of working independently & cooperatively
- Excellent communication skills
- English fluency required
Learning Opportunities
- (Distributed) systems architecture and design
- Machine learning
- DevOps
Nice to have skills
- Demonstrated experience building large distributed systems
- DevOps (Kubernetes) and/or Linux system administration experience
- NLP or ML knowledge or experience
- Business development experience
- French fluency
Perks
- Flexible work schedule
- Work from home and in office
- Competitive salary based on experience level
- Potentially equity
- Learning Opportunities
- Possible travel to Paris or DC
How to apply
Send an email to careers@lore.ai with
- A resume
- A cover letter explaining what specifically about Lore Ai appeals to you and why you think you'll be a good fit
- A short description of relevant experience
- Your compensation expectations
- The position you're applying for