ML/Backend Engineer

Engineering · Remote or Berlin, Germany
Department Engineering
Employment Type Full-Time
Minimum Experience Mid-level


About Levity 🧞‍♂️


Levity is a well-funded, early-stage software startup on a mission: We give users the simplest AI development experience in the world and let them automate mindless, repetitive work that can currently only be performed by humans.


We believe that AI offers tremendous benefits for all kinds of companies and that its use will become inevitable to succeed in global, competitive markets. With our platform, we allow innovators to build custom AI solutions, based on their company-specific data and use cases, without the need to write a single line of code. Our ambition is to build a best-in-class product to scale the Product-Led Growth SaaS company that Levity is.



The role 🎯


We are looking for a full-time ML/Backend engineer, who can work together closely with the founders, product, and engineering to craft a beautiful product at the bleeding edge of machine learning and workflow automation. You will be one of a few, who will work on integrating the latest models with the UI and make updates to the backend & infrastructure. We're excited to work with someone who is highly motivated, comfortable in a fast-paced start-up environment, and is happy to work with a remote team.



Your challenge 🥇


We are looking for someone who makes things happen. Building on initial traction with customers, we are entering a rapid scaling phase. Now is the time to double down on our product development efforts to serve a broad range of global customers.


  • Work closely with other engineers, teaming up in small cross-functional teams to bring features from idea to prototype to final implementation.
  • You will work on high-impact features of our ML Training and deployment pipeline and hence directly impact the offerings at Levity
  • Review the work of your teammates and support them
  • Work on any initiative you feel passionate about - especially if it moves the needle for our product and/or development efforts



Sounds like you? 🙌


  • You have 3+ years of professional experience as a backend engineer preferably deploying ML infrastructure.
  • You have experience with deploying python API and apps.
  • You have deployed web apps in python that communicate with a Postgres database with caching.
  • You have productionized ML models and have worked with end-to-end ML pipelines
  • You have worked with large-scale distributed systems that are deployed in the cloud.
  • You enjoy working on complex problems and breaking them down into smaller pieces
  • You have excellent communication skills and the willingness to share and teach
  • You have the ability to deal with the fast pace and ambiguity of a startup. Things change and sometimes you need to develop expertise as you go.
  • Previous experience with AWS, Kubernetes, Docker & Django
  • You have prior working with ML frameworks like PyTorch, TensorFlow, FastAI & sci-kit


Perks 🎮


  • Competitive salary + equity package
  • High-end equipment of your choice
  • Beautiful and central Berlin office
  • Paid off-sites/workstations twice a year
  • Ownership from day 1
  • Dynamic team and flat hierarchies



Why Levity? 🚀


We are a highly ambitious team, trying to put a dent in the universe.

 

Since we are still a small team, the fate of the company rests on the shoulders of everyone – from Intern to CEO. People are able to work on projects that excite them the most and are able to wear lots of hats.

 

Levity was founded in Berlin, but as a remote-first company, our team works together from all over the world. With that mindset, we're building an inclusive workplace that invites diverse perspectives, and values talent from diverse personal and professional backgrounds.

 

Sounds like a good fit? Join us on our mission to democratize AI-powered workflow automation - we look forward to hearing from you!

Thank You

Your application was submitted successfully.

  • Location
    Remote or Berlin, Germany
  • Department
    Engineering
  • Employment Type
    Full-Time
  • Minimum Experience
    Mid-level