Here’s what your day-to-day will look like:

• Design and maintain our React monorepo to help take it to the next level
• Present performance-oriented React knowledge
• Participate in technical design sessions and discussions with other teams on how to achieve our product goals
• Help understand how to future-proof the codebase and minimize tech debt

What would make you a great fit?

• Experience building robust, production-grade React applications.
  We expect real-world enterprise experience
• Experience with social/feed-based systems 
• Team player mentality, as we are a fully-remote, async company
• Previous tech lead experience, experience with Google cloud solutions, monorepo's and optimizing React performance

Here’s what your day-to-day will look like:

For daily.dev content is life. And “Yggdrasil” (Our main project: content sourcing pipeline) - is our tree of life.

• Maintain and improve Yggdrasil
• Work on very complex content pipelines, distributed content processing
• Add new features to expand our content sourcing capabilities
• Identify performance issues and propose improvements
• Not just write code, but participate in technical design sessions and discussions with other teams on how to achieve our product goals
• We love people with great ideas! We will offer you the stage to bring your expertise and knowledge to level up our product, and to level up the whole team

What would make you a great fit?

• Experience in building robust, production-grade Go applications. We expect real-world enterprise (or a similar enterprise environment) experience
• Experience writing python applications (yes, we also use python)
• Experience with distributed systems
• Experience with event-driven systems
• Experience monitoring applications
• Performance optimization experience
• Understanding of social/feed system issues (nice to have)
• A team player mentality, as we are a fully remote, async company. We want someone who can work independently and bring the team to the next level

Here’s what your day-to-day will look like:

• Optimize our feed algorithm
• Develop custom data models and algorithms to apply to data sets
• Identify user behavioral patterns
• Work on content personalization
• Measure the results of experiments and find ways to improve them
• Work very closely with the product analysts and developers

What would make you a great fit?

• Good Python knowledge
• Proven experience as a Data Scientist
• Knowledge of data mining techniques and how and when to apply each of them
• Experience developing custom data models and algorithms and applying them to data sets
• Experience building different types of recommendation systems
• Experience with distributed data/computing tools
• Experience developing A/B testing frameworks and testing model quality
• Experience with Google Cloud Platform is a huge plus
• Can communicate in the right tone between product and engineering

We want to help you get ready for the interview, so here are the things we will focus on: 

• Demonstrate python knowledge (especially with Jupyter notebooks or alternatives)
• Different type of recommendation engines, when and why to use them
• How to measure their effectiveness
• How to improve the results
• How do you see real-life data pipeline