Backend engineers in our machine learning team develop self-running AI software to automate predictive models for recommended searches, apps, and data pipelines. They are responsible for creating data science tools, following security policies, developing code infrastructure and working on complex solutions for data science models to work in production.

We are looking for a highly capable backend engineer for our machine learning team to optimize our machine learning systems, create tools available for the data scientist to use, running automatic evaluations, improve our code infrastructure

Engineer responsibilities:

• Design, create solutions for machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Running tests, performing statistical analysis, and interpreting test results.
• Document and maintain machine learning processes.
  
  

Job Qualifications:

• Bachelor's degree in computer science, data science, mathematics, or a related field.
• At least five years experience as a backend engineer.
• Advanced proficiency with Python.
• Great communication and collaboration skills.
• Excellent time management and organizational abilities.
• Innovative mindset, research problems that aren’t always well defined.
  
  

Advantages:

• Knowledge in machine learning.
• Expertise in at least one popular Python framework (Flask or FastApi)
• Experience using GCP and/or AWS
• Experience using GCP dataproc, spark, GAE, GKE
• Experience using Ray.
• Weights and Biases or similar platforms.