Applied Scientist
Core
Design, develop, and evaluate innovative ML models and GenAI projects to solve diverse challenges and opportunities across industries, deploying models into production.
Role type
Applied Scientist (ML/GenAI)
Builds
End-to-end machine learning and GenAI solutions for business applications
Domain
Cloud computing, Machine Learning, Generative AI
Deliverable
production ML models
Required skills
Machine Learning, GenAI, Python, Java, C++, Algorithms, Data Structures, Numerical Optimization, Distributed Computing, High-Performance Computing, Model Deployment, Data Mining
Preferred skills
Unix/Linux, Large-scale ML infrastructure, Online recommendation systems, Ads ranking, Personalization, Search, Big Data
Technologies
Python, Java, C++, Unix/Linux
Responsibilities
Design and evaluate innovative ML models; Drive end-to-end ML and GenAI projects; Build and deploy models into production; Establish scalable automated processes for model development and serving; Research new science approaches; Communicate scientific methodology to diverse audiences
Seniority
Mid-Senior, hands-on IC