AI Scientist 2
Core
Design, build, and deploy machine learning models in AI-native apps to improve relevance and personalization algorithms for customers.
Role type
AI Scientist (ML Engineer)
Builds
AI-native apps with personalization and relevance features
Domain
AI/ML, Data Science
Deliverable
production ML models
Required skills
supervised and unsupervised machine learning, deep learning, generative AI, clustering, classification, regression, neural networks, reinforcement learning, natural language processing, statistical analysis, A/B testing, distributed computing, distributed databases, Python, Git/Github
Preferred skills
subject matter expertise in data features, ability to understand new mathematical concepts and derive original solutions
Technologies
Hadoop, NoSQL
Responsibilities
Perform hands-on data analysis and modeling with huge data sets; Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products; Create and refine features from the underlying data; Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of optimizations, and communicate results to peers and leaders
Seniority
Mid-level, hands-on IC
