Position: Senior Machine Learning/AI Engineer
Company: Intellias
Category: Data Science
Experience required: 5y
English level: upper

Responsibilities
Deliver state-of-the-art, causal algorithms to production for optimizing consumer product metrics
Build and maintain the infrastructure for data and model management
Work closely with the Turing design and engineering teams for machine learning-adjacent components, such as visualization, ad-hoc data analysis, and data processing
Define and lead the development of longer-term Turing Platform capabilities.

Requirements:
Have 3+ years of professional experience in machine learning or quantitative analysis or have a Ph.D. in Computer Science, Statistics, Mathematics, or Physics
Have excellent programming and algorithmic skills
Have an in-depth understanding of supervised and unsupervised machine learning algorithms. Knowledge of probabilistic graphic modeling (PGM), Bayesian networks, engineering causal models is a big plus.
Are proficient with Python and experience with data processing tools (e.g., SciPy, NumPy, Pandas, PyTorch, and Apache Spark) and PGM tools (pgmpy or similar)
Have proven track record of deploying learning algorithms in a production system, developing API for ML models
Have demonstrated end-to-end ownership of projects
Have stellar listening and explanation skills
Have experience with R data processing tools (ddplyr) and PGM libraries (gRain) is an advantage

Why this position:
At Turing, we’re driven to build software that helps Consumer Packaged Goods (CPG) companies make products that are safer, smarter, and leaner. Our platform uses data, AI, and technology that enable CPG companies to develop the best-quality innovative products 10x faster. Our customers are the world’s leading brands.‍

Founders have decades of domain expertise and developed best-in-class machine learning algorithms. Turing is backed by Y Combinator and notable Silicon Valley investors. We are well-funded and growing quickly.