Machine Learning Engineer

Entravision

2d•$140,000 - $170,000•Onsite

About The Position

As a Machine Learning Senior Engineer, you will be part of all the major architectural decisions and developments we make on our algorithms, especially in our deep neural network algorithms. You will be responsible for developing new features, measuring the performance, and improving our pipelines. Our ML Engineer role combines the classic "ML Scientist" and "Data Engineer" roles at other companies. You will also play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics and machine learning solutions to challenge business issues, as well as working closely with our Tech and Ops team. You will work on unique modeling challenges not covered in the scientific literature, like extreme positive sample sparsity and labelling delay. Analyze data from different sources and provide actionable insights to business and engineering stakeholders.

Requirements

2+ years of relevant experience in Data science positions
Very strong coding ability: Python, Scala, Java
Proficiency in building high-performance algorithms in production
Proficiency in solving problems
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical significance tests)
Experience in data mining and predictive modelling: deep neural networks, logistic regression, clustering and time series analysis models
Knowledge of Bitbucket/Git version tools
Experience working with SQL and data warehousing
Excellent communication skills both verbal and written
Fluency in English

Responsibilities

Developing new features
Measuring the performance of algorithms
Improving pipelines
Researching, designing, implementing, and deploying full-stack scalable data analytics and machine learning solutions
Working closely with Tech and Ops teams
Working on unique modeling challenges such as extreme positive sample sparsity and labelling delay
Analyzing data from different sources
Providing actionable insights to business and engineering stakeholders
Mentoring other team members