D3.js, Deep Learning, Design of Experiment, Distributed systems, Effective communication skills, Large data sets, Machine learning techniques, matplotlib, plotly, PostGIS, PyProj, Python Programming, seaborn, Shapely, Software Development, SQL, Statistical modeling
As a Machine Learning Engineer, you will be part of a diverse team of engineers developing next-generation, vertically integrated products and services at Viasat. You will develop new, novel algorithms and techniques for analyzing complex data sets collected during Viasat’s product and service lifecycles. You will be responsible for defining and developing models that produce new inferences and enable action by adjacent teams. You will work with software engineers to create new tools, libraries, and services that can expand Viasat’s ability to understand complex data sets. You will be part of a growing team developing cloud-based solutions for tackling problems found at the cutting edge of technological development.
On this team, you’ll build a breadth of knowledge including distributed systems, predictive analytics, and machine learning. You will design, develop, and deploy analytic pipelines to answer questions across multiple business areas and disciplines for Viasat’s broad but vertically integrated products. We encourage learning through immersion, collaboration and action. We value adaptability and curiosity. Our ideal candidate is someone focused on solving tough problems using data and loves doing so. You will have a role in the training and education of your peers by providing technical guidance and supporting team member growth.
As a Machine Learning Engineer, you will contribute with:
Additional Requirements and Information
Viasat Inc. is an American communications company based in Carlsbad, California, with additional operations across the United States and worldwide. Viasat is a provider of high-speed satellite broadband services and secure networking systems covering military and commercial markets.