Senior Machine Learning Scientist

Key Skills

Apache Airflow, Apache Hadoop, Apache Hive, Applied Machine Learning, AWS, Cloud computing, ETL frameworks, Java Programming, Kubernetes-K8s, Machine learning techniques, Python Programming, Scala Programming, SPARK Programming

Job Description

GoDaddy is empowering everyday entrepreneurs around the world by providing all of the help and tools to succeed online. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights and the people to transform their ideas and personal initiative into success. To learn more about the company, visit www.GoDaddy.com.

Location: Your Manager is in Kirkland, WA, however, you will be remote from any state USA

Our team is a part of the Worldwide Engineering organization within GoDaddy, and we are looking to have all level of machine learning

scientist/Applied Researcher join this core ML/AR team. Our goal is to build and grow a community of ML scientists and engineers to learn, share and grow. We are committed to understanding all major business units very closely and we thrive to empower business results by leveraging state-of-the-art ML algorithms.

This core Machine Learning team utilizes large-scale data to power various business areas, and our goal is to create cohesive navigation experience across channels and web pages, to help simplify and enhance the shopping experience for everyday entrepreneurs across the world to quickly find what they need on our website. We will build bidding algorithms for Search Engine Marketing channel where GoDaddy spends multi-million dollars every year. We will be delving into SEM keywords domain where we can leverage Natural Language Generation to automate ad copy generation and content optimization for landing pages. We will look deep into freemium subscription and

renewal spaces to leverage dynamic pricing optimization pipelines to generate more growth across multiple products and multiple business units.

What you'll get to do...

Your contributions will affect millions of our customers and will have a direct impact on our business results. Our team's challenges include deriving value from sparse data, understanding large scale shopping data to extract and retrieve information and building best practice in this field to create the best user experience and highest user engagement. GoDaddy has deep and rich data sets, many still untapped, and your real passion for the cutting-edge machine learning algorithms has the power to unlock tangible business growth.

Your experience should include...

• You can articulate and understand a business problem, identify challenges, formulate the ML/NLP problem and provide/prototype solutions
• You will provide technical leadership, identify and understand key business challenges and opportunities, and develop end-to-end software solutions using ML/NLP.
• You will collaborate extensively with internal partners, program management, and engineering team to ensure that solution meet business needs, permit valid inferences and have functional feasibility
• You will collect and process large volumes of data; build new and improved techniques and/or solutions for data collection, management, and usage
• You will communicate results in a comprehensible manner to all levels of the company (field teams up to Senior Management)
• You will brainstorm with other team members

You might also have...

• PhD or MS in computer science or equivalent quantitative fields. 1+ year experience is preferred.
• A strong background in both machine learning/NLP (PhD preferred) and software development. Hands-on Deep Neural Network technologies are preferred.
• Strong algorithm design and programming skills in at least one low level language like C++/Java, and scripting languages like Python/R/Scala
• Experience with distributed computing (Hadoop/Spark)
• Passion for solving interesting and meaningful real-world problems using principled techniques and practices
• 2+ years’ experience of working with live data (data cleaning, data visualization and modeling)
• Embrace for collaboration and teamwork
• Experience with documenting, synthesizing, and communicating results.