AI/ML Job: Software Engineer, Machine Learning


Hotwire

Software Engineer, Machine Learning at Hotwire

Seattle, Washington, United States 🇺🇸   (Posted Jun 6 2018)
About the company
Launched in 2000 in San Francisco, Hotwire is one of the earliest innovators in the online travel arena. Just a few years later in 2003, we joined the Expedia Group family of brands that includes Hotels.com, HomeAway, Travelocity and more.

Our roots are in California, but we also have offices in Seattle along with an important and fast-growing product and technology presence in Gurgaon, India.

Hotwire has the energy and pace of a startup, plus the stability and backing of the incredible Expedia family of companies. Hotwire’s culture centers around delivering value to customers and supply partners by being passionate about building great products with the latest and greatest technologies available. We pride ourselves on our organizational transparency, a bias for action and a customer-centric approach to everything we do.

Job position
Permanent

Job description
Our Data Science team is a strategic group responsible for identifying and driving significant revenue growth across all Hotwire products. This team and position offer an unparalleled opportunity to get exposure to multiple areas of the business and have a significant impact.

We work closely with other functions - marketing, product development, finance, business intelligence, and customer operations - with the expressed goal of using advanced analytics to inform decision-making and drive performance. The team innovates on sorting, pricing, and marketing analytics for different Hotwire products such as Hotel and Car. As a Machine Learning Engineer, you are chartered with building and improving the technology that powers these critical models.

Do you want to make an impact? Would you like to see your work affect people's travel choices in real time? Are you passionate and dedicated to the mission? If you thrive in environments that are dynamic, action-oriented, data-driven and relish in conquering diverse challenges every single day, joining Hotwire is likely to be the most rewarding opportunity of your career. So-- what are you waiting for? Come join a household name brand that lives at the exciting intersection of technology and travel.

Responsibilities:

You improve and robustify our existing data and modeling workflows (data ingests / ETL, model training, model testing, model deployment).

You build a “mission control” to enable automatic monitoring of key models, inputs, and outputs.

You own the design, development, and maintenance of data pipelines under both product and non-product environments.

You provide data solutions for data science projects that will support current and future big data projects and enable us to make data-driven decisions.

You collate and synthesize data science product requirements and aid in road-map creation.

You deliver thought leadership around avoiding technical debt and have thorough documentation habit.

You lead cross-functional ad-hoc research requests.

Skills & requirements
Bachelor’s degree required, Master’s degree preferred in a quantitative discipline (Computer Science, Machine Learning, Operations Research, Applied Mathematics, Industrial Engineering, Statistics).

You have 2+ years of hands-on coding experience and proven programming skills in Python and SQL.

Familiarity with data science tools & frameworks like jupyternotebook, numpy, pandas, etc.

Familiarity with terabyte-scale data-sets as well as Spark, Hive and Hadoop strongly desired.

Knowledge & experience in one or more of the following open source ML frameworks like Spark MLLib, Mahout, tensorflow, PIO, Amazon Machine Learning (AML).

Exposure to software development life-cycle and operating high traffic micro-services and platforms a plus.

Experience in designing, building, and deploying data science models in a production environment a plus.

Exposure to continuous integration and deployment tools (Jenkins, Airflow, etc.).

Desire and capacity to learn, develop, and lead.

Instructions how to apply
see the website
[ job website ]

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