Help us move the world with images!

 

Getty is embarking on its next wave of innovation in visual storytelling and how to put the perfect image or video in our customer’s hands, be it for a society-changing headline or a brand’s next big campaign—truly moving the world with images. 

Getty Images is the most trusted and esteemed source of visual content in the world, with over 200 million assets available through its industry-leading sites www.gettyimages.com and www.istock.com. The Getty Images website serves creative, business and media customers in almost 200 countries and is the first place people turn to discover, purchase and share powerful content from the world's best photographers and videographers.

Getty Images works with over 200,000 contributors and hundreds of image partners to provide comprehensive coverage of more than 130,000 news, sport and entertainment events, impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. 

Getty Images is the starting point for our customers imagery search. Customers are confident that they are going directly to the best source of content, and that Getty's search engine will surface only the most relevant content to them and have the tools they need to refine and explore creatively. 

Our customers will be able to communicate effortlessly with Getty Images, in their quest to find the right imagery. Using text, voice, or visual channels, they will have the ability to describe their content needs creatively and thoroughly. Getty Images' search will eliminate the barrier that exists between a creative art director and a technical researcher. 

We are looking for an experienced Data Scientist with expertise in ranking algorithms (search, recommendations, and/or newsfeeds) to join our AI/ML Team to research, experiment, and introduce new machine learned ranking models to Getty’s search experience. You will have a direct impact on the Search and Browse paths for millions of customers and drive key conversion metrics.

What you’ll be doing:

• Research and build machine learning algorithms for search ranking leveraging our images, metadata, and/or customer interactions to significantly improve our customer’s image/video finding and discovery experiences.
• Recommend changes to our search ranking strategy presented in a clear manner to team members and leadership
• Develop and implement online and offline testing and validation methodologies
• Partner closely with other data scientists, data engineers, machine learning engineers, and search engineers to implement and deploy new ranking algorithms in production
• Collaborate closely with product, search engineering, and data science leaders
• Share your expertise by mentoring others on the team

We’d love to hear from you if:

• Proven experience building and validating ranking, recommendation, and/or newsfeed algorithms for customer-facing products.
• A strong understanding of the real-world advantages and drawbacks of various ranking algorithms and measures of success.
• Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries (ex: scikit-learn, numpy, pandas, scipy, tensorflow, SQL, hive, spark, etc.). Nice-to-have: experience with search technologies such as SOLR, Learn-to-rank, and nearest neighbor maps of deep learned embeddings (ex: FAISS).
• You write clean, understandable code that follows best practices, is well-documented, and build easily reproducible models
• You are excited to dig into the context in which data was generated to consider biases that may exist in the data, and make appropriate considerations in developing solutions
• Excellent communication skills. You are a good listener open to many diverse voices and perspectives. You are transparent, trustworthy, and honest.
• Ability to independently execute on a project, from ideation to testing to delivery, and can pro-actively interact with other engineers to access necessary resources or data.

Education Requirements:

• A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics/Sconometrics, Sociology, Natural Sciences or any other equivalent quantitative field is preferred.
• If you are self-taught and believe you are a good fit for this role, or have significant work experience, we would love to hear from you as well.

Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique ​​role of still and moving imagery in communication and business, and enabling creative ideas to come to life.  For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends. Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.