Senior Software Engineer - Machine Learning, Search Ranking and Recommendation
Technology – Enterprise Search /
Who We Are:
For over 25 years, Getty Images has embraced disruption and change; riding the digital wave to evolve from a fragmented, analog stock photo business into a multi-billion dollar, global e-commerce industry leader and trusted brand. The breadth and quality of our content has always allowed our customers and partners to tell their stories with greater creativity and accuracy, eliciting more emotion and enabling more action.
Help us move the world with images!
Getty Images is the most trusted and esteemed source of visual content in the world 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 360,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport and entertainment events, impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. With over 435 million assets, of which over 310 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.
Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allows our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation.
We are looking for a Senior Technical Lead, Engineer to create and optimize data pipelines for the Search team, focused on meaningfully impacting Getty’s search experience, be it for personalization, diversifying search results, or enabling customer exploration and discovery.
Who you are:
A creative and curious engineer specialized in building and maintaining data pipelines. You’ll have the opportunity to lay the foundation for data pipelines specific to machine learning.
What you’ll be doing:
- Define, architect, develop, and deploy infrastructure for large scale ETL pipelines with data processing frameworks that lay the foundation for robust, production level data science models in our products
- Collaborate with other technology teams including data platform, search engineers, and machine learning engineers to handle a wide variety of sources of structured/unstructured data, and integrate solutions into our engineering stack
- Interface with data science, machine learning engineers, software engineers, and product managers to understand data needs
- 201 level of understanding of Machine Learning, or Computer Vision.
- Keep up to date on the emerging best practices in data engineering, continuously evaluating and providing guidance on the use of new technologies that lay the foundation for data engineering best practices
We’d love to hear from you if:
- You have experience building streaming and batch data pipelines and are comfortable working within a large-scale distributed environment with tools such as Solr, Elastic Search, Spark, python, Quoble, Airflow, Hadoop, Hive
- Hands-on experience in custom ETL design, implementation and maintenance
- Previous experience working with data scientists, machine learning engineers, and data analysts
- Hands-on experience writing complex, highly-optimized queries across large datasets
- You are comfortable in dynamic, ambiguous environments
- A strong understanding of current data engineering tools and industry standards
- 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 delivery to stakeholders, and can pro-actively interact with other engineers at Getty Images to access necessary resources or data.
Education and Certifications:
- Bachelor's degree or higher in a quantitative/technical field (ex: Computer Science, Statistics, Engineering, Natural Sciences, Information Management, Mathematics, etc.).
- If you are self-taught and believe you are a good fit for this role, or have significant work experience in data engineering or database engineering, we would love to hear from you as well.
Mental and Physical Demands:
- Frequent communication with others to exchange information.
- Frequent sedentary work that primarily involves sitting/standing; Time of each will vary.
- Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc.
- Constant assessment of accuracy and thoroughness of the work assignment.
As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally.
We are trustworthy, transparent, and honest
We love character, authenticity, and integrity.
We always raise the bar
Excellence is our norm; we get better through endeavor, curiosity, and speed.
We collectively bring solutions
We love debate, but collaborating to solve problems for ourselves and our customers is everyone’s responsibility.
We care, are kind, courteous, and respectful
We will not tolerate rudeness.
We reject biased behaviour and discrimination
We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible.
We are inclusive of different voices, perspectives, and experience
Diversity and inclusion are never done, but we are passionate in their pursuit.
We are one Getty Images with no silos
We share goals and accountability; we and actively seek information and expertise; we make time for our peers.
We deliver on our commitments, and commercial goals
With one voice and shared accountability.
We put the customer at the heart of everything we do
We listen to, anticipate, and exceed customer needs, adapting as they evolve.
We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people and people with disabilities are encouraged to apply.
Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or to submit an online application, please email RecruitingAccommodations@gettyimages.com.
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Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs.