Jobs at Getty Images

Positions 63,790

Getty Images, founded in 1995, has evolved from a digital photo library into a global visual content powerhouse. In the tech arena, the company pioneers AI‑driven image search, machine‑learning tagging, and cloud‑based media distribution, positioning it at the intersection of creativity and engineering.

Typical openings span Software Engineering, Data Science, Cloud Infrastructure, Product Management, UX/UI Design, and AI Research. Applicants can expect rigorous technical interviews, portfolio reviews for design roles, and a culture that rewards cross‑functional collaboration. Remote work is available for many roles, with hybrid options in key U.S. offices.

Job Transparency’s Getty Images listings provide real salary ranges, employee satisfaction scores, and recent interview feedback. By comparing offers against the transparent data, candidates can negotiate confidently and gauge company fit before applying.

No open positions at Getty Images right now.

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Frequently Asked Questions

What’s it like to work at Getty Images?
Employees report a fast‑paced environment that balances creative freedom with tight product deadlines. The company offers professional development programs, a flexible work‑life policy, and access to a global network of creatives. Team members often highlight the collaborative culture between engineering, data science, and creative departments.
What types of positions are available at Getty Images?
Getty hires across engineering (backend, frontend, infrastructure), data science, AI/ML, product, design, cloud operations, and business roles such as marketing analytics and sales technology. Positions range from entry‑level to senior leadership, with many roles open for remote or hybrid work.
How can I stand out as an applicant?
Tailor your resume to showcase project outcomes that align with Getty’s AI and media focus. Include metrics such as improved search ranking by X% or reduced latency by Y%. For design roles, provide a portfolio that demonstrates experience with large media datasets. Engage in open‑source projects related to image processing or cloud services and mention certifications like AWS Certified Solutions Architect or TensorFlow Developer. Finally, use the interview feedback on Job Transparency to prepare for specific technical or behavioral questions highlighted by recent candidates.

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