Adobe (Hamburg HH, Deutschland)
Vor 22 Tagen veröffentlicht
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
Trust & Safety Engineering at Adobe develops and operates internal services to detect and mitigate undesirable activity and content on Adobe’s Cloud Platform. We are looking for experienced software developers to understand patterns of abuse, develop new strategies and algorithms, implement and deploy them. The team operates as a one-stop shop directly responsible for functionality definition, architecture, design, implementation, deployment, and support.
What you'll Do
Work with product, engineering and support teams to develop and integrate existing or new platform services, analyze gaps and identify new functionality for development.
Develop working relationships with peers in other organizations to keep on top of industry trends and work in academia.
Serve as a domain specialist and go-to resource on Trust & Safety.
What you need to succeed
BS, MS or PhD in Computer Science, Computer Engineering or Mathematics. Outstanding candidates with graduate degrees in other Engineering fields or Physical Sciences with experience in software development will be considered.
Two to five years’ experience designing, developing and implementing web services at service provider scale.
Familiarity and a high level of comfort working in agile development and deployment teams. Scrum experience is a plus.
Expert-level knowledge and implementation experience in two of the following areas. Platform services for detection of spam, nudity, violence, profanity, hatred, and so on. Machine Learning algorithms and their implementation – feature extraction, model building, training, and validation. Aggregation, scrubbing, filtering and analysis of large data sets. Data access and management with relational (MySQL, Postgres, or Oracle) and non-relational databases (MongoDB or Cassandra.) Image and video content processing (encoding/transcoding, compression, pattern extraction, pattern matching, character and object recognition.) Cloud-scale software and services on Cloud environments (AWS, Azure, GCP or OpenStack with Docker.) User interfaces and visualization on the web with Angular or React. Resource consumption and performance analysis on Linux.