LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We aspire to create a culture that’s built on trust, care, inclusion, and fun - where everyone can succeed.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.
In this role, you will join the Media Infrastructure org which is responsible for handling all media creation and consumption on LinkedIn. Media, and in particular Video, has become a key driver of business growth at LinkedIn. Media Infrastructure org provides a platform for LinkedIn product teams to incorporate Media in their features. optimizations in video performance have moved the needle for LinkedIn’s core business metrics.
As a Media specialist, you will be responsible for optimizing media (video, images and/or documents) transcoding processes and tuning encoding parameters to enhance our media delivery capabilities. You will work with a dynamic team of engineers and collaborate on various projects to deliver high-performance media solutions.
Define and hold yourself responsible for media quality of experience metrics like video visual quality (VMAF, SSIM etc)
- Integrate video codecs (such as H.265, VP9, AV1) and optimize them for performance under Linux environments.
- Work with a cluster of worker nodes and consider the system level optimizations to improve the overall performance.
- BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
- 4+ years of industry experience in software design, development, and algorithm related solutions.
- 4+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages.
- Basic integration knowledge under Linux environments.
- BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience
- Experience with additional video codecs and streaming protocols.
- Experience with Java to implement or modify business logic and media features.
- Proven experience in the development and/or integration of video codecs (H.26x, H.and proficiency in using FFMPEG for video processing.
Backend Systems Infrastructure
- Java/Golang/Rust/Python
LinkedIn is committed to fair and equitable compensation practices. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
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