LinkedIn is looking for a Staff AI Engineer to develop and train machine learning models and algorithms that create personalized recommendations for our members. You will be instrumental in building scalable AI innovations that directly impact the member experience.
What You'll Do
- Work with big data, crunching millions of samples for statistical modeling, data mining, and recommendation solutions
- Write production quality code and influence the next generation of LinkedIn's system
- Collaborate with 10+ machine learning engineers to deliver impact on LinkedIn newsfeed
- Build scalable AI innovations with foundation and infrastructure partners
What We're Looking For
- Bachelor's degree in Computer Science or related technical field or equivalent practical experience
- 4+ years of industry experience in software design, development, and algorithm related solutions
- 4+ years experience programming in languages such as Java, Python, etc.
- 4+ years experience with machine learning, data mining, and information retrieval or natural language processing
Nice to Have
- 6+ years of relevant machine learning experience
- MS or PhD in Computer Science or related technical discipline
- Experience with machine learning, optimization algorithms, and deep-learning techniques
- Experience developing large scale systems
- Experience with Spark, Tensorflow, and Java
- Previous leadership or mentorship experience
- Ability to diagnose technical problems, debug code, and automate routine tasks
- Analytical approach coupled with solid communication skills and a sense of ownership
- Track record of producing papers in conferences such as KDD, WWW, WSDM, and Patenting Innovations
Technical Stack
- Java
- Python
- Spark
- Tensorflow
Team & Environment
You will collaborate with a team of 10+ machine learning engineers to deliver impact.
Benefits & Compensation
- Generous health and wellness programs
- Time away for employees of all levels
- Compensation range: $170,000-$277,000
Work Mode
This is a hybrid position open to candidates in Sunnyvale, San Francisco, Bellevue, and New York City.
LinkedIn is committed to a culture built on trust, care, inclusion, and fun where everyone can succeed, and we invest in the growth of our employees.
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.
