Sr. Machine Learning Engineer, LinkedIn Premium

LinkedIn • Sunnyvale, CA

72d • $139,000 - $229,000

About The Position

The Premium AI teams work on many highly visible products at LinkedIn, which impact millions of LinkedIn members with the specific focus on Premium users. On the Premium AI team, you will be working on exciting products, such as Top applicant Job, Profile customization, Unified User Acquisition Management, Dynamic pricing, which use a diverse set of technologies, such as Deep Learning, NLP, Generative AI, AI agent and Multi-task learning. The Premium AI team partners with many critical AI teams at LinkedIn to build a better experience and accelerate. On the Premium AI team, you will have a chance to work with (and learn from) other Data teams, such as Generative AI, Notifications, Job Recommendations, Small business.

Requirements

• BA/BS Degree in Computer Science, Machine Learning or related technical discipline, or related practical experience.
• 2+ years experience in software design, development, and algorithm related solutions.
• 2+ years experience in programming languages such as Java, Python, etc.
• 2+ years experience with machine learning, data mining, and information retrieval or natural language processing

Nice To Haves

• 4+ years of relevant machine learning experience
• MS or PhD in Computer Science or related technical discipline
• Working knowledge in one or more of the following: machine learning, data mining, information retrieval, security data science, advanced statistics or natural language processing.
• Experience with iterative, test-driven development.
• Experience with configuration management (SVN, GIT, ant, maven, etc.).
• Experience with developing and designing consumer-facing products.
• Experience with Hadoop, Pig, or other MapReduce paradigms.
• Knowledge of internals Lucene/SOLR or other information retrieval systems.
• Published work in academic conferences or industry circles.

Responsibilities

• Work with BIG data, crunching millions of samples for statistical modeling, data mining, 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 infra partners

Benefits

• Generous health and wellness programs
• Time away for employees of all levels
• Fair and equitable compensation practices
• Annual performance bonus
• Stock options
• Benefits and/or other applicable incentive compensation plans

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Administrative and Support Services
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees