Machine Learning Engineer

At LinkedIn, our mission is to connect the world’s professionals to make them more productive and successful. LinkedIn’s content ecosystem stands at the center of this global professional community: a place for our members to discover and join the conversations that are happening among their connections, taking place within their groups, and ignited by the Influencers and companies they’re following. Our members post ideas, career news, questions, jobs, and suggestions in an array of formats, including video, photo, short text, and long-form articles. Every one of these starts a conversation.

The Artificial Intelligence/Machine Learning team is responsible for protecting LinkedIn members from unprofessional and unsafe content shared on LinkedIn. Using machine learning, computer vision, NLP, data mining, and processing of petabytes of data, we accelerate our mission of making our platform the most trusted professional content network in the world. We are looking for full-time researchers to join this team and solve some of these challenging problems e.g., detection of hate speech, misinformation, and offensive multimedia content.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

Responsibilities:
- Work with BIG data, crunching millions of samples for statistical modeling, data mining, recommendation, or search relevance solutions
- Write production quality code and influence the next generation of LinkedIn’s systems

Basic Qualifications:
- Completed a B.S/B.E/B.tech/M.E/M.Tech in computer science, statistics, mathematics, electrical engineering, machine learning, or related technical field
- Experience with one or more general purpose programming languages: Python, Java, C/C++.


Preferred Qualifications:
- Experience contributing to research communities or efforts, including publishing papers in major conferences or journals and open source project(s).
- Hands-on experience in one of the areas from Natural Language Processing, Computer Vision, Information Retrieval, Recommender Systems, Machine Learning, Deep Learning, Advanced Statistics and Optimization.

Suggested Skills:
- Ability to design and execute on research agendas.
- Experience in Deep Learning frameworks(Tensorflow etc.)
- Experience with Spark, Scala, or other MapReduce paradigms.

India Disability Policy
LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf

Global Data Privacy Notice for Job Candidates
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