LinkedIn Looking For Staff Applied Research Engineer -NLP at Bengaluru, India Full Time

Description

LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We are much more than a digital resume – we transform lives through innovative products and technology.

Creating economic opportunity for every member of the global workforce is a responsibility we all share. To truly transform the global economy, we must evolve the way we hire and enable our talent to serve people of all backgrounds and experiences. LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer.

Every day, millions of posts, videos, and articles course through the LinkedIn feed, generating tens of thousands of comments every hour — and tens of millions more shares and likes.

We are looking for a research engineer/scientist to develop state of the art natural language processing and graph machine learning algorithms to understand member post textual content, and member interactions, over LinkedIn’s connection graph. You will be instrumental in improving the efficacy of communication and content exchange between millions of LinkedIn members by developing cutting edge content understanding and classification algorithms. The role is an exciting combination of machine learning engineering and research, as we own end to end stack from idea creation, POC, design to product deployment.

As part of a fast-growing team of top-notch engineers and scientists, you will experience all the excitement and dynamism of a startup along with the scale and technology of a world-class enterprise. As a Staff Software Engineer in our AI organization, you will

• Develop next-gen natural language processing algorithms such as text classification, topic modeling, sentiment analysis, etc. to understand textual content on LinkedIn.
• Develop cross-lingual NLP models that can transfer knowledge across different input languages.
• Build multi-task, multi-modal deep learning models that can handle heterogeneous input data
• Mentor junior research engineers in utilizing advanced machine learning techniques for critical business problems
• Represent LinkedIn in academic and industry forums by showcasing our innovation, data products, and scientific expertise in bringing game-changing data products to market

Basic Qualifications:
• BS and 12+ years of relevant work experience, MS and 10+ years of relevant work experience, or PhD and 8+ years of relevant work experience
• 8+ years experience in building models with Python and state-of-the-art machine learning libraries (Tensorflow, Keras and Pytorch)
• 8+ years of experience in software design, development, and algorithm related solutions.
• 8+ years of experience in Java programming.
• 6+ years experience building natural language processing (NLP) based systems, specifically in areas such as text classification, sentiment analysis, knowledge-based generation, etc.
• 6+ years experience in transforming a model from research to production and ability to fine-tune model performance in a production setting using adaptive/incremental machine learning techniques

Preferred Qualifications:
• Experience in designing and building infrastructure and web services at large scale.
• Expertise in one or more of the following: machine learning, data mining, security data science, advanced statistics, internationalization, information retrieval, 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 data based 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.

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 http://careers. . /linkedin/India-LinkedIn-Equal-Opportunity-for-Persons-With-Disabilities-Policy-2018.

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