LinkedIn

Internet

SeniorAIEngineer

$139–229k Sunnyvale, California, United States; San Francisco, California, United States; Bellevue, Washington, United States; New York, New York, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Senior AI Engineer at LinkedIn. Skills: Machine Learning, data mining, information retrieval, natural language processing, BIG data, statistical modeling, recommendation solutions, production quality code, scalable AI innovations, Deep Learning, GAI, LLMs. 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”

What You'll Achieve.

deliver impact on LinkedIn newsfeed

Industry & Context.

Internet
Problems you'll solve

algorithm related solutions

What They're Looking For.

Must Have

BAS 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 Have

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.

What You'll Do.

crunching millions of samples for statistical modeling

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

How You'll Work.

Team & Collaboration

Collaborate with 10+ machine learning engineers to deliver impact on LinkedIn newsfeed; Build scalable AI innovations with foundation and infra partners

Full Job Description

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. This role will be based in Sunnyvale, San Francisco, Bellevue or New York City. 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. LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation. 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 ## Qualifications Basic Qualifications * 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 Pre

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