Sr. Machine Learning Engineer, LinkedIn Premium

Company Description

LinkedIn is the world’s 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. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

Job Description

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.Responsibilities:

As a senior software engineer in AI you will be responsible for building and deploying relevance models that power our various recommender systems and personalized intent engines, keeping scalability and performance in mind through your design and engineering choices. You will explore novel approaches for machine learning ranking and modeling downstream impact, as well as new ways of creating new product features by leveraging the cutting edge machine learning techniques in Generative AI, NLP. You will work with big data and analyze tracking data to understand member preferences and identify opportunities for taking the products you work on to the next level. You will work directly with partner data science, product, and infrastructure teams to take your ideas from conception to production.

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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

Preferred Qualifications

• 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.

Suggested Skills

• Experience in Machine Learning and Deep Learning
• Experience in Big Data
• Strong technical background & Strategic thinking
• Experience in GAI and/or LLMs

You will Benefit from our Culture

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all lev