AI Engineer

About the position

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. 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

• 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
• Exploring novel approaches for machine learning ranking and modeling downstream impact
• Creating new product features by leveraging cutting edge machine learning techniques in Generative AI, NLP
• Working with big data and analyzing tracking data to understand member preferences and identify opportunities for product improvement
• Collaborating with partner data science, product, and infrastructure teams to take ideas from conception to production

Requirements

• Bachelor's degree in Computer Science or related technical field or equivalent technical experience
• 1+ years experience with machine learning, data mining, and information retrieval or natural language processing
• 1+ year of industry experience in software design, development, and algorithm related solutions
• 1+ years experience in programming languages such as Java, Python, etc.

Nice-to-haves

• 1+ years of relevant work experience
• MS or PhD in Computer Science or related technical discipline
• Experience developing large scale systems
• Knowledge of recommendation systems
• Ability to diagnose technical problems, debug code, and automate routine tasks
• Analytical approach coupled with solid communication skills and a sense of ownership

Benefits

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