AI Engineer

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.

This role will be based in Sunnyvale or San Francisco. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.

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, as well as new ways of 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 taking the products you work on to the next level • Working directly with partner data science, product, and infrastructure teams to take your ideas from conception to production

Basic Qualifications: • Bachelor's degree in Computer Science or related technical field or equivalent technical experience • 1+ year of industry experience in software design, development, and algorithm related solutions • 1+ years experience programming languages such as Java, C/C++, Python, etc.

Preferred Qualifications: • 1+ years of relevant work experience • MS or PhD in Computer Science or related technical discipline • Experience with machine learning, data mining, and information retrieval or natural language processing is not required but is helpful • 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

Suggested Skills: • Experience in Machine Learning and Deep Learning • Experience in Big Data • Strong technical background & Strategic thinking

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 levels.