LinkedIn, the world's largest professional network, is seeking an AI Engineer to join their innovative team. This role offers an exciting opportunity to work on cutting-edge machine learning solutions that impact millions of users globally. As an AI Engineer, you'll be responsible for building and deploying relevance models that power LinkedIn's recommender systems and personalized intent engines.
The position requires a strong foundation in machine learning, data mining, and software development. You'll work with big data to analyze user preferences and implement novel approaches in machine learning ranking and modeling. The role involves close collaboration with data science, product, and infrastructure teams to take ideas from conception to production.
LinkedIn offers a flexible hybrid work environment, allowing you to work from home while maintaining important in-person connections with your team. The company provides comprehensive benefits including health coverage, equity compensation, and performance bonuses. With locations in major tech hubs like San Francisco and New York City, you'll be working in dynamic environments that foster innovation.
The ideal candidate should have at least one year of experience in machine learning and software development, with proficiency in languages like Java and Python. You'll be joining a company that values diversity, inclusion, and creating economic opportunities for every member of the global workforce. This role offers excellent growth potential and the chance to work on meaningful projects that shape the future of professional networking.
LinkedIn's culture strongly emphasizes well-being and work-life balance, offering generous time-off policies and wellness programs. The company is committed to fair compensation and provides a competitive salary range of $111,000 - $183,000, along with additional benefits like stock options and annual bonuses. This is an excellent opportunity for an early-career AI professional to make a significant impact while working with cutting-edge technology at a global scale.