Machine Learning Team Lead

1 semana atrás


Lisboa, Lisboa, Portugal Tripadvisor Tempo inteiro
Job Summary
We are seeking an experienced Machine Learning Manager to lead our team in designing and building next-generation AI systems at Tripadvisor. As a seasoned leader, you will oversee the development and deployment of machine learning models and systems, fostering a culture of innovation and collaboration.

About Us
Tripadvisor is the web's leading travel information site, with a mission to help travelers make informed decisions. Our machine learning team creates systems that influence the travel decisions of millions of people per day.

The Role
As a Machine Learning Manager, you will lead a team of highly talented ML engineers focusing on content-related or search-related AI projects. Your responsibilities will include setting clear goals and expectations for the team, providing regular feedback and coaching, and developing strategies to attract and retain top talent. You will also oversee the end-to-end development and deployment of machine learning models and systems, ensuring high quality, reliability, and scalability.

Requirements
To be successful in this role, you should have a deep understanding of machine learning algorithms and frameworks, combined with excellent leadership and communication skills. A strong technical expertise in machine learning, experience working in an agile environment, and cloud computing platforms such as AWS, Azure, or GCP are required. Additionally, you should have a passion for tackling complex technical challenges in the machine learning space and a growth mindset, always seeking opportunities for continuous learning and improvement.

Benefits
As a Machine Learning Manager at Tripadvisor, you can expect a competitive salary range of $180,000 - $250,000 per year, depending on location and experience. You will also enjoy a comprehensive benefits package, including health insurance, retirement plans, and paid time off. Furthermore, you will have opportunities for professional growth and development, including access to online learning resources and participation in industry conferences.

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