Remote ML Manager

Summary

Join the Tripadvisor Machine Learning Team as a leader to design and build next-generation AI systems, improving customer experience through content-related AI projects.

Requirements

• Bachelor's degree or higher in Computer Science, Engineering, or a related field
• 6+ years of experience in machine learning engineering, with a proven track record of leading and managing teams to deliver successful machine learning projects
• Strong technical expertise in machine learning algorithms, deep learning frameworks, and software engineering best practices
• Excellent leadership, communication, and interpersonal skills, with the ability to inspire and motivate a team towards a shared vision and goals
• Experience working in an agile environment and leading teams through the full software development lifecycle
• Strong problem-solving skills and a passion for tackling complex technical challenges in the machine learning space

Responsibilities

• Lead and mentor a team of machine learning engineers
• Set clear goals and expectations for the team, and provide regular feedback and coaching to help them grow both technically and professionally
• Develop and implement strategies to attract, retain, and develop top talent in the machine learning engineering field
• Oversee the end-to-end development and deployment of machine learning models and systems, ensuring high quality, reliability, and scalability
• Collaborate with cross-functional teams including product managers, software engineers, and data scientists to define project requirements, timelines, and deliverables
• Monitor project progress, identify risks and challenges, and proactively take steps to address them to ensure successful project outcomes
• Provide technical guidance and expertise to the team, helping to solve complex technical challenges and drive innovation in machine learning algorithms and techniques
• Stay up-to-date with the latest advancements in machine learning research and technology, and leverage this knowledge to inform decision-making and drive improvements in our products and processes
• Foster a culture of experimentation and exploration, encouraging the team to explore new ideas and approaches to solving problems
• Communicate effectively with key stakeholders, including senior leadership, to provide updates on project status, solicit feedback, and align on strategic priorities
• Act as a liaison between the machine learning engineering team and other departments, ensuring alignment and collaboration on cross-functional initiatives
• Drive continuous improvement initiatives to optimize team processes, tools, and workflows, with a focus on efficiency, scalability, and quality
• Foster a culture of data-driven decision-making, leveraging metrics and analytics to measure performance, identify areas for improvement, and drive actionable insights

Benefits

Culture of personal development, including social activities, journal clubs, memberships in online learning resources, and participation in industry conferences