Machine Learning Engineering Manager

WHAT YOU'LL DO

• Team Leadership: Lead, mentor, and manage a team of software engineers, data scientists, and machine learning engineers, fostering a collaborative and innovative environment.
• Develop and execute the strategic roadmap for machine learning projects focused on search and recommendations, ensuring alignment with business objectives.
• Provide technical guidance and oversight for the design, implementation, and optimization of machine learning models and systems.
• Oversee the development of end-to-end machine learning solutions, including architecture implementation, data pipeline construction, model serving solutions, and productionizing models.
• Work closely with senior leadership, product managers, and other stakeholders to define project requirements, set priorities, and ensure successful project delivery.
• Ensure the quality and reliability of machine learning models and systems through rigorous testing, monitoring, and continuous improvement practices.
• Foster technological innovation within the team, encouraging the adoption of state-of-the-art techniques and tools, and ensuring the team's output evolves with industry advancements.
• Conduct regular performance reviews, provide feedback, and support the professional development of team members.
• Promote a culture of continuous learning and improvement, staying updated with the latest advancements in machine learning and related fields, and encouraging team members to do the same.

WHO YOU ARE

• BSc, MSc, or PhD in relevant fields such as Computer Science, Machine Learning, Data Science, or related disciplines.
• Strong expertise in machine learning, data science, and software engineering, with hands-on experience in Python, TensorFlow, PyTorch, Scikit-learn, and other relevant libraries and frameworks.
• Proven experience in leading and managing engineering teams, with a track record of delivering successful machine learning projects.
• Ability to develop and communicate a clear vision for the team's work, aligning it with the company's goals and ensuring a strategic approach to problem-solving.
• Strong project management skills, including the ability to prioritize tasks, manage resources, and deliver projects on time and within budget.
• Exceptional communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
• Passion for staying updated with the best practices and tools of modern software engineering, machine learning advancements, and advocating for continuous improvement within the team.