Engineering Manager, Machine Learning

The job overview for this position is that the Machine Learning Engineering Manager will be responsible for leading a team in the development and deployment of machine learning models and systems. They will work closely with the VP of Engineering and ML Product Manager to execute the Deep Learning TTS strategy and ensure that the team is working on the right projects. The manager will also be responsible for providing technical expertise, managing multiple projects, collaborating with other departments, communicating progress to stakeholders, and hiring top talent for the team. The ideal candidate will have a deep understanding of machine learning concepts, data science experience, strong technical and software development skills, management experience, and a strategic mindset.

Leading the Machine Learning Team: You will be responsible for leading a team of ML Platform engineers, data engineers and data scientists, setting goals, providing career guidance, preparing performance reviews, managing their day-to-day work, and ensuring they have the necessary resources and support to complete their tasks.

Machine learning strategy and roadmap: You will be responsible for working with the CTO and Staff-level ML Engineer and TTS Product Manager to execute the Deep Learning TTS strategy for your team, working closely with stakeholders to understand their needs and priorities and ensuring that your team is working on the right projects.

Providing Technical expertise: Using your understanding of TTS machine learning techniques and technologies, as well as experience working with large data sets and cloud computing platforms, you will guide the team by setting direction and removing roadblocks.

Project management: You will be responsible for managing multiple machine learning projects simultaneously, leading backlog grooming and sprint planning, and generally ensuring that deliverables are met on time and within budget.

Collaboration: You will need to work closely with other departments within your organization, including product management, the broader engineering team, and the TTS Product Manager to ensure that your team is aligned with the broader goals of the organization.

Communication: You will need to communicate technical concepts and progress updates to non-technical stakeholders, including executives and business leaders.

Hiring: You will be responsible for hiring and recruiting top talent for your team, ensuring that they have the necessary skills and experience to contribute to your organization's success.

• Bachelor's or master's degree in computer science, machine learning, data science, mathematics, or a related field
• 5+ years of experience in designing and implementing machine learning models and systems
• 2+ years of experience in managing a team of engineers and/or data scientists
• Excellent communication and collaboration skills
• Strategic mindset and ability to align machine learning strategy with business objectives
• Experience working with large data sets and data visualization
• Familiarity with databases and data storage systems such as GCS or S3, and content management systems such as Hygraph
• Proficiency in software development practices and writing clean, defensible code
• Deep understanding of machine learning concepts and techniques
• Proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn

• Inclusive work environment that emphasizes personal and professional growth
• Fully distributed team throughout the U.S. with flexible schedules
• Supportive teammates available for assistance
• Competitive salary and stock options
• Full medical, dental, and vision insurance
• Matching 401(k) plan
• Generous vacation policy/paid time off
• Parental leave
• Learning & development stipend
• Home office stipend
• Hiring salary range of $180,000 - $210,000
• Equal opportunity workplace with a commitment to diversity and inclusion