Senior Manager, Machine Learning Engineering

About the role

We’re looking for a Senior Manager, Machine Learning Engineering to join our Applied Science team. This role will lead a team of engineers and scientists in delivering high-impact solutions for our users and business.

Responsibilities

• Design, build, and deploy innovative services and applications using state-of-the-art machine learning and AI techniques.
• Translate product and business needs into scalable ML solutions with clear and measurable outcomes.
• Identify opportunities to develop and deliver new technology that will delight customers and advocate for these projects.
• Provide technical leadership on algorithms, architectures, and tooling; set high standards, evangelize best practices, and influence decisions.
• Drive the end-to-end ML lifecycle, including data pipelines, feature engineering, training, evaluation, A/B testing and experimentation, and production deployment.
• Employ robust ML Ops practices: CI/CD, model serving, monitoring, alerting, and model/version governance.
• Lead initiatives to streamline application development workflows, increase team velocity, and maximize business impact.
• Contribute to strategic planning and the development of the Applied Science roadmap.
• Coach and mentor engineers and scientists, fostering a culture of collaboration, continuous improvement, and engineering excellence within the team.
• Champion responsible AI, privacy, and compliance in data use, modeling, and user experiences.

Requirements

• 9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields.
• 3+ years of experience managing teams of machine learning engineers, data scientists, data engineers, software engineers, and related roles.
• Extensive experience designing, developing, and operating scalable backend systems and applying secure software engineering best practices.
• Deep expertise developing search and retrieval systems, personalization and recommender systems, ontologies and classification systems, and AI agents.
• Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design.
• Experience employing robust CI/CD pipelines, automated testing (unit and integration), automated model performance evaluation, and deployment practices.
• Strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture.
• A track record of innovation, cross-functional collaboration, and hiring top-tier talent.
• Excellent communication skills, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred).
• Proficiency in Python and provisioning cloud-based infrastructure via code (AWS preferred).

Skills

• Strong understanding of machine learning and AI principles.
• Experience with large-scale distributed systems.
• Knowledge of data storage and retrieval systems.
• Ability to lead and mentor a team.
• Effective communication and collaboration skills.

Benefits

Competitive pay, comprehensive healthcare benefits, financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.

Pay

The total annual salary for this full-time position is $225,000 - $337,000 + equity + benefits.

Schedule

This is a hybrid position, requiring an in-office requirement of 3x a week.