Senior Manager, Machine Learning Engineering

About the role

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

Responsibilities

• Build and manage a world-class team of engineers and scientists specializing in the design and development of production applications that use machine learning and/or AI.
• Translate product and business needs into scalable ML solutions with clear and measurable outcomes.
• Look around the corner; 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, emphasizing secure, large-scale, distributed system design and AI/ML pipeline and feature development.
• 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

• Machine Learning Engineering
• AI Development
• Software Engineering
• Secure Software Development
• Search and Retrieval Systems
• Personalization and Recommender Systems
• Taxonomy and Classification Systems
• AI Agents
• Relational and Document-Based Databases
• Data Storage Paradigms
• RESTful API Design
• CI/CD Pipelines
• Automated Testing (Unit and Integration)
• Automated Model Performance Evaluation
• Deployment Practices
• Leadership
• Collaboration
• Mentorship
• Communication

Benefits

• Competitive pay and 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.
• Growth opportunities through participation in learning, development, and recognition programs.
• Commitment to Diversity, Equity, and Inclusion through ongoing initiatives and employee resource groups.
• Community engagement through our volunteering program.

Pay

The total annual salary for this full-time position is $267,000 - $401,000 + equity + benefits. The company also offers equity and other benefits to employees, including healthcare, dental, vision, life insurance and 401(k) saving program. In addition to this wage, there are geolocation differentials that will increase pay depending on the work location. Additionally pay may vary depending on other factors including skills, experience, education, or training.

Schedule

This role requires an in-office requirement of 3x a week.

Benefits

• Competitive 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.
• Growth opportunities through participation in learning, development, and recognition programs.
• Commitment to Diversity, Equity, and Inclusion through ongoing initiatives and employee resource groups.
• Community engagement through our volunteering program.

Equal Opportunity Employer

We are an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

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Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

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