Machine Learning Manager

Deploy • San Francisco, CA

8d

About The Position

Deploy is hiring a Machine Learning Manager to lead and grow its machine learning team. The role involves managing and mentoring machine learning engineers working on large-scale projects, contributing innovative modeling ideas, and helping team members develop their skills. The manager will collaborate across product management, engineering, DevOps, labeling, and sales to support the team's long-term vision and deliver product milestones. The position spans the full machine learning development cycle, from data collection and labeling through model development, experimentation, training, testing, and production deployment.

Requirements

• Undergraduate or graduate degree in computer science or a similar technical field.
• At least 4 years of experience as a machine learning engineer, including training large deep learning models and working with real-world data.
• Knowledge in at least one machine learning focus area, such as computer vision, audio, or NLP.
• At least 2 years of experience managing machine learning teams.
• Ability to understand and make well-reasoned tradeoffs when designing features.
• Ability to set roadmaps and goals for a team and its individual members, delegate, mentor, and deliver results.
• Experience collaborating with product managers and labeling teams to deliver model improvements.

Responsibilities

• Work closely with product management, engineering, DevOps, labeling, and sales to build a roadmap supporting the team's long-term vision.
• Lead and mentor a team of machine learning engineers, helping them achieve their goals.
• Participate in product technical design and architecture.
• Participate in the full development cycle, including data collection, labeling, model development, experimentation, training, testing, and production deployment.
• Drive delivery of product milestones by releasing models with well-tested features and ensuring quality metrics are achieved.
• Implement and manage security protocols, including training, code review, and best practices.
• Own and manage the risk and security of the business function in coordination with the Security Team.
• Maintain awareness of industry best practices for data maintenance and handling relevant to the role.
• Follow policies, guidelines, and procedures for protecting information assets.
• Report actual or suspected security or policy violations and breaches to an appropriate authority.
• Interview engineers, collaborate with recruiting, and support smooth onboarding of new team members.

Benefits

• Stock options may be offered in addition to base pay.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager