Fetch
Senior Manager, Machine Learning Engineering - Ad Platform
USA · Senior · Full-time
Sponsorship not specifiedDetected 1 day ago
PythonCode ReviewSQLMachine LearningData ScienceMLOpsA/B TestingForecastingCommunicationCollaborationCritical ThinkingMentoringAdaptability
About the role
- Translate product and technical strategy into quarterly and annual roadmaps with measurable product, technical, and delivery outcomes.
- Guide the development of ML solutions for areas such as ad ranking, targeting, bidding, inventory forecasting, optimization, and measurement.
- Make sound trade-offs across delivery speed, model performance, scalability, reliability, maintainability, and technical debt.
Responsibilities
- Partner with Product, Data Science, Analytics, and Engineering teams to define success metrics, experimentation strategies, and technical priorities.
- Raise the engineering bar through strong design reviews, code reviews, operational ownership, and architectural standards.
- Coach engineers on system design, technical decision-making, execution, and career development.
- Drive alignment and execution across teams with shared systems, goals, and dependencies.
- Engineers at Fetch take pride in building reliable, scalable systems that serve millions of users.
Requirements
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
- Experience translating business and product objectives into technical roadmaps and measurable outcomes.
- Strong understanding of the ML lifecycle, including data quality, feature development, training, evaluation, deployment, monitoring, and iteration.
- Experience making technical trade-offs involving model quality, latency, scalability, reliability, and maintainability.
- Strong communication and stakeholder-management skills, including the ability to influence without direct authority.
- Familiarity with ad auction dynamics, bidding, targeting, inventory forecasting, attribution, and campaign measurement.
- Experience leading teams responsible for low-latency, high-scale production systems.
- Strong understanding of experimentation, causal inference, and incrementality measurement.
- Experience with modern MLOps practices, feature platforms, model monitoring, and automated training and deployment pipelines.
- Experience working with large-scale data processing and distributed systems.
Compensation
- At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire.
- Translate product and technical strategy into quarterly and annual roadmaps with measurable product, technical, and delivery outcomes.
Benefits
- You will lead engineers through ambiguous, business-critical problems while maintaining a strong balance between product delivery, model quality, reliability, scalability, and long-term technical health.
- Lead and develop a team of machine learning engineers responsible for business-critical Ad Platform systems.
- Discover our benefits and how our employees live rewarded at https://fetch.com/careers.
This listing is sourced directly from Fetch's careers page and normalized into a canonical job model.