Sr. Staff Machine Learning Engineer, Homefeed
Leads the engineering organization and technical strategy for Pinterest’s AI foundations, proactive experiences, and assistant capabilities. The role requires senior leadership experience managing managers, strong AI/platform depth, cross-functional execution, and a track record of building scalable, high-performing teams.
About the job
Responsibilities
- Define and drive organizational and technical strategy for AI Foundations and Proactive Experiences, including LLM-powered systems, agentic workflows, orchestration, and agentic user experiences.
- Build and lead a high-performing engineering organization of senior engineers and technical leads across multiple workstreams.
- Partner with Product, Design, Research, and Data Science to shape roadmaps for proactive and assistive experiences.
- Lead foundational AI capabilities for context-aware, personalized, and anticipatory experiences, including model integration, user understanding, orchestration, safety, and evaluation.
- Drive a multi-year roadmap for reusable AI capabilities across product surfaces and use cases.
- Raise engineering standards for reliability, experimentation, privacy, security, operational health, and cost efficiency.
- Establish operating mechanisms for technical direction and delivery, including planning, design reviews, roadmap management, goal setting, and dependency management.
- Hire, retain, and develop talent while fostering an accountable, inclusive, high-performing engineering culture.
- Coach managers and senior individual contributors and develop the leadership bench.
- Partner with senior leadership to align investments, resolve tradeoffs, and focus on high-leverage opportunities.
Requirements
- Significant experience leading engineering teams in AI/ML, personalization, intelligent product experiences, platform engineering, or consumer-facing AI systems at scale.
- Experience managing managers and senior technical leaders across complex, cross-functional problem spaces.
- Strong track record driving strategy and execution for large-scale technical organizations involving AI systems, platform capabilities, personalization, or generative AI.
- Experience with one or more of foundation model integration and LLM-powered systems, personalization and user understanding, agentic systems and orchestration, proactive or assistive experiences, or generative AI infrastructure, tooling, and evaluation.
- Ability to lead through ambiguity and turn early-stage opportunities into roadmaps, team structures, and measurable outcomes.
- Strong product and business judgment.
- Excellent partnership skills with Product Management, Design, Data Science, Research, and engineering leadership.
- Strong technical depth in architecture, platform design, model tradeoffs, and execution risks.
- Track record of building inclusive, high-performing engineering cultures and developing leaders.
- Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
Nice to Have
- Experience with global-scale consumer products, personalization, creator tools, assistants, content understanding, or intelligent recommendation experiences.
- Experience leading AI assistants, proactive recommendation systems, agentic workflows, or LLM-powered consumer experiences.
- Experience scaling organizations through foundation-model adoption, AI infrastructure modernization, or shared AI capabilities across product areas.
Compensation and Benefits
- Base salary range: $208,592–$429,545.
- Eligible for equity.
- In-office collaboration is required 1–2 times per month.
Skills
Artificial Intelligence, Machine Learning, LLMs, Agentic Systems, Personalization, User Understanding, AI Infrastructure, Model Integration, Orchestration, Generative AI, Evaluation Frameworks, System Reliability, Privacy, Security, Data Science
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