7 learning and development lead jobs at 6 companies in San Francisco, CA
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Organizational Development & Learning Lead
New York or San Francisco
$170k-$190k/yrHybridFull Time
Distyl AI: Builds AI-native orchestration platforms for enterprise operations.
Experience owning organizational research, diagnostics, enablement, development programs, and change interventions through adoption; AI fluency and strong judgment in leadership partnerships required. Social sciences PhD preferred.
Ross StoresNASDAQ: ROST: Operates an off-price retail chain selling clothing and home goods.
7+ YOE3+ MgmtBachelor's degree required and 7+ years in training or client-facing roles, including 3–5 years leading programs or teams; expertise in instructional design, adult learning, program management, and facilitation.
8+ YOE3+ MgmtBachelor's degree or equivalent, 8 years software development, 3 years technical leadership, and experience deploying production recommendation systems and architectures across modeling domains.
AI/ML, machine learning, recommendation systems, ML infrastructure
Tech Lead Machine Learning Engineer - CV/NLP/Multimodal LLM, Trust and Safety
San Jose, California, United States
$245k-$588k/yrOnsiteFull Time
TikTok: Global short-form video hosting and social media platform.
4+ YOEMaster's or PhD in CS/ML/AI,4+ years ML system development,experience leading technical teams,deploying large-scale models,expertise in CV/NLP/LLM/multimodal modeling.
8+ YOE3+ MgmtBachelor's or equivalent experience,8+ years software development and system design,3+ years people management,experience with ML/LLMs/NLP/Generative AI,ability to lead engineering teams and collaborate cross-functionally.
Research Scientist Graduate (Multimodal Interaction and World Model) - 2026 Start (PhD)
San Jose, California, United States
OnsiteFull Time
ByteDance: Developing AI-driven content platforms and mobile applications.
Completing or recently completed PhD in a technical discipline, leading AI/ML publications, and research experience in reinforcement learning, multimodal learning, video understanding, or vision-language modeling.