Топовая возможность в одном из ведущих AI-лабов с зарплатой выше рынка и работой над передовыми технологиями выравнивания и безопасности моделей.
?Высокий темп
Зарплата выше рынка
Передовой стек
Трендовая ниша
Прозрачный scope
Мэтч & Сопровод
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Текст:
Hirify AI/Оригинал
TL;DR
Technical Program Manager (AI Safety & Alignment): Leading cross-functional programs for model alignment, safety engineering, and deployment with an accent on RLHF, DPO, and evaluation frameworks. Focus on coordinating between research and infrastructure teams to scale high-stakes AI capabilities while ensuring rigorous safety guardrails.
Location: Redwood City, CA
Salary: $220K – $260K
Company
Character.AI empowers people to connect, learn and tell stories through interactive entertainment using cutting-edge Consumer AI.
What you will do
Lead planning and execution of programs covering data collection, RLHF, DPO, Constitutional AI, and safety red-teaming.
Coordinate workstreams across Post-Training, Safety Engineering, ML Infra, and UXR teams to align roadmaps from development to production.
Develop and maintain custom evaluation frameworks to track model performance, user satisfaction, and safety baselines.
Optimize operational velocity by identifying bottlenecks in data pipelines, annotation quality, and deployment readiness.
Partner with leadership to balance aggressive capability scaling with infrastructure constraints and safety requirements.
Manage external relationships with annotation vendors and evaluation tooling providers.
Requirements
5+ years of experience in TPM, research operations, or product execution within AI/ML environments.
Deep understanding of post-training concepts (SFT, RLHF, LLM evaluation) and model serving.
Proficiency in SQL and Python.
BS in a quantitative, scientific, or technical field.
Proven track record of shipping complex, multi-team programs in ambiguous environments.
Exceptional communication skills for translating technical work into leadership narratives.
Nice to have
Experience with data pipelines, annotation platforms, or human-in-the-loop workflows.
Familiarity with ML infrastructure (Kubernetes, Docker, cloud) and distributed training.
Prior experience in a foundation model lab or Trust & Safety engineering team.
Direct experience managing AI red-teaming or quality evaluation programs.
Culture & Benefits
Comprehensive health coverage for employees and their families.
Generous 401(K) contributions.
Up to 20 weeks of paid parental leave.
4 weeks of PTO.
Daily in-office catering and a monthly Doordash stipend.
Monthly wellness stipend.
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