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Senior Technical Program Manager (AI Safety)
183 000 - 271 000$
Описание вакансии
Текст:
TL;DR
Senior Technical Program Manager, AI Safety (AI): Driving operational strategy and execution of AI safety initiatives, coordinating model training and evaluation infrastructure. Focus on managing a broad portfolio of cutting-edge AGI Safety & Alignment research.
Location: Mountain View, California, US. This role involves close collaboration with a geographically dispersed, virtual team spanning Mountain View, New York, London, and Zurich.
Salary: $183,000 - $271,000 + bonus + equity + benefits
Company
is a team of scientists, engineers, and machine learning experts working together to advance AI for widespread public benefit and scientific discovery.
What you will do
- Drive the end-to-end delivery of SFT and RL training data for AI Safety.
- Manage a portfolio of work from model development to long term research in AGI Safety & Alignment.
- Improve processes, streamline execution, and implement tooling improvements.
- Coordinate across diverse groups within Gemini, ensuring all stakeholders are aligned on plans and timelines.
- Manage high-visibility executive reviews, ensuring they are well-prepared and provide clear visibility into program status.
- Manage a team of Technical Program Managers working in AI Safety.
Requirements
- 8+ years of leading large-scale complex programs, preferably across multiple geographies and time zones.
- Possess excellent communication skills to articulate complex technical concepts clearly to diverse audiences, including executive leadership.
- Demonstrated success in fast-paced program execution and deliveries.
- Good understanding of large language models, with knowledge of multi-turn conversations or model behaviour and other alignment related topics in machine learning.
- Demonstrated management experience.
- Must be fluent in English and flexible to work cross-timezone.
Nice to have
- Degree in Computer Science, Engineering or equivalent professional experience.
- Strong understanding of ML/AI principles and the distinctions from traditional software development.
Culture & Benefits
- Value diversity of experience, knowledge, backgrounds and perspectives.
- Committed to equal employment opportunity.
Hiring process
- Any offer of employment will be conditional on the results of a background check.
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