Эта роль в Anthropic предлагает сильный акцент на передовые исследования и разработки в области ИИ, с высокой зарплатой, которая отражает спрос на экспертизу в этой области.
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Высокая зарплатаПередовой доменСильная миссия компанииГибридная модель работы
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Research Engineer, Production Model Post Training (AI): Implementing and optimizing post-training techniques for AI models with an accent on enhancing model quality, safety, and capabilities. Focus on debugging complex issues, collaborating across teams, and developing robust pipelines for model evaluation.
Location: San Francisco, CA; New York City, NY; or Seattle, WA. Hybrid work is required, with staff expected to be in one of the offices at least 25% of the time.
Annual salary: $350,000–$500,000 USD
Company
Anthropic develops reliable, interpretable, and steerable AI systems, including production Claude models.
What you will do
Implement and optimize post-training techniques at scale for frontier models.
Research and improve post-training recipes that increase production model quality, safety, and capabilities.
Design, build, and operate efficient pipelines for model fine-tuning and evaluation.
Develop tools to measure and improve model performance across multiple dimensions.
Collaborate with research teams to convert emerging techniques into production-ready implementations.
Debug complex training pipeline and model behavior issues while establishing reliable, reproducible post-training practices.
Requirements
Strong software engineering skills and experience building complex machine learning systems.
Proficiency in Python, deep learning frameworks, and distributed computing.
Experience with training, fine-tuning, or evaluating large language models.
Experience working with large-scale distributed systems and high-performance computing.
Ability to balance research exploration with engineering rigor and operational reliability.
Bachelor’s degree or equivalent education, training, and experience in a relevant field.
Nice to have
Hands-on experience with frontier AI systems.
Strong interest in AI safety and responsible deployment.
Culture & Benefits
Collaborative research environment focused on large-scale AI efforts.
Flexible working hours and office-based collaboration.
Generous vacation and parental leave.
Competitive compensation and benefits.
Optional equity donation matching.
Hiring process
All interviews for this role are conducted in Python.
The role may require responding to incidents on short notice, including weekends.
Visa sponsorship is available, with immigration lawyer support, although sponsorship cannot be guaranteed for every candidate.
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