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Текст:
Hirify AI/Оригинал
TL;DR
Engineering Manager (AI/Distributed Systems): Leading a team of ML and distributed systems experts to build tools for large-scale distributed finetuning and researcher productivity with an accent on efficiency and fast iteration. Focus on designing operational processes, coaching engineers, and scaling the team through rapid growth.
Location: San Francisco, CA or New York City, NY. Hybrid policy requires staff to work from an office at least 25% of the time; some roles may require more office time.
Annual salary: $405,000–$850,000 USD
Company
Anthropic is an AI safety and research company building reliable, interpretable, and steerable AI systems.
What you will do
Lead and prioritize work on research tools supporting large-scale distributed fine-tuning runs and researcher productivity.
Collaborate with research, product, and infrastructure teams to integrate innovations into production fine-tuning pipelines.
Improve the efficiency of training runs, data pipelines, and model development iteration.
Design operating processes including postmortem reviews, incident response, and on-call rotations.
Coach reports and support professional growth, performance evaluation, mentorship, and career development.
Run recruiting efforts, including staffing planning, interview loops, candidate evaluation, and closing.
Requirements
At least 2 years of management experience and an active interest in people management.
Bachelor’s degree or an equivalent combination of education, training, and experience.
Education, training, or professional experience in a field relevant to the role.
Ability to understand complex technical systems at a high level and work across organizational boundaries.
Ability to work from the San Francisco or New York City office at least 25% of the time.
Nice to have
Experience working with research teams in a research-to-production pipeline.
Strong people management experience, including coaching, performance evaluation, mentorship, and career development.
Strong project management and cross-functional communication skills.
Experience recruiting and growing technical teams.
Culture & Benefits
Collaborative work across research, engineering, policy, business, and product disciplines.
Flexible working hours and a collaborative office environment.
Generous vacation and parental leave.
Competitive compensation and optional equity donation matching.
Visa sponsorship is available, with immigration lawyer support, although sponsorship cannot be guaranteed for every role and candidate.
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