Эта роль в Anthropic предлагает сильный акцент на ИИ и оптимизацию производительности, с высокой зарплатой и четкими обязанностями, что делает ее отличной возможностью на рынке технологий.
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Высокая зарплатаЧеткие обязанностиТрендовый доменСильная миссия компанииГибридная модель работы
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Текст:
Hirify AI/Оригинал
TL;DR
Engineering Manager (AI): Leading engineering efforts to improve model performance and scale inference and training systems with an accent on performance optimization, distributed systems, and AI safety. Focus on managing teams, removing bottlenecks, and building robust, efficient AI infrastructure in a fast-paced environment.
Location: San Francisco, CA; New York City, NY; or Seattle, WA. Hybrid policy: staff must work from one of the offices at least 25% of the time, with some roles requiring more office time.
Annual salary: $500,000–$850,000 USD.
Company
Anthropic develops reliable, interpretable, and steerable AI systems with a focus on safe and beneficial outcomes.
What you will do
Lead engineering efforts to improve model performance and scale inference and training systems.
Identify and remove bottlenecks while building robust, durable solutions for compute-intensive systems.
Maintain enough familiarity with the technical stack to make targeted individual-contributor contributions.
Manage day-to-day execution, prioritize work, and lead projects in a dynamic environment.
Coach reports and support their professional growth.
Maintain a deep understanding of the team’s technical work and its implications for AI safety.
Requirements
At least 1 year of management experience in a technical environment, particularly performance or distributed systems.
Background in machine learning, AI, or a related technical field.
Ability to understand and contribute to discussions on complex technical topics.
Experience managing teams through rapid growth and change.
Strong stakeholder relationship-building and communication skills.
Bachelor’s degree or equivalent education, training, and experience in a relevant field.
Nice to have
Experience with high-performance, large-scale ML systems.
GPU or accelerator programming.
ML framework internals, OS internals, or transformer-based language modeling.
Culture & Benefits
Collaborative work across research, engineering, policy, and business functions.
Focus on large-scale research efforts and the development of steerable, trustworthy AI.
Flexible working hours and office-based collaboration.
Hiring process
Visa sponsorship is available, with case-by-case eligibility and immigration lawyer support.
Applicants may use AI during the application process according to Anthropic’s candidate AI usage policy.
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