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Research Compute Operations
270 000 - 290 000$
Описание вакансии
Текст:
TL;DR
Research Compute Operations: Own the researcher experience with internal compute infrastructure, providing day-to-day support and driving improvements. Focus on gathering user feedback, prioritizing improvements, and building automations for common operational workflows.
Location: Hybrid, expected to be in one of the San Francisco, CA or New York City, NY offices at least 25% of the time.
Salary: $270,000 - $290,000 USD
Company
’s mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society.
What you will do
- Serve as a primary point of contact for researchers using internal compute infrastructure.
- Proactively monitor usage patterns and work with researchers to optimize their workloads.
- Help design the product roadmap for research inference tooling.
- Prototype better tools: dashboards, automations, and self-service workflows.
- Build automations (using Claude) for common operational workflows.
Requirements
- Have an engineering background (or equivalent technical depth).
- Can query data, understand infrastructure, debug issues, and build tools and scripts to prototype solutions quickly.
- Are a systems-thinker and comfortable navigating ambiguity across teams.
- Use Claude or other AI tools daily.
- Bachelor's degree in a related field or equivalent experience required.
Nice to have
- An understanding of compute infrastructure and familiarity with concepts like rate limiting, autoscaling, and request prioritization.
- Background in ML infrastructure, ML engineering, or research engineering.
- Experience with large-scale accelerator clusters (TPUs, GPUs, or similar).
- Familiarity with ML training pipelines and how they consume inference capacity.
- Track record of building internal tools or developer platforms.
- Experience in developer experience (DevEx) or platform engineering.
Culture & Benefits
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.