7 часов назад
Field Team - Member of Technical Staff (AI)
200 000 - 325 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Field Team - Member of Technical Staff (AI): Building production-grade integrations, custom pipelines, evaluation workflows, and tooling that deploy Goodfire's interpretability platform inside partner environments with an accent on connecting frontier AI research to production ML stacks. Focus on running rapid pilots, embedding with customer engineering teams, prototyping interpretability techniques, and hardening them for reliable production use.
Location: San Francisco, CA; in person at the San Francisco HQ 5 days a week, with one company-wide remote week per month
Salary: $200,000–$325,000 USD per year, plus equity and benefits
Company
is a San Francisco public benefit research company developing interpretable, safe, and powerful AI systems.
What you will do
- Build production-grade integrations of the interpretability platform into partner environments, including APIs, custom pipelines, internal tooling, and evaluation workflows.
- Design and execute short-timeline pilots that demonstrate the platform's impact.
- Work directly with partner engineering and research teams as the day-to-day technical point of contact.
- Bring field insights back to platform and research teams and develop reusable tooling and playbooks.
- Adapt novel interpretability methods for partner technology stacks, from research prototypes through production hardening.
Requirements
- Strong software engineering skills and production experience with Python and modern ML frameworks, including PyTorch and JAX.
- Ability to understand new research techniques and ship them in production.
- Ability to learn quickly, work through ambiguity, and take ownership of technical delivery.
- Strong communication skills for explaining technical tradeoffs to technical and non-technical stakeholders.
Nice to have
- Technical degree or equivalent experience in AI, ML, or a related field.
- Experience in forward-deployed, solutions, or customer-facing engineering.
- Experience at a high-growth startup or frontier AI lab.
- Experience with large language models, fine-tuning, evaluation frameworks, or agent development.
- Familiarity with interpretability, mechanistic interpretability, sparse autoencoders, or feature steering.
Culture & Benefits
- Mission-focused environment centered on making AI interpretability accessible.
- High-ownership culture that values initiative, continuous improvement, and practical action.
- Fast-paced organization working on technically challenging AI research and deployment.
- Competitive salary, equity, and benefits.
- Work in person at the San Francisco headquarters, with one company-wide remote week each month.
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