2 часа назад
Platform Research Engineer (AI/ML)
200 000 - 335 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Platform Research Engineer (AI/ML): Building continual learning infrastructure, trace mining systems, synthetic environments, evaluations, and reinforcement learning capabilities for enterprise agent workforces with an accent on production research and multi-agent systems. Focus on designing self-distillation algorithms, developing coding agents and evaluation frameworks, and translating customer deployment learnings into generalizable platform features.
Location: On-site in San Francisco, California, United States
Salary: $200,000–$335,000 annual base salary, plus equity and benefits.
Company
builds continual learning infrastructure that helps enterprises train proprietary-data agent workforces, evaluate models, and deploy agents that improve with use.
What you will do
- Build and improve hinting primitives, algorithms, and systems for online self-distillation and continuous learning from production traces.
- Develop trace search, trace mining, data labeling, synthetic environment, and evaluation systems that support the continual learning loop.
- Research multi-agent system architectures, including agent coordination and trade-offs between different approaches.
- Build coding agents that automatically create delivery agents and hill-climbing harnesses.
- Translate customer deployment and applied research learnings into generalizable platform features.
- Collaborate with AI product engineers to integrate ML capabilities into polished platform experiences.
Requirements
- Strong software engineering fundamentals combined with deep ML and AI knowledge.
- Production research experience, including training models for production deliveries and publishing in conferences, blogs, or reports.
- Strong experimental design skills and a rigorous approach to running experiments.
- Ability to manage complexity across multiple workstreams.
- Ability to read research papers and translate prototypes into shippable engineering.
- Ability to work on-site from the San Francisco office.
Nice to have
- Experience with reinforcement learning, continual learning, or distillation.
- Experience building evaluation frameworks, benchmarks, or data quality systems.
- Experience with multi-agent system architectures and their trade-offs.
- Published work or open-source contributions in AI/ML systems.
- Experience as a founder or early engineer at a zero-to-one company.
Culture & Benefits
- Product-led, research-enabled, and forward-deployed work with enterprise customers.
- 100% employer-paid health insurance.
- Unlimited PTO and paid parental leave.
- Daily lunches and dinners, transportation support, and retirement plans.
- Equity and relocation support.
- Visa sponsorship is available.
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