3 дня назад
Staff Machine Learning Engineer (AI)
205 000 - 330 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Machine Learning Engineer (AI): Designing and shipping production ML systems for governance and security with an accent on model evaluation, data pipelines, and scalable infrastructure. Focus on integrating frontier LLMs with traditional ML to create a secure runtime for trusted autonomy.
Location: Remote (US)
Salary: $205,000 – $330,000
Company
is a developer tooling platform used by millions to build, share, and run applications via containers.
What you will do
- Design, train, and ship ML systems for governance and security, focusing on prompt injection detection and trust scoring.
- Build critical infrastructure including data pipelines, feature stores, and model serving harnesses.
- Set the technical direction for ML architecture, evaluation methodologies, and the model lifecycle.
- Make strategic build-vs-buy decisions using frontier models and managed services to accelerate delivery.
- Mentor team members and contribute to the growth of the Intelligence organization through recruiting.
- Participate in a 24/7 on-call rotation for the Agentic Platform.
Requirements
- Must be based in the United States
- 5+ years of applied ML/AI expertise with a track record of shipping production systems.
- 8+ years of professional software engineering experience in backend, infrastructure, or platform engineering.
- Proven experience building and owning ML systems (pipelines, serving, evaluation, and monitoring).
- Deep proficiency with LLM-based systems, including prompt engineering, fine-tuning, and retrieval.
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
Nice to have
- Experience in fraud, abuse, safety, security, or trust domains.
- Familiarity with the agent / MCP ecosystem.
Culture & Benefits
- Remote-first culture with high flexibility and home office setup support.
- Quarterly "Whaleness Days" and an end-of-year break.
- 16 weeks of paid parental leave.
- Technology and training stipends for conferences and courses.
- Equity ownership in a growing company.
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