Senior Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Machine Learning Engineer (AI): Building and optimizing next-generation quality systems powered by LLMs and AI agents with an accent on evaluation frameworks and behavioral signals. Focus on designing scalable AI infrastructure and translating ambiguous organizational needs into technical strategy to improve product reliability.
Location: Must be based in the United States (Remote)
Salary: $194,500 – $343,100 USD (depending on location zone)
Company
builds technology to increase access to the global economy through diverse brands including Square, Cash App, Afterpay, and TIDAL.
What you will do
- Lead the technical strategy and architecture for AI-driven quality and evaluation systems used across multiple product teams.
- Develop scalable systems using LLMs, agents, and behavioral signals to evaluate quality and detect regressions.
- Define long-term approaches for measurement and quality intelligence across complex product surfaces.
- Translate ambiguous organizational needs into clear technical roadmaps and platform capabilities.
- Influence engineering standards and best practices for building reliable and trustworthy AI systems.
- Mentor engineers through technical leadership, design reviews, and systems thinking.
Requirements
- 5+ years of experience in software engineering, machine learning engineering, or applied AI.
- Deep experience designing and shipping large-scale AI/ML systems in production environments.
- Strong expertise with LLMs, agents, evaluation systems, and retrieval architectures.
- Proven ability to lead high-impact technical initiatives from concept through adoption.
- Strong architectural judgment with the ability to balance experimentation and operational rigor.
- Must be based in the United States.
Culture & Benefits
- Remote work options.
- Comprehensive medical insurance and retirement savings plans.
- Flexible time off.
- Modern family planning support.
- Inclusive work environment with a commitment to equal opportunity.
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