1 день назад
Staff Machine Learning Engineer (Agentic Systems)
155 000 - 235 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Machine Learning Engineer (Agentic Systems) (LLM-driven robotics): Designing System 2 planning and reasoning architectures that enable Atlas humanoid robots to perform long-horizon tasks in dynamic environments with an accent on VLM inference, memory, tool use, and robust autonomy. Focus on evaluating reasoning quality, safety, reliability, and generalization while translating agentic research into production systems.
Location: Waltham Office, United States; onsite
Salary: $155,000–$235,000 annually, plus an annual bonus structure
Company
develops humanoid robotics technology and commercial solutions for industrial, logistics, and warehouse applications.
What you will do
- Design and implement System 2 architectures for humanoid robot control, including planning, reasoning, memory, and tool-use frameworks.
- Build logging, observability, and evaluation methodologies to measure reasoning quality, safety, reliability, and generalization.
- Collaborate with behavior, controls, perception, and product teams to ship end-to-end robotic capabilities.
- Work with customers and internal stakeholders to understand real-world use cases and develop practical, reliable solutions.
- Translate state-of-the-art agentic research into production systems.
- Contribute through code reviews, testing, documentation, and thoughtful system design.
Requirements
- 5+ years of professional software engineering experience, including significant work on LLM-driven or agentic systems.
- Hands-on experience building or deploying agentic architectures such as coding agents, tool-using LLM systems, or autonomous task agents.
- Experience improving agentic system performance through evaluation and benchmarking.
- Strong fundamentals in data structures, algorithms, distributed systems, and software architecture.
- Ability to ship reliable, maintainable, and well-tested software.
- Ability to reason about safety, failure modes, and robustness in autonomous systems.
Nice to have
- Experience with robotics systems, vision models, and VLAs.
- Strong proficiency in TypeScript, Python, and/or C++ across large codebases.
- Knowledge and application of coding agents.
- Research, open-source, or novel production systems contributions that advance the state of the art.
Culture & Benefits
- Opportunity to work on Atlas humanoid robots and cutting-edge robotics technology.
- Medical, dental, and vision benefits.
- 401(k) and paid time off.
- Annual bonus structure.
- Rapidly growing commercial environment focused on customer-facing technology and solutions.
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