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Principal Machine Learning Engineer, Agentic AI (AI)
204 400 - 326 600$
Описание вакансии
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TL;DR
Principal Machine Learning Engineer, Agentic AI (AI): Developing advanced multimodal foundational technologies with an accent on perception and language understanding, deep reasoning, and reinforcement learning for AI agent decision-making. Focus on prototyping ideas, evaluating, and deploying models to 's highly scalable infrastructure platforms.
Location: Must be based in the US
Salary: $204,400.00 - $326,600.00 annually
Company
is reimagining real estate to make home a reality for more and more people.
What you will do
- Design, prototype, and develop multi-agent systems capable of highly autonomous and context-aware interactions, leveraging frameworks like AgentSDK and LangChain/LangGraph.
- Build agentic prototypes using advanced GenAI models (including reasoning models and real-time voice APIs) and convert them into product-level agentic skills for user deployment.
- Mentor and guide engineers in using appropriate technologies for agentic AI solutions, fostering innovation and responsible AI usage.
- Distill complex research findings and system designs into actionable insights for diverse audiences, including executives.
- Refine processes for experimentation, A/B testing, and production rollouts to balance rapid innovation with reliability and responsible deployment.
Requirements
- Master's degree or above in Computer Science, Electrical Engineering, or a related field with emphasis on foundational LLM, agentic AI, reinforcement learning, AI planning, or natural language processing.
- 7+ years of hands-on experience building large-scale, high-impact solutions, ideally with recent experience (within the last two years) in building agent-based systems, multi-agent collaboration, or similar paradigms.
- Experience developing dialogue systems capable of long conversations, multi-step reasoning, and context-rich decision-making.
- Experience deploying and scaling AI services capable of handling hundreds of millions of daily interactions with high availability, low latency, and robust fault tolerance.
Nice to have
- A track record of publishing high-impact research in top AI/ML venues is a big plus.
Culture & Benefits
- Comprehensive medical, dental, vision, life, and disability coverages.
- Parental leave and family benefits.
- Retirement contributions and paid time off.
- A distributed-first model built on trust and clear systems.
- Support for employees in doing their best work and living a flexible, well-balanced life.