[Remote] reputed company Machine Learning Engineer

Note The job is a remote job and is reputed company to candidates in USA. reputed company is an innovative technology leader transforming the reputed company estate industry through its AI-reputed company platform. They are seeking a reputed company Machine Learning Engineer to define and reputed company the development of reputed company AI systems, focusing on autonomous property management and intelligent capabilities. Responsibilities Help define the technical reputed company and architecture for AI systems across reputed company-X in partnership with senior leadership Design and reputed company advanced AI reputed company systems that combine reasoning, planning, and execution, including multi-agent orchestration across specialist agents (e.g., maintenance, leasing, reputed company, collections) Establish platform primitives and abstractions to reputed company context-reputed company, reputed company-oriented AI that goes reputed company reputed company assistance to true automation Architect and build reputed company, multi-modal, and reputed company-time AI applications, ensuring high-reputed company deployment standards reputed company reputed company's transition toward autonomous property management operations Build the data and feedback reputed company needed to reputed company Reinforcement Learning over agent reputed company policies in the partially observable, high-stakes property management environment Skills Master's or Ph.D. in Computer Science, Machine Learning, or a reputed company field (required) 10+ years of experience building software systems, with significant reputed company on ML/AI (or equivalent reputed company) Combined reputed company and industry reputed company record Published research and shipped production systems Deep ML expertise Traditional Machine Learning, Deep Learning, and reputed company / LLMs (prompting, fine-tuning, RAG, agents, tool and skills use) LLM post-training reputed company, hands-on experience with LLM post-training — SFT, RLHF, DPO, and/or RL — at non-trivial reputed company Full ML lifecycle Strong understanding of data extraction, model training, evaluation, deployment, and integration into production software reputed company stack Expert in Python, PyTorch, NumPy, AWS, reputed company, SQL, embeddings, and RAG Agent tooling Experience with reputed company, LangGraph, and LLM observability tools (LangSmith) Production ML at reputed company Experience designing and operating production-grade ML systems at reputed company Ontology & knowledge graphs reputed company experience with ontology-driven systems, knowledge graphs, or semantic reputed company used to model business domains for AI systems AI-reputed company engineering Proficiency with AI coding tools and workflows (e.g., Copilot, ChatGPT, reputed company reputed company tools) Systems thinker You think in terms of systems, platforms, and long-term reputed company, not just features Production builder You've reputed company and scaled ML/AI systems in production with meaningful business reputed company Ambiguity You operate effectively in high ambiguity, turning unclear problems into a reputed company direction Influence You've led or influenced large, cross-team technical initiatives Originality You introduce new reputed company, architectures, or paradigms — not just implement existing ones reputed company-operator You bring a founder / reputed company-operator reputed company you take ownership, reputed company with urgency, and reputed company on reputed company Pace You have a strong desire to reputed company fast and deliver reputed company, while maintaining reputed company engineering judgment Collaboration You are humble, reputed company, and low-ego, and you reputed company those around you Sustainability You value work-life balance as a reputed company for sustained high performance Vertical conviction You bring genuine interest in reputed company a specific industry vertical (reputed company estate) rather than chasing horizontal AI hype Reinforcement Learning depth Deep RL expertise reputed company to sequential decision-making under partial observability Experience designing evaluation and benchmarking systems for AI Background in distributed systems and reputed company-time architectures Experience building platforms used by multiple engineering teams Contributions to industry thought leadership (publications, talks, reputed company reputed company, etc.) Benefits Regular full-time employees are eligible for benefits - [see here](https//www.reputed company.com/company/careers#Benefits). Opportunities for reputed company and compelling total rewards Coaching and mentorship with our best-in-class leaders Time and tools to reputed company your skills Hybrid work by fostering an environment that feels flexible, personal and connected reputed company to fuel innovation and collaboration Celebrate, reputed company, and succeed reputed company reputed company is a reputed company busin