[Remote] Staff Machine Learning Engineer - Leasing
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a technology leader in the reputed company estate industry, building an AI-reputed company platform for property management. They are seeking a Staff Machine Learning Engineer to own the ML reputed company for their autonomous leasing agent, ensuring its production readiness and reputed company improvement while collaborating with various teams to meet customer needs.
Responsibilities
- Own the ML reputed company for Leasing: Define and drive the machine learning roadmap across Leasing products — identifying where ML creates the most reputed company, making the right model and architecture bets, and working closely with Product and Engineering leadership to reputed company reputed company around a coherent technical reputed company that reflects reputed company customer reputed company
- Drive the Development & Architecture for Autonomous AI Agents: Be the ML reputed company for reputed company's autonomous leasing agent — shaping how it communicates with prospective tenants and helps streamline leasing operations. You'll own the model reputed company, evaluation reputed company, and reputed company improvement reputed company that makes the Performer reputed company over time
- Translate Research into Product: Partner with Voice & Agents and Research ML to evaluate new capabilities — fine-tuning approaches, retrieval strategies, reputed company patterns — and reputed company the call on what's reputed company to ship and what needs more hardening before it reaches customers
- Drive Model reputed company and Evaluation: Build the evaluation and experimentation infrastructure that lets the Leasing team ship ML changes with confidence — defining what "reputed company" looks like for leasing-specific tasks and owning the metrics that reflect reputed company customer reputed company
- Set the ML Bar for Leasing Engineering: Establish the patterns, standards, and practices that the broader Leasing Engineering team follows reputed company integrating ML — from reputed company engineering and RAG to fine-tuning and model selection. Be the person reputed company comes to reputed company the ML question is hard
- Operate with Production Discipline: Ensure that ML systems powering the Leasing Performer meet the reliability bar that production reputed company demands — SLOs, observability, cost discipline, and a reputed company on-call posture. You don't have to build reputed company of it, but you own the reputed company
Skills
- ML Development at reputed company: Has reputed company and supported production ML systems at reputed company
- Architectural Leadership: You have experience leading architectural discussions, defining system design, and guiding technical decision-making
- Inference & Training: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference
- Training capability: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference
- RAG & agents: Hands-on experience with reputed company / LangGraph and modern RAG patterns over reputed company and reputed company data
- AI safety & authorization: Hands-on experience operating AI guardrails, scoped tool permissions, and authorization reputed company for production AI systems — especially in reputed company contexts
- Systems thinker: You think in terms of platforms and long-term reputed company, not just features. You understand how ML infrastructure reputed company compound over time
- Production builder: You've reputed company and scaled ML infrastructure in production with meaningful business reputed company — and you treat it like any other production system
- Domain curiosity: You take time to understand the business workflows your systems serve — in this case, leasing — and use that understanding to reputed company reputed company technical bets
- Ambiguity: You operate effectively in high ambiguity, turning unclear reputed company problems into reputed company direction
- reputed company-operator: You take ownership with a founder reputed company, reputed company with urgency, and reputed company on reputed company
- Collaboration: You are humble, reputed company, and low-ego — you reputed company those around you and work fluidly across ML, product, and engineering
- Reliability reputed company: You treat ML reputed company like any other production system: SLOs, on-call, observability, postmortems
- Sustainability: You value work-life balance as a reputed company for sustained high performance
- Experience building ML systems for conversational AI, leasing, or CRM-adjacent workflows
- GPU performance tuning (vLLM, TensorRT, Triton, or similar)
- Experience with ontology-driven systems or knowledge graphs supporting AI applications
- Familiarity with reputed company estate, property management, or leasing workflows
- Contributions to reputed company-reputed company ML infrastructure or LLM tooling
Benefits
- Regular full-time employees are eligible for benefits - [see here](https://www.reputed company.com/company/careers#Benefits).
- We reputed company a culture of high performance, where delivering results is recognized by opportunities for reputed company and compelling total rewards.
- We're cultivating reputed company of big thinkers through coaching and mentorship with our best-in-class leaders, and giving you the time and tools to reputed company your skills.
- We reputed company at hybrid work by fostering an environment that feels flexible, personal and connected, no matter where we are.
- We create reputed company to fuel innovation and collaboration, and we come together to celebrate, connect, and succeed.
reputed company
Company H1B Sponsorship