Staff Data Scientist

RentSpree is the nation's leading home rental software. Our award-winning product suite simplifies the entire rental journey—from applications and screening to payments and lease management. Our mission is to bring transparency, efficiency, and trust to agents, landlords, and renters alike.

With over 3 million users, partnerships with 300+ leading real estate companies and MLS platforms, and nine years of consistent growth, RentSpree is at the forefront of proptech innovation. Our award-winning solutions deliver automation and real-time insights that make renting faster, easier, and more secure for our customers.

RentSpree is a proud Forbes' Best Startup Employer and we were also ranked one of BuiltIn Seattle’s Best Places to Work. As one of the fastest-growing property tech startups in the U.S., we’re looking for talented problem-solvers to contribute meaningful impact as we scale. 

Join the Data department at RentSpree as a Staff Data Scientist! You will play a key role in developing, evaluating, and fine-tuning cutting-edge machine learning and large language models (LLMs), collaborating closely with product, analytics, and engineering teams to create impactful AI-powered features and internal tools.

This position offers a unique opportunity to work collaboratively with cross-functional teams located in Thailand and the US, helping transform advanced AI models into scalable, production-ready applications.

If you’re excited to work on challenging projects that leverage rich datasets and LLM technologies—and you’re passionate about applying AI research in high-impact business scenarios—we want you! Take the lead and bring your proactive, builder mindset to RentSpree.

This role is based in Seattle with 2 days per week in-office.

• Strategic AI Alignment: Collaborate with Product, Engineering, and Data leaders to define and refine RentSpree’s ML/LLM strategy, ensuring alignment with business priorities, roadmap milestones, and measurable success criteria.
• AI Use Case Translation: Partner with analytics teams to turn business challenges into well-defined, testable LLM/ML use cases, accelerating time-to-production for AI solutions.
• Mentorship & Skill Uplift: Coach data scientists, analysts, and engineers in LLM concepts, evaluation design, RAG patterns, and applied AI/ML best practices.
• Full AI Lifecycle Ownership: Design, fine-tune, evaluate, and deploy ML/LLM models for both product-facing features and internal AI assistants, with a focus on scalability, safety, and maintainability.
• Agentic AI Infrastructure: Architect and implement workflows for agentic AI systems — including multi-agent coordination, tool integration, memory management, and retrieval-augmented generation (RAG) — enabling autonomous and semi-autonomous AI-powered decisioning.

Our job descriptions evolve with our business needs and priorities. In addition to the description above, your role may include additional tasks, projects and team support as needed.

• Bachelor’s or Master’s degree in computer science, data science, machine learning, or a related quantitative field.
• 6+ years in applied ML, NLP, or AI engineering, with demonstrated experience in shipping production AI/ML features.
• Expert proficiency in Python modern ML/LLM frameworks (PyTorch, Hugging Face, LangChain, LlamaIndex), and strong SQL/data pipeline skills.
• Proven hands-on experience fine-tuning LLMs, building RAG pipelines, and creating agentic AI workflows (e.g., multi-step reasoning, autonomous agents, internal AI copilots).
• Experience defining and running LLM evaluation frameworks and integrating human feedback loops.
• Strong communication skills to bridge technical and non-technical teams, with the ability to influence AI product direction.
• SaaS or proptech domain experience is a plus, especially with real estate transaction, tenant screening, or property management data.

These encompass our guiding principles and startup culture competencies:

• Take full ownership and accountability: Drives projects from idea to execution, with pride, urgency, and a “do what it takes” mentality.
• Collaborate with clarity, candor, and respect: Communicate openly and courageously, offer and receive feedback well, and build trust through transparency and reliable partnership.
• Strive for excellence while staying humble: Driven with a bias for action, hold a high bar, think critically, and continuously look to improve.
• Bring a versatile, proactive mindset: Adapt to evolving needs, anticipate challenges, take initiative, be resourceful, and embrace opportunities to achieve high quality results.
• Innovate and learn fast: Experiment, learn from failure, and seek opportunities to introduce new methods or diverse ways of achieving results.
• Engage in healthy debate and commit as a team: Contribute ideas, challenge constructively, and align quickly for decisive action.

As a fast-growing startup, our culture is built on collaboration, curiosity, and the drive to build something meaningful together. From most comprehensive benefits starting on day one to an environment built on trust, respect, and belonging, we make sure our team feels supported every step of the way. Here’s what we offer:

• Compensation: $180k-$202,5k base salary 
• Equity Options: Share in the value we’re creating—your work makes a real impact.
• Team-First Culture: Join a group of talented, supportive teammates who inspire each other to do their best work and celebrate every win.
• Learning & Development: Ongoing support for your growth through resources, coaching, and career development opportunities.
• Health Coverage: Comprehensive employee + dependent medical, dental, and vision insurance, as well as HSA/FSA options. Plus, enjoy additional health perks like access to Headspace Care+, gym membership discounts, and much more — because your well-being matters, inside and out.
• Plan for your future: Life, disability, and Simple IRA retirement plan with company match to support your future.
• Flexible Vacation Policy: We trust you to take the time you need to rest and recharge.
• Holidays: Enjoy 12 holidays throughout the year, as a part of our commitment to honoring culture, history, and time to recharge. 
• Events: We make time to connect and celebrate through reimbursable weekly team lunches, game nights, events, and more, both in-person and remotely.
• Recognition Programs: Team members can recognize their peers with Sprees, which are redeemable for gift cards and/or donations to an organization of your choice, or nominate a colleague for a S.P.R.E.E. Award to spotlight above-and-beyond contributions, which may be rewarded with a spot bonus. Our Work Anniversary Program also honors employee milestones with personalized tokens of appreciation!
• Business Expense Allowance & Internet Reimbursement: Get the tools and support you need to do your best work.
• Parental Leave & Fertility Support: Inclusive benefits to support you and your family, wherever you are in life.
• Legal & tax benefits: We offer group legal benefits and tax support through RocketLawyer.
• Seattle HQ: If you’ll be working from our Seattle office, you’ll receive a company-sponsored Orca card to cover the cost of public transportation to and from the office!

We’re a team of talented, kind, and supportive people who take ownership, move with urgency, and strive for excellence. If you’re ready to roll up your sleeves and take on exciting challenges, we’d love to hear from you, even if you don’t meet every requirement!

RentSpree is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. RentSpree makes hiring decisions based solely on qualifications, merit, and business needs at the time.