Location: Manhattan, NY
Type: Full-time (Onsite – 5 days per week)
Department: Applied AI Research – Forty5Park
About Forty5Park
At Forty5Park, we’re building the next generation of AI systems for real estate — leveraging data science, intelligent automation, and advanced machine learning to uncover new insights and drive smarter decisions across the industry.
Our team of scientists, engineers, and analysts approaches real estate through the lens of quantitative research — blending rigorous experimentation with scalable technology. We believe in using data-driven methods, generative AI, and mathematical modeling to transform how the built environment is understood and optimized.
About the Role
We’re seeking a Machine Learning Researcher with a strong background in forecasting, quantitative modeling, and statistical learning to join our Applied AI team. In this role, you’ll apply a scientific, hypothesis-driven approach to build models that forecast market trends, asset valuations, and other key real estate dynamics.
You’ll work at the intersection of machine learning, econometrics, and applied statistics, exploring innovative modeling techniques — from Bayesian inference and Markov processes to deep learning architectures for time-series forecasting.
As part of the AI research function, you’ll collaborate with data engineering, platform engineering, and domain experts to transform novel research ideas into production-ready models that power real-world decision systems across Forty5Park.
Key Responsibilities
Design, develop, and test forecasting models for property valuations, price trends, market risk, and other quantitative real estate metrics.Apply machine learning, Bayesian inference, and Markovian modeling to large-scale, multidimensional datasets.Formulate hypotheses, design experiments, and analyze results using rigorous statistical methods.Partner with engineers to prototype, validate, and deploy predictive models into production environments.Contribute to the research culture through reading groups, internal seminars, and collaboration on emerging methodologies.Stay current with advances in time-series forecasting, causal modeling, and AI research through conferences and academic engagement.Document findings and communicate insights to both technical and business stakeholders with clarity and precision.Required Qualifications
Advanced degree (Master’s or PhD) in a quantitative field such as Statistics, Mathematics, Computer Science, Physics, or Engineering.Exceptional candidates with strong applied research experience will also be considered.Deep understanding of machine learning algorithms, statistical inference, and forecasting techniques.Demonstrated experience with real-world datasets, preferably in econometrics, geospatial analysis, or financial modeling.Proficiency in Python (preferred) or similar languages (C++, Java, R).Strong background in probabilistic modeling, including Bayesian methods, Markov processes, or Monte Carlo simulations.Proven ability to perform independent research, design experiments, and translate results into actionable solutions.Preferred Skills & Experience
Familiarity with deep learning frameworks (PyTorch, TensorFlow) and modern forecasting architectures (Transformers, Temporal Fusion Networks, etc.).Knowledge of spatiotemporal data modeling, graph-based learning, or causal inference techniques.Experience publishing or presenting at academic conferences in ML, AI, or applied statistics.Understanding of real estate data systems, market analytics, or investment modeling is a plus.Perks & Benefits
🏖 Unlimited PTO – maintain flexibility and work-life balance.🐶 Dog-friendly Manhattan office – a collaborative, open workspace.☕ Fully stocked snacks and beverages to keep you fueled throughout the day.💡 Continuous learning support, including conference sponsorships and academic collaboration opportunities.🌆 Work with industry-leading AI talent on high-impact problems shaping the future of real estate.How to Apply
To apply, please complete our Applicant Google Form — you can upload your resume, portfolio, and any relevant project links or publications directly through the form.
If you encounter issues with the form, please email your application materials to careers@forty5park.com with the subject line “Machine Learning Researcher”
