Machine Learning Engineer

Job Description

Machine Learning Engineer

New York | Hybrid (4 days in office)

$200k - $225k base + 20% bonus

A well-funded real estate business is investing heavily in AI and data to transform how strategic decisions are made across its portfolio. They're hiring a Machine Learning Engineer to join a small, highly visible team building predictive analytics and AI-powered products used by investment and operational stakeholders.

This is an opportunity to work on business-critical systems where data and AI directly influence commercial decision-making.

What You'll Do:

• Build scalable data platforms, pipelines and ML infrastructure
• Develop and deploy production AI solutions, including LLMs, RAG systems and AI agents
• Partner closely with business stakeholders to solve complex problems
• Drive architecture decisions and technical strategy
• Own projects end-to-end from design through production

What We're Looking For:

• Experience in ML Engineering & Applied AI
• Production experience building and deploying AI/ML systems
• Strong knowledge of modern data technologies such as Databricks, Spark, Kafka, Airflow and Delta Lake
• Excellent software engineering and distributed systems fundamentals
• Comfortable operating in fast-moving, high-ownership environments

Ideal Backgrounds:

• FinTech, investment management, asset management, hedge funds or other data-driven industries
• Startup or scale-up environments
• Data platform, infrastructure or applied AI teams

Why Join?

• Greenfield AI initiatives
• Small team with significant ownership
• Direct exposure to senior decision-makers
• Opportunity to shape products, architecture and strategy
• Fast-moving environment where ideas quickly reach production

Interested in building AI products that drive real-world business decisions? Apply here!