Machine Learning Engineer

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Fintech, Real EstateIndustries

Requirements

Candidates should have experience in machine learning tooling and a strong understanding of various algorithms, including logistic regression and neural networks. A proven ability to integrate data from multiple sources into cohesive systems for recommendations and search is essential. Technical brilliance and a reputation among peers as a highly skilled engineer are also required.

Responsibilities

The Machine Learning Engineer will design and develop the data model to support AI features in the digital app. They will leverage first and third-party real estate and business data to build analyses and models that assist small business owners in making informed real estate decisions. Additionally, they will build a recommendation engine to optimize space selection and transaction processes.

Skills

Machine Learning

Data Modeling

Data Analysis

Logistic Regression

Neural Networks

Real Estate

Data Infrastructure

Recommendation Systems

Withco

Lease-to-own model for commercial real estate

About Withco

With.co operates in the commercial real estate market, focusing on helping small business owners achieve property ownership. The company offers a lease-to-own model, allowing businesses to lease their commercial space with the option to purchase it later. This approach enables small business owners, who may lack the upfront capital for a full purchase, to secure their locations and invest in their future. With.co generates revenue through lease agreements and property sales, creating a dual income stream that supports financial stability and growth. The company differentiates itself by simplifying the complex process of commercial real estate transactions, guiding clients through each step with a team of experts in real estate and finance. The goal of With.co is to make property ownership accessible for small businesses, fostering economic growth and stability in local communities.

New York City, New YorkHeadquarters

2019Year Founded

$60.4MTotal Funding

EARLY_VCCompany Stage

Social Impact, Real EstateIndustries

11-50Employees