Cherre is the real estate industrys leading data management platform, powering more than $3 trillion AUM globally. Our end-to-end platform helps clients connect, transform, analyze, and act on trusted data to increase efficiencies, reduce risks, gain visibility into market trends, and make strategic moves in response to changing market conditions.

We are looking to add a Machine Learning Engineer to our team. This role will be responsible for developing products that provide ML-powered insights to our customers and integrating those applications into the Cherre tech pipeline. Candidates must have an R&D / research background as well as industry-based engineering experience deploying models into production.

The work we do at Cherre touches multiple aspects of ML - the ideal candidate should be familiar with such diverse topics as deep learning, graph algorithms, and named entity resolution. Ability to implement algorithms at scale and experience with distributed computing / big data applications is critical - our knowledge graph has billions of edges!

Responsibilities

Work within an agile fullstack scrum team to deploy ML models into production
Develop new ML-based services that enhance our data capabilities
Design and implement scalable and repeatable ML pipelines
Collaborate with data engineering to design workflows for ingesting data streams required for ML applications

Requirements

2+ years software experience, preferably in an object-oriented language
3+ year experience deploying ML models in a production environment Industry-based experience with big data / distributed computing applications
Familiarity with current NLP technologies
Languages: Python, SQL
Technologies: Airflow, Kubernetes, Docker, GCP stack

Nice to Haves

Masters degree in Computer Science / Engineering discipline
Publications / patents in the field of machine learning
Technologies: Apache Spark

Starting Goals

30 Day
Familiar with the Cherre tech stack
Exposure to the Cherre release process
Understands company and team goals
Assigned a mini-project that they will own
60 Day
Familiar with the existing Cherre ML pipeline
Able to start contributing PRs
Understands the types of data we ingest and common customer use cases
90 Day
Contributing to the ML pipeline on a daily basis
Mini-project is completed

Benefits

Competitive Base Salary
Equity
Range of Healthcare Plans
Paid Parental Leave
Unlimited Vacation
Flexible Work Schedule
Compensation: $155,000-220,000/ year

If this opportunity sounds interesting, apply or reach out to our internal talent team. We are happy to tell you more about Cherre: the technology we work with, the problems we solve, the team we are assembling, and the culture we all contribute to. We are excited you are considering working with us and look forward to hearing from you!

“At the top of the mountain we are all snow leopards.” - Hunter S. Thompson

Cherre is an equal opportunity employer. We pride ourselves on hiring the best people for the job no matter their race, sex, orientation, nationality, religion, disability, or age.