Machine Learning Engineer

Cherre is the leader in real estate data and insight. We connect decision makers to accurate property and market information, and help them make faster, smarter decisions. By providing a unique "single source of truth," Cherre empowers customers to evaluate opportunities and trends faster and more accurately, while saving millions of dollars in manual data collection and analytics costs.

 

Cherre is hiring 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!

 

We are remote-first company.

 

Responsibilities

• Work within an agile fullstack scrum team to deploy ML models into production
• Conduct research and develop Machine Learning (ML) and Deep Learning (DL) based models/pipelines for business, scientific, and engineering problems for real estate data analytics platform, including predictive trend modeling, natural language processing (NLP), ranking, real estate estimates, and geo analytics.
• 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
• Productionize ML and DL algorithms/pipeline for connectivity to front end applications and end-user analysis
• Develop and apply new computer technologies, artificial intelligence, and DL-based algorithms to enhance data capabilities.

Requirements

• 36 months experience in Machine Learning or closely related field
• Knowledge of NLP technologies, PostgreSQL, Python, SQL, Airflow, Kubernetes, Docker, and GCP stack
• Masters degree in Computer Science or a closely related discipline; or foreign equivalent

Benefits

• Remote position available. *Must work during U.S. Eastern time business hours*
• Equity
• Range of Healthcare Plans
• Paid Parental Leave
• Educational Credit
• Unlimited Vacation
• Flexible Work Schedule
• $145,000 base salary

 

 

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.