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Senior Machine Learning Engineer

Remote:

Full Remote

Contract:

Full time

Salary:

155 - 220K yearly

Experience:

Mid-level (2-5 years)

Work from:

New York (USA)

Offer summary

Qualifications:

2+ years software experience in object-oriented language, 3+ years deploying ML models in production, Industry-based experience with big data/distributed computing applications, Familiarity with Python, SQL, Airflow, Kubernetes, Docker, GCP.

Key responsabilities:

Develop, deploy ML models into production
Design scalable ML services and pipelines
Collaborate with data engineering for workflows
Enhance data capabilities with ML-based services

Cherre Real Estate Management & Development Scaleup https://www.cherre.com/

51 - 200 Employees

See more Cherre offers

Job description

Cherre is the real estate industry's 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.