Cherre is hiring a

Senior Machine Learning Engineer

New York, United States
Full-Time
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


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