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    Senior Machine Learning Engineer - New York, United States - Cherre

    Cherre
    Cherre New York, United States

    3 weeks ago

    Default job background
    Description
    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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