Cherre

Senior Machine Learning Engineer

Job 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

    • Apply Now
    Job Summary

    Valgenesis

    Solution Architect, AI/ML Engineering Consultant

    Location: USA (Remote/Hybrid), India (Chennai, Hyderabad, Bengaluru)Department: Engineering Type: Contract, Part-Time, Full-TimeAbout ValGenesis ValGenesis is a leading d;
    • USA Only
    • 26 days ago

    Hugging Face

    Machine Learning Engineer Internship, WebML - US Remote

    At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organization;
    • USA Only
    • one month ago

    Rackspace

    Principal MLOPs Engineer

    About the Role:We are looking for a seasoned Principal ML OPS Engineer to architect, build, and optimize ML inference platform. The role demands an individual with signif;
    • USA Only
    • 10 days ago

    Smithrx

    Principal Machine Learning Engineer

    Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company.  Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (P;
    • Anywhere (100% Remote) Only
    • 23 days ago