Cradlepoint

  • Senior Software Developer, Machine Learning

    Job Locations US-CA
    Posted Date 2 months ago(4/17/2019 4:47 PM)
    Job ID
    2019-1410
    # of Openings
    1
    Category
    Engineering
  • Overview

    Come and join a fun group of engineers in sunny Los Gatos, CA working on exciting AI and ML services deployed on Cradlepoint’s state-of-the-art cloud services offerings!

    Responsibilities

    You are a self-driven, innovative problem solver who loves data science challenges and have a bias towards action. You can’t wait to come on board and:

    • Analyze, design and implement ML-based solutions as PoCs and then field deployments and prove results to deliver value to our SaaS portfolio
    • Work with the Product team as a technical advisor, analyze and review solution specifications in early stages before committing on a project
    • Build re-usable, extensible and flexible pipelines that can be re-purposed for many different solutions

    Qualifications

    What we are looking for as an ideal background is:

    • Bachelors + 6 - 8 years OR Masters + 4 - 6 years’ experience, OR Ph.D. + 1 - 2 years’ experience in ML and SW
    • 4-6 years of relevant work experience in software development and machine learning
    • Experience with agile software development in Python, C and C++
    • Experience building and deploying machine learning models for time series analysis, forecasting etc.
    • Experience with building and tuning ML pipelines
    • Infrastructure systems experience with ML pipelines like data ingestion, cleaning and enrichment using different data stores (S3, Redshift, Snowflake), using Jupiter notebooks, AWS SageMaker and another ML frame works like TensorFlow or PyTorch etc.
    • Experience working in cloud-native enterprises is also a plus
    • Excellent understanding of current ML cloud APIs and technologies and ability to build solutions as cloud hosted micro services is a plus
    • Knowledge of container technology (e.g. Docker), AWS services like Firehose, Lambdas and cluster management platforms like Kubernetes is a plus
    • A solid understanding of Linux networking and wireless communications systems (LTE, 5G) background is the cherry on top!
    • We are positioning ourselves to differentiate our services in the Network SW and 5G offerings in line with industry expectations for a pre-IPO company

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