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Principal Machine Learning Engineer

Simplex

Principal Machine Learning Engineer

Austin, TX
Full Time
Paid
  • Responsibilities

    Our client is hiring a Principal Machine Learning Engineer in Austin, TX, or willing to relocate to Austin, TX towards the end of 2021 when they re-open their office. We are looking outside TX, and even outside the United States to find the very best person we can find and are willing to transfer/sponsor a Visa (H1B or other) for the right candidate. 

    Our team of experienced engineers has deep industry experience in search/information retrieval.  We are collaborative while also being self-sufficient enough to turn any idea into a business win.  You will help with everything from data ETLs to modeling to model serving to test reporting. This unique opportunity will expose you to deep insights into the technology and the business.  On a day-to-day basis, expect roughly 20% of your time to be on the serving/inference layer, 20% data science modeling, and the rest will be around data cleansing, ETL, and analytics. 

    MINIMUM REQUIREMENTS 

    • Bachelors Degree or higher degree in Computer Science from a top university. 
    • A clear passion for technology. 
    • 5-10+ years of computer programming work experience with proven, high-value results. 
    • 2+ years of data science, machine learning, or data engineering work experience. 
    • Willing to relocate to Austin, TX by the end of 2021 and work in an office environment.

     

    WHAT WE ARE LOOKING FOR IN A HIGHLY QUALIFIED CANDIDATE: 

    • Big Data processing – Apache Spark is the key to our data pipelines that create our insights. Understanding SQL is a must in this environment.  For maximum performance, we utilize Scala. 
    • Search technologies – our Lucene/Solr inverse index powers billions of our queries every month. 
    • High-performance web services – our microservices scale with Java technologies while providing sub-millisecond response times. 
    • Machine learning – our latest wins have come from ML technologies like gradient boosted trees (XGBoost, MML Spark) and deep learning (TensorFlow, Keras).  Python is the preferred language here. 
    • Most importantly, the highly qualified candidate has the initiative and ability to quickly learn and apply the above.

     

    BENEFITS 

    • Highly competitive salary 
    • Stock Options
    • Company-paid re-location
    • Company-paid gym membership 
    • Comprehensive, company-paid health, vision, and dental insurance premiums for you and your dependents 
    • 401(k) retirement plan with 3% employer contribution 
    • Paid company holidays & Unlimited PTO 
    • Awesome company events

     

    #ZR