Principal Machine Learning Engineer, Confluence Search - San Francisco, United States - Atlassian

    Atlassian
    Atlassian San Francisco, United States

    1 month ago

    Default job background
    Full time
    Description

    JOB DUTIES: BUILD, TEST AND IMPROVE MACHINE LEARNING (ML) MODELS FROM IDEA THROUGH THE ROLL-OUT APPLYING EXPERTISE IN NLP, DEEP LEARNING, STATISTICS, ETC. WORK CLOSELY WITH THE CONFLUENCE SEARCH LEADERSHIP IN ENGINEERING, PRODUCT, AND DESIGN, IN SHAPING THE TECHNICAL ROADMAP OF IMPROVING SEARCH RELEVANCE APPLYING ML TECHNOLOGIES LIKE LANGUAGE MODELS, NLP, NLU, NER MODELS, BERT ETC. DESIGN AND DEVELOP ML PIPELINES AND MODELS, WORK WITH MFLOW AND BUILD PIPELINES IN DATABRICKS. WORK ON ELASTICSEARCH AND PUBLIC CLOUD SYSTEM, SUCH AS AWS, AND MACHINE LEARNING OFFERINGS. MENTOR AND INFLUENCE THE TEAM OF SEARCH ENGINEERS AT VARIOUS SENIORITY LEVELS ALL THE WAY FROM NEW COLLEGE GRADS TO SENIOR ENGINEERS.
    WORK WITH LARGE DATA SETS FOR FINETUNING AND VALIDATION. DEMONSTRATE PROFICIENCY IN PYTHON AND WITH INDUSTRY-STANDARD DATA SCIENCE FRAMEWORKS OR LIBRARIES, SUCH AS SPARK, PYTORCH, PYSPARK, SCIKIT, NUMPY, PANDAS, ETC. TO PERFORM QUALITY DATA ANALYSIS AND MODEL BUILDING, DELIVERING CUSTOMER IMPACT. COMMUNICATE EFFECTIVELY IN WRITTEN AND VERBAL FORMS COMPLEX TECHNICAL ISSUES TO A LARGE RANGE OF TECHNICAL AND NON-TECHNICAL AUDIENCES, SUCH AS MANAGEMENTS, PEERS, CLIENTS.
    MINIMUM REQUIREMENTS: MASTER'S DEGREE IN STATISTICS, APPLIED MATHEMATICS, DATA SCIENCE OR A RELATED FIELD PLUS SIX (6) YEARS OF PROGRESSIVE EXPERIENCE IN THE DATA SCIENCE DOMAIN WORKING WITH LARGE DATA SETS FOR FINE-TUNING AND VALIDATION, INCLUDING EXPERIENCE WITH PYTHON AND ML FRAMEWORKS AND LIBRARIES LIKE PYTORCH, PYSPARK, SCIKIT, NUMPY, PANDAS; EXPERIENCE DESIGNING AND DEVELOPING MACHINE LEARNING (ML) PIPELINES AND MODELS, WORKING WITH MLFLOW AND BUILDING PIPELINES IN DATABRICKS, APPLYING ML TECHNOLOGIES LIKE LANGUAGE MODELS, NLP, NLU, NER MODELS, BERT ETC., WORKING ON ELASTICSEARCH, AND EXPERIENCE WITH AT LEAST ONE PUBLIC CLOUD SYSTEM, SUCH AS AWS, GAE, AZURE, AND MACHINE LEARNING OFFERINGS.
    SPECIAL REQUIREMENTS: MUST PASS TECHNICAL INTERVIEW.
    OFFERED WAGE: $229,300 - $305,700 PER YEAR