Principal Machine Learning Scientists

Working at AtlassianAtlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.JOB DUTIES: COLLABORATE WITH THE CENTRAL AI LEADERSHIP IN ENGINEERING, PRODUCT, DESIGN, AND ANALYTICS, TO SHAPE THE TECHNICAL ROADMAP OF IMPROVING SEARCH RELEVANCE FOR ATLASSIAN'S SOFTWARE PRODUCTS AND SERVICES. LEAD AND MANAGE THE CORE RELEVANCE ASPECT OF AI CONVERSATIONAL FEATURES FOR ATLASSIAN INTELLIGENCE. RESPONSIBLE FOR DEVELOPMENT AND DEPLOYMENT OF MACHINE LEARNING MODELS AND ALGORITHMS TO SERVE HIGHLY RELEVANT RESULTS FOR ATLASSIAN'S SEARCH AND AI EXPERIENCES. DESIGN THE MODEL TRAINING AND EVALUATION PIPELINES AND MODEL-SERVING AND MANAGEMENT ARCHITECTURES AND CONDUCT MODEL EVALUATIONS AND EXPERIMENTATIONS. COORDINATE TIMELINES AND COMMUNICATION ACROSS MULTIPLE TEAMS SUCH AS ML PLATFORM, INFRASTRUCTURE, AND PRIVACY, AND OVERSEE DAY-TO-DAY OPERATIONS OF RELEVANCE PROJECTS. ACT AS A SUBJECT MATTER EXPERT AND ROLE MODEL AND INFLUENCE AND PROVIDE GUIDANCE TO TEAM OF MACHINE LEARNING ENGINEERS ACROSS VARIOUS SENIORITY LEVELS.MINIMUM EDUCATION: BACHELOR'S DEGREE IN COMPUTER SCIENCE, INDUSTRIAL/SYSTEMS DESIGN ENGINEERING,OPERATIONS RESEARCH, STATISTICS OR A RELATED FIELD OF STUDY.MINIMUM EXPERIENCE: SIX (6) YEARS OF INDUSTRY EXPERIENCE IN THE MACHINE LEARNING DOMAIN, INCLUDING SIX YEARS OF EXPERIENCE IN PYTHON 3.X OR JAVA WITH THE ABILITY TO WRITE PERFORMANT PRODUCTION-QUALITY CODE; SQL AND KNOWLEDGE OF SPARK AND CLOUD DATA ENVIRONMENTS (E.G. AWS, DATABRICKS) INCLUDING SIX (6) YEARS OF EXPERIENCE BUILDING, EVALUATING, AND SCALING MACHINE LEARNING MODELS IN BUSINESS APPLICATIONS USING ML FRAMEWORKS AND LIBRARIES SUCH AS PYTORCH, PYSPARK, SCIKIT, NUMPY, PANDAS, R, SAS, AND PROCESSING LARGE AMOUNTS OF DATA USING HADOOP/HIVE, SPLUNK, MPP DATABASES, ETC. INCLUDING SIX (6) YEARS OF EXPERIENCE IN THE APPLICATION OF NLP TECHNIQUES AND FINE-TUNING TRANSFORMER MODELS FOR LANGUAGE TASKS AND WORKING WITH SEARCH ENGINE PLATFORM LIKE ELASTICSEARCH OR SOLR. INCLUDING SIX (6) YEARS OF EXPERIENCE COMMUNICATING AND EXPLAINING MACHINE LEARNING/DATA SCIENCE CONCEPTS TO DIVERSE AUDIENCES INCLUDING DESIGNING, RUNNING, AND ANALYZING EXPERIMENTS AND MONITORING METRICS USING TOOLS SUCH AS TABLEAU, SAP, ETC.ALTERNATE EDUCATION: MASTER'S DEGREE IN COMPUTER SCIENCE, INDUSTRIAL/SYSTEMS DESIGN ENGINEERING, OPERATIONS RESEARCH, STATISTICS OR A RELATED FIELD OF STUDY.ALTERNATE EXPERIENCE: FOUR (4) YEARS OF INDUSTRY EXPERIENCE IN THE MACHINE LEARNING DOMAIN, INCLUDING FOUR (4) YEARS OF EXPERIENCE IN PYTHON 3.X OR JAVA WITH THE ABILITY TO WRITE PERFORMANT PRODUCTION-QUALITY CODE; SQL AND KNOWLEDGE OF SPARK AND CLOUD DATA ENVIRONMENTS (E.G. AWS, DATABRICKS) INCLUDING FOUR (4) YEARS OF EXPERIENCE BUILDING, EVALUATING, AND SCALING MACHINE LEARNING MODELS IN BUSINESS APPLICATIONS USING ML FRAMEWORKS AND LIBRARIES SUCH AS PYTORCH, PYSPARK, SCIKIT, NUMPY, PANDAS, R, SAS, AND PROCESSING LARGE AMOUNTS OF DATA USING HADOOP/HIVE, SPLUNK, MPP DATABASES, ETC. INCLUDING FOUR (4) YEARS OF EXPERIENCE IN THE APPLICATION OF NLP TECHNIQUES AND FINE-TUNING TRANSFORMER MODELS FOR LANGUAGE TASKS AND WORKING WITH SEARCH ENGINE PLATFORM LIKE ELASTICSEARCH OR SOLR. INCLUDING FOUR (4) YEARS OF EXPERIENCE COMMUNICATING AND EXPLAINING MACHINE LEARNING/DATA SCIENCE CONCEPTS TO DIVERSE AUDIENCES INCLUDING DESIGNING, RUNNING, AND ANALYZING EXPERIMENTS AND MONITORING METRICS USING TOOLS SUCH AS TABLEAU, SAP, ETC.SPECIAL REQUIREMENTS: MUST PASS TECHNICAL INTERVIEW.OFFERED WAGE: $229,200.00 - $305,600.00 PER YEAROur perks & benefitsAtlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.About AtlassianAt Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.To learn more about our culture and hiring process, visit go.atlassian.com/crh .