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Senior Machine Learning Engineer
Senior Machine Learning Engineer-September 2024
Flexible / Remote
Sep 22, 2024
ABOUT GEICO
With a range of policy options, GEICO provides affordable insurance for millions of customers across the United States.
10,000+ employees
Insurance, Client Services
VIEW COMPANY PROFILE >>
About Senior Machine Learning Engineer

  GEICO is seeking an experienced Senior Engineer with a passion for building high performance, low-latency platforms, and applications. You will help drive our insurance business transformation as we redefine experiences for our customers.

  Our Senior Engineer is a key member of the engineering staff working across the organization to provide a friction-less experience to our customers and maintain the highest standards of protection and availability. Our team thrives and succeeds in delivering high quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all points in between.

  As a Senior Engineer, you will:Build product definition and leverage your technical skills to drive towards the right solutionDesign, build, test and maintain the Machine Learning platform supporting Data Science initiativesSolve difficult problems, learn recent technologies, and push the boundaries of what is possibleWork independently and in a team environmentScope, design, and build scalable, resilient distributed systemsEngage in cross-functional collaboration throughout the entire software lifecycleParticipate in design sessions and code reviews with peers to elevate the quality of engineering across the organizationConsistently share best practices and improve processes within and across teamsMentor other engineersQualificationsExperience with end-to-end Machine Learning Engineering lifecycleExperience with Cloud Platforms such as Azure, AWS, or Google CloudExperience with Machine Learning cloud technologies such as Azure Machine Learning (AML), AWS SageMaker or Spark MLExperience with Big Data platforms such as Databricks or Apache SparkExperience writing Production quality code in Scala, PySpark, Python and/or JavaExperience with SQLExperience with the Azure Ecosystem (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning (AML), Azure Cognitive Services, Azure Storage)Experience with CI/CD pipelinesExperience with Azure DevOps (ADO)Experience developing ADO tasks, variable groups, and pipelinesExperience with telemetry, alerts, and monitoringExperience with Azure Monitor, AppInsights, Dynatrace, Splunk or equivalentsKnowledge of Kubernetes or Azure Kubernetes Service (AKS)Experience with data streaming infrastructure deployment (e.g., Spark Streaming, Kafka, Azure EventHub, or EventBridge)Experience with performance tuning with applications processing large amounts of dataExperience working with Hadoop, SQL, No-SQL platformsExperience with various file formats such as AVRO, JSON, and PARQUETExperience with Load Testing and Quality AssuranceExperience4+ years of experience developing machine learning solutions3+ years of experience with architecture and design 3+ years of experience with AWS, GCP, Azure, or another cloud service 2+ years of experience in open-source frameworksEducationBachelor's degree in computer science, Information Systems, or equivalent education or work experienceAnnual Salary

  $66,000.00 - $204,500.00

  The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.

  At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

  Benefits:

  As an Associate, you'll enjoy our Total Rewards Program * to help secure your financial future and preserve your health and well-being, including:Premier Medical, Dental and Vision Insurance with no waiting periodPaid Vacation, Sick and Parental Leave401(k) PlanTuition ReimbursementPaid Training and Licensures*Benefits may be different by location. Benefit eligibility requirements vary and may include length of service.

  Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.

  The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

  GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

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