Senior Machine Learning Engineer

Poway, CA, United States

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. Position Responsibilities As a Senior Engineer, you will: Build product definition and leverage your technical skills to drive towards the right solution Design, build, test and maintain the Machine Learning platform supporting Data Science initiatives Solve difficult problems, learn recent technologies, and push the boundaries of what is possible Work independently and in a team environment Scope, design, and build scalable, resilient distributed systems Engage in cross-functional collaboration throughout the entire software lifecycle Participate in design sessions and code reviews with peers to elevate the quality of engineering across the organization Consistently share best practices and improve processes within and across teams Mentor other engineers Qualifications Experience with end-to-end Machine Learning Engineering lifecycle Experience with Cloud Platforms such as Azure, AWS, or Google Cloud Experience with Machine Learning cloud technologies such as Azure Machine Learning (AML), AWS SageMaker or Spark ML Experience with Big Data platforms such as Databricks or Apache Spark Experience writing Production quality code in Scala, PySpark, Python and/or Java Experience with SQL Experience 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 pipelines Experience with Azure DevOps (ADO) Experience developing ADO tasks, variable groups, and pipelines Experience with telemetry, alerts, and monitoring Experience with Azure Monitor, AppInsights, Dynatrace, Splunk or equivalents Knowledge 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 data Experience working with Hadoop, SQL, No-SQL platforms Experience with various file formats such as AVRO, JSON, and PARQUET Experience with Load Testing and Quality Assurance Experience 4+ years of experience developing machine learning solutions 3+ 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 frameworks Education Bachelor's degree in computer science, Information Systems, or equivalent education or work experience

Annual Salary $66,000.00 - $185,000.00 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 period**

Paid Vacation, Sick and Parental Leave

401(k) Plan

Tuition Reimbursement

Paid 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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