Senior Machine Learning Engineer

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

Our Senior Engineer is a critical member of the engineering team, working across the organization to provide a seamless experience to our customers and uphold the highest standards of protection and availability. Our team thrives in providing high-quality technology products and services in a rapidly growing environment where priorities shift swiftly. The ideal candidate possesses extensive 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:

• Develop product definitions and utilize your technical skills to drive towards the appropriate solution
• Design, build, test, and maintain the Machine Learning platform that supports Data Science initiatives
• Solve complex problems, learn recent technologies, and push the boundaries of what is possible
• Work independently and in a team setting
• 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 engineering quality across the organization
• Consistently share best practices and improve processes within and across teams
• Mentor other engineers

Qualifications

• Experience with the full 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 in 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 in 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 the deployment of data streaming infrastructure (e.g., Spark Streaming, Kafka, Azure EventHub, or EventBridge)
• Experience in performance tuning with applications that process large amounts of data
• Experience in 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 in developing machine learning solutions
• 3+ years of experience in 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

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, and 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 vary by location. Benefit eligibility requirements 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 on the Company. This applies to all applicants and associates. GEICO also provides a work environment where each associate can be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment and 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.