Full-Time

Senior Engineer

ML Platform, Performance, Capacity and Efficiency

Confirmed live in the last 24 hours

Geico

Geico

10,001+ employees

Direct-to-consumer auto and home insurance

Consumer Software
Financial Services

Compensation Overview

$80k - $215kAnnually

Senior

No H1B Sponsorship

Bethesda, MD, USA

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Microsoft Azure
Python
Data Science
Tensorflow
Pytorch
Apache Spark
SQL
Apache Kafka
AWS
Hadoop
Development Operations (DevOps)
Databricks
Data Analysis
Google Cloud Platform
Requirements
  • Proficiency in Python programming, with extensive experience in developing machine learning models using frameworks such as PyTorch, TensorFlow or similar.
  • Proven ability to design, implement and deploy large-scale machine learning models in production environments.
  • Experience with Cloud Platforms such as Azure, AWS, or Google Cloud
  • Experience with SQL and Big Data platforms such as Databricks or Apache Spark
  • Experience with DevOps principles and knowledge of CI/CD pipelines. Proficient with Azure DevOps (ADO)
  • Experience with telemetry, alerts, and monitoring
  • Experience with data streaming infrastructure deployment (e.g., Spark Streaming, Kafka, Azure EventHub, or Event Bridge)
  • 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
  • 5+ years of experience in machine learning engineering, with a focus on developing predictive models and analytics for infrastructure management
  • 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
  • Bachelor's degree in computer science, Information Systems, or equivalent education or work experience.
Responsibilities
  • Build product definition and leverage your technical skills to drive towards the right solution
  • Design, build, test and maintain machine learning models to analyze infrastructure utilization data consumed from various sources.
  • Collaborate closely with other Staff and Senior Staff Engineers to ensure seamless integration of machine learning models into the larger platform.
  • Utilize event driven architecture to capture and process large volumes of both structured and unstructured data.
  • Implement practices for model training, validation and deployment ensuring high performance and scalability.
  • Contribute to continuous improvement of our machine learning pipeline, including data preprocessing, feature engineering and model optimization.
  • Solve difficult problems, learn recent technologies, and push the boundaries of what is possible
  • Ability to work independently and in a team environment
  • Mentor other engineers and provide guidance on machine learning best practices.
  • Stay updated with the latest advancements in machine learning and AIU. Particularly in the areas of infrastructure management and incorporate relevant innovations in our platform.

GEICO provides a range of insurance products, with a primary focus on auto insurance. The company sells policies directly to consumers, which allows them to offer lower rates by eliminating intermediaries like brokers. Customers can obtain quotes, manage their policies, and file claims through GEICO's user-friendly website. In addition to auto insurance, GEICO also covers motorcycles, ATVs, RVs, as well as home and renters insurance. What sets GEICO apart from its competitors is its strong online presence and memorable advertising campaigns that enhance brand recognition and customer loyalty. The company's goal is to simplify the insurance process for its customers while providing competitive rates and comprehensive coverage options.

Company Stage

Acquired

Total Funding

N/A

Headquarters

Tulsa, Oklahoma

Founded

1936

Simplify Jobs

Simplify's Take

What believers are saying

  • New operations hub in North Texas expands market reach in commercial insurance.
  • Collaboration with MLB boosts brand visibility through sports marketing.
  • Military Service Awards strengthen brand image and ties with military communities.

What critics are saying

  • Data breaches lead to increased regulatory scrutiny and potential reputational damage.
  • Departure of key marketing personnel may disrupt customer acquisition strategies.
  • Unresolved claims could harm reputation and customer trust.

What makes Geico unique

  • GEICO's direct-to-consumer model offers competitive rates by eliminating intermediaries.
  • Strong online presence allows easy policy management and claims filing for customers.
  • Memorable advertising campaigns enhance brand recognition and customer loyalty.

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