Senior Engineer, Interactive Voice Response, AI/ML

GEICO

Remote

Quick summary

Work type: Remote
Location: Palo Alto, CA
Salary: $100,000–$215,000 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $209k

This role $158k

$81k most similar roles pay here $280k

This role pays less than 86% of similar roles. Most pay $170,995–$246,150 — the shaded band above. At the midpoint, this role pays about $158k versus about $209k for comparable roles.

Based on 240 similar postings.

Employer

About GEICO

GEICO (Government Employees Insurance Company) is one of the largest auto insurers in the United States, offering affordable auto, home, renters, and other personal insurance products. Industry: Insurance

GEICO currently has 112 open roles on FindRole.

Listed pay typically runs $110,000–$230,000 across 112 roles with salary data.

Most-posted roles

View all roles at GEICO

At a glance

TL;DR · Senior Engineer, Interactive Voice Response, AI/ML

Role Posting Log in to save

Join GEICO's Service Engineering team as a Senior Engineer, where you will lead the design and deployment of large-scale distributed AI applications that enhance customer self-service across various communication channels including voice, IVR, and chat. You will build and optimize multi-agent systems to improve automation and decision-making while collaborating with cross-functional teams to develop scalable solutions using Azure tools, Docker, Kubernetes, Python, SQL, and NoSQL databases. Your role involves ensuring system reliability through best practices in architecture, testing, and monitoring, as well as staying current with AI research to implement innovative approaches. Ideal candidates have extensive experience in developing AI/ML models for production environments, expertise in cloud-based distributed systems, and a strong background in software engineering, making this an exciting opportunity to drive significant business impact in the realm of customer service innovation.

Skills

Python Azure Kubernetes Docker TensorFlow PyTorch Java AWS GCP REST CI/CD PowerShell Azure Portal Prometheus Grafana J2EE PostgreSQL NoSQL

What you'll do

Design and deploy large-scale distributed AI applications for customer self-service.
Build and optimize multi-agent systems to enhance automation and customer experience.
Translate business requirements into scalable AI/ML solutions with cross-functional teams.
Ensure system reliability, scalability, and performance through best practices.
Stay updated on AI research and integrate innovative tools into production.

What we're looking for

Hands-on experience with AI/ML frameworks like TensorFlow and PyTorch.
Proven track record of deploying scalable AI models in production environments.
Expertise in building large-scale distributed systems using cloud services (Azure).
Demonstrated ability to apply AI solutions to real-world business problems.
Experience in micro-service architecture, REST APIs, and continuous delivery practices.
Strong background in software engineering with 4+ years in Python or Java frameworks.
Knowledge of developer tooling across the software development life cycle.

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