This role pays less than
92%
of similar roles. Most pay
$142,687–$214,000
— the shaded band above.
At the midpoint, this role pays about
$111k
versus about
$178k
for comparable roles.
Based on 240 similar postings.
Employer
About Carmax
CarMax is the largest used car retailer in the United States, offering a customer-friendly, no-haggle buying experience with a broad selection of quality used vehicles, financing, and vehicle protection plans. Industry: Automotive Retail
Carmax currently has
29 open roles
on FindRole.
Listed pay typically runs
$102,100–$159,000
across 29 roles with salary data.
Engineer II, AI/ML joins the team to build and operate scalable machine learning and AI capabilities across the organization. This role involves partnering with Data Scientists to productionize models, develop reliable inference services, and manage the operational health of agentic systems through monitoring, alerting, and incident response. The engineer will focus on feature engineering, training, evaluation, and deployment while ensuring high performance regarding latency, throughput, and cost. Key technical requirements include proficiency in Python, Java, or C#, along with experience in PyTorch or TensorFlow. The role requires knowledge of distributed databases like DynamoDB or Cosmos DB, vector databases, and caching systems. Candidates should be familiar with MLOps practices, microservices, Kubernetes, and agentic development workflows to transform experimental research into mission-critical capabilities that power core business functions and customer experiences within a product-oriented environment.
What does a Engineer earn in Texas?
Median $171250 from 38 postings across 11 companies.
Build and maintain production machine learning capabilities including feature engineering, training, evaluation, deployment, and inference.
Design and build agentic AI systems featuring tool use, orchestration, memory, and evaluation harnesses.
Manage the operational health of ML systems through monitoring, alerting, and on-call incident response.
Translate experimental data science work into tested, maintainable, and production-grade code.
Optimize machine learning services for high performance regarding latency, throughput, and cost.
Develop reliable inference services to support mission-critical business and customer experiences.
Implement MLOps practices such as experiment tracking, model registries, and automated retraining pipelines.
What we're looking for
Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
2+ years of professional experience in software, systems, machine learning, or AI engineering for production applications in an enterprise environment.
Proficiency in Python, Java, or C#.
Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
Working knowledge of distributed databases, caching systems, and vector databases for high-throughput, low-latency workloads.
Excellent communication skills to communicate with both technical and non-technical audiences.
Experience on a fast-paced, highly collaborative agile team within a product-oriented organization.
Must be currently authorized to work in the United States on a full-time basis.
LLMs
Python
TensorFlow
PyTorch
Natural Language Processing
Machine Learning
Deep Learning
Streamlit
TypeScript
Java
R
AWS
SageMaker
EKS
Recommendation Systems
Data Integration
UI Design
Algorithms