below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$142,767–$217,750.
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
35 open roles
on FindRole.
Listed pay typically runs
$109,300–$169,500
across 16 roles with salary data.
The Engineer II, AI/ML joins the ML & AI Engineering team to build and operate scalable machine learning capabilities across the organization. This role involves partnering with Data Scientists to productionize models, developing reliable inference services, and designing agentic AI systems featuring tool use, orchestration, and memory. Key responsibilities include managing feature engineering, training, evaluation, and deployment while ensuring operational health through monitoring for data drift and prediction quality. The candidate must utilize programming languages like Python, Java, or C# alongside frameworks such as PyTorch or TensorFlow. Technical requirements include experience with distributed databases like DynamoDB, vector databases, and MLOps tools like MLflow or SageMaker. The work focuses on transforming experimental research into maintainable, production-grade code to support high-visibility customer experiences.
What does a Engineer earn in Texas?
Median $187260 from 34 postings across 17 companies.
Build and maintain production ML capabilities for feature engineering, training, evaluation, deployment, and inference.
Design and build agentic AI systems including tool use, orchestration, memory, and evaluation harnesses.
Monitor and alert on model performance, data drift, and prediction quality in production systems.
Provide end-to-end on-call incident response and implement fixes to prevent repeat failures.
Translate experimental data science work into tested, maintainable, and production-grade code.
Develop high-performing AI solutions with a focus on latency, throughput, and cost efficiency.
Deploy and support production applications using distributed databases, caching systems, and vector databases.
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, including building and supporting production applications.
Proficiency in Python, Java, or C# and hands-on experience with PyTorch or TensorFlow.
Working knowledge of distributed databases, caching systems, and vector databases for high-throughput, low-latency production workloads.
Experience on a fast-paced, highly collaborative agile team within a product-oriented organization.
Excellent communication skills with the ability to adapt messaging to technical and non-technical audiences.
Authorization to work in the United States on a full-time basis.
Signal Processing
Python
MATLAB
C/C++
Machine Learning
AI
Data Analysis
Numerical Modeling
Statistical Analysis
Embedded Systems
Algorithm Development
FDA
ISO 13485
IEC 62304
Prototyping
Verification
Validation