Engineer II, AI/ML Engineering

CarMax

Dallas (TX)

Hybrid

USD 50,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Paid paternity leave

Student loan assistance

Tuition assistance

Disability insurance

Job summary

A leading company is seeking an Engineer II in Artificial Intelligence to leverage Generative AI for innovative customer solutions. The role involves developing software solutions, optimizing AI models, and collaborating with cross-functional teams to enhance the customer experience. The ideal candidate will have a strong background in AI technologies and excellent communication skills.

Qualifications

2+ years of experience in software development, cloud computing, or AI.
Basic knowledge developing and debugging in Python.

Responsibilities

Develop and optimize pipelines for Generative AI models.
Execute testing suites and report defects or performance anomalies.

Skills

Generative AI

Python

Communication

Education

Bachelor’s degree in Computer Science

Tools

Azure AI Search

Job description

Direct message the job poster from CarMax

At CarMax, an Engineer II, Artificial Intelligence is a technologist with domain-specific knowledge in Generative AI, able to create software solutions leveraging deep-learning models that generate content with processes and tools for testing, evaluating, and analyzing the AI system. As a member of the GenAI team, you will work with engineers, managers, and other stakeholders to provide customer solutions that drive CarMax’s iconic omni-channel customer experience.

Ability to work independently to develop, evaluate, and deploy new capabilities for our customers utilizing Generative AI models like large language models (LLMs) with scalable LLM system evaluation that measures performance and accuracy
Comfortable with unstructured data processing to extract content for business value
Drive learnings by experimenting with and learning AI new technologies and implementation frameworks
Participate in requirements gathering discussions that translate into internal discussions for identifying technical implementations
Develop and optimize pipelines, tools, and infrastructure to support and continuously improve service reliability
Execute testing suites and report defects or performance anomalies, define severity and priority for each for resolution

Minimum Qualifications:

Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Experience using large language models (LLMs) and prompt engineering with search retrieval frameworks for chatbot implementations
2+ years of experience in one or more of the following areas: software development, cloud computing, systems engineering, or machine learning/artificial intelligence
Basic Knowledge developing and debugging in Python, and experience with scripting languages such as shell scripts
Ability to positively influence team norms, culture, and technical vision

Preferred Qualifications:

Familiarity with fine-tuning and performance evaluation techniques for pretrained models
Experience with Python package development
Excellent communication skills, adapting to various audience types

Software Engineering Specific Qualifications and Requirements:

Exposure with information retrieval services such as Azure AI Search
Usage of development tools to design prototyping, prompt engineering, testing, and evaluation of LLM-based applications
Experience in DevOps practices, testing frameworks, and CI/CD
In depth knowledge developing and debugging in Python
Experience with scripting languages such as shell scripts

Work Location and Arrangement: This role will be based out of the Richmond, VA Technology Innovation Center or Dallas Technology Hub in Plano, TX and have a Hybrid work arrangement.

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.

Seniority level