- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Sr. Engineer, AI & ML.
Urgent! Sr. Engineer, AI & ML Job Opening In Richmond – Now Hiring CarMax
8901 - Corp Office West Crk - 12800 Tuckahoe Creek Parkway, Richmond, Virginia, 23238CarMax, the way your career should be!
About this job
At CarMax, a Senior Engineer, AI & Machine Learning is a technologist with domain-specific expertise in personalization, recommendations, and semantic search - capable of designing and deploying intelligent systems that tailor the customer experience.
As a member of the Personalization team, you will have a direct impact on the way customers discover and engage with CarMax's inventory by building machine learning solutions that power real-time recommendations, user intent understanding, and search relevance across our omni-channel platforms.
Essential Responsibilities:
Develop, evaluate, and deploy advanced capabilities in semantic search and recommendation systems, utilizing state-of-the-art machine learning models and information retrieval techniques
Articulate potential challenges of building scalable search and recommendation solutions to engineering teams and leadership, and offer creative, technically sound solutions
Build and maintain robust monitoring and evaluation pipelines to validate and continuously optimize the performance of search and recommendation engines
Assist in the growth of other engineers by sharing technical expertise, best practices, and emerging industry standards for search, ranking, and personalized recommendation systems
Ensure high quality standards and clean code practices by performing thorough peer reviews of code pull requests
Minimum Qualifications:
Bachelor’s degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience
Advanced experience building machine learning-powered search or recommendation systems, including the use of vector search, semantic retrieval, and ranking models
5+ year experience of software or application development
4+ years of experience in one or more of the following areas: machine learning/artificial intelligence, information retrieval, or systems engineering
Excellent communication skills, able to adapt messaging to technical and non-technical audiences
Ability to positively influence team norms, culture, and technical vision
Preferred Qualifications:
Master’s degree in computer science, Computer Engineering, or a related field
Experience designing and deploying machine learning models for personalized recommendations, ranking algorithms, or semantic search
Familiarity with continuous evaluation frameworks and online/offline A/B testing for search and recommendation systems
Software Engineering Specific Qualifications and Requirements:
Experience developing search and recommendation applications using cloud services (e.g., Azure AI Search, AWS Kendra, or equivalent)
Deep understanding of vector databases (e.g., Milvus, Azure Search Vector Index) and semantic retrieval frameworks
Experience with development tools and workflows for prototyping, evaluation, and deployment of information retrieval systems
Strong background in DevOps practices, testing frameworks, and CI/CD
Familiarity with retrieval-augmented generation (RAG) architectures and integrating recommendation engines with LLMs
Strong expertise in API development and management, including security, versioning, and observability best practices
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.
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.
About CarMax
CarMax disrupted the auto industry by delivering the honest, transparent, and high-integrity experience customers want and deserve.
This innovative thinking around the way cars are bought and sold has helped us become the nation’s largest retailer of used cars, with over 200 locations nationwide.
Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences.
Along the way, we help every associate grow their career and achieve their best, at work and in their community.
We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For®.
Our Commitment to Diversity and Inclusion:
CarMax is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment.
CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.
Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Sr Engineer Potential: Insight & Career Growth Guide
Real-time Sr Engineer Jobs Trends in Richmond, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Sr Engineer in Richmond, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 212216 jobs in United States and 1615 jobs in Richmond. This comprehensive analysis highlights market share and opportunities for professionals in Sr Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! CarMax is currently hiring and seeking a Sr. Engineer, AI & ML to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Sr. Engineer, AI & ML Jobs Richmond.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at CarMax adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Sr. Engineer, AI & ML Jobs United States varies, but the pay scale is rated "Standard" in Richmond. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Sr. Engineer, AI & ML typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Sr. Engineer, AI & ML, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Sr. Engineer, AI & ML interview at CarMax, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the CarMax's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Sr. Engineer, AI & ML is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!