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About This Role
AutoZone’s store teams are the frontline of WOW! Customer Service, ensuring that customers find the right parts and solutions for their automotive needs. Store employees maintain well\-stocked inventory, assist customers with product selection, and provide expert advice to enhance the shopping experience. They play a vital role in driving sales, maintaining store operations, and fostering a positive, knowledgeable retail environment.
Join our team as a Retail Sales Associate, where you'll play a key role in delivering WOW! Customer Service by exceeding expectations and making a real difference for our customers. Whether you're passionate about automotive parts, teamwork, or sales, this role offers great opportunities for growth. AutoZone offers the perfect chance to build your career in an essential industry serving the motoring public.
- Customer Assistance \& Communication – Engage with customers, provide trustworthy automotive advice, and ensure positive interactions through clear, professional communication.
- Leadership \& Teamwork – Collaborate with managers and teammates to create a motivated, productive store environment. Support team members and demonstrate leadership in daily responsibilities.
- Sales \& Metrics Mindedness – Recommend products, services, and promotions to enhance customer experience, while contributing to sales goals and store performance metrics.
- Inventory Management \& Store Operations – Restock merchandise, maintain organization, and follow proper point of sale procedures, loss prevention policies ensuring proper financial management. Keep store operations running smoothly.
- Process Orientation \& Safety Compliance – Utilize structured processes to complete assigned tasks efficiently. Follow company safety policies and use Personal Protective Equipment (PPE) to maintain a secure work environment.
- Product Knowledge – Stay up to date on automotive parts, tools, and promotions through AutoZone systems.
- Diagnostics Support – Use diagnostic tools to read codes from customer vehicles and recommend solutions.
What We’re Looking For* Minimum Age Requirement: Must be at least 16 years old to apply.
- Physical Requirements: Ability to lift, load and deliver merchandise.
- Flexible Schedule: Flexible schedule availability, including mornings, nights, weekends, and overtime as needed.
You’ll Go The Extra Mile If You Have* Automotive Knowledge: Basic knowledge of automotive parts is preferred.
- Exceptional Communication: Strong people skills and effective communication in both Spanish and English.
- Automotive Retail: Previous experience in automotive retail.
- Certifications: Automotive Service Excellence (ASE) Certification.
Since opening our first store in 1979, AutoZone has grown into a leading retailer and distributor of automotive parts and accessories across the Americas. Our customer\-first mindset and commitment to Going the Extra Mile define who we are, for both our customers and AutoZoners. Working at AutoZone means being part of a team that values dedication, teamwork, and growth. Whether you're helping customers or building your career, we provide tools and support to help you succeed and drive your future.
Benefits at AutoZoneAutoZone offers thoughtful benefits programs with one\-on\-one benefits guidance designed to improve AutoZoners’ physical, mental and financial well\-being.
All AutoZoners (Full\-Time and Part\-Time):* Competitive pay
- Unrivaled company culture
- Medical, dental and vision plans
- Exclusive discounts and perks, including an AutoZone in\-store discount
- 401(k) with company match and Stock Purchase Plan
- AutoZoners Living Well Program for free mental health support
- Opportunities for career growth
Additional Benefits for Full\-Time AutoZoners:* Paid time off
- Life, and short\- and long\-term disability insurance options
- Health Savings and Flexible Spending Accounts with wellness rewards
- Tuition reimbursement
Minimum age requirements may apply. Eligibility and waiting period requirements may apply; benefits for AutoZoners in Puerto Rico, Hawaii, or the U.S. Virgin Islands may differ. Learn more about all that AutoZone has to offer at Careers.AutoZone.com.
We proudly support Veterans, Active\-duty Service Members, Reservists, National Guard and Military Families. Your experience is highly valued, and we encourage you to apply to join our team.
Fair Chance:An applicant’s criminal record is not a disqualification from employment and will be considered individually based on factors such as the relationship between the position sought and the criminal offense, the nature of the offense, any documentation or information demonstrating the rehabilitation of the applicant, the time elapsed since the offense, and any other relevant information. This includes compliance with the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the New York City Fair Chance Act, the Philadelphia Fair Chance Hiring Act, and the U.S. Virgin Islands Fair Chance for Employment Act.
As permitted by state or local law, AutoZone may consider certain offenses to be relevant to positions responsible for conducting or overseeing financial transactions on behalf of AutoZone, driving company vehicles and/or supervision of minors.
Philadelphia Fair Chance poster: https://www.phila.gov/media/20210423160847/Fair\-Chance\-Hiring\-law\-poster.pdf
Online Application:An online application is required. Click the Apply button to complete your application. For step\-by\-step instructions on how to apply visit careers.autozone.com/candidateresources.
AutoZone, and its subsidiary, ALLDATA are equal opportunity employers. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or any other legally protected categories.
Salary Context
This $31K-$33K range is in the lower quartile for AI/ML Engineer roles in our dataset (median: $100K across 15465 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 26,159 AI roles we're tracking, AI/ML Engineer positions make up 91% of the market. At AutoZone, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills Required
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $166,983 based on 13,781 positions with disclosed compensation. Entry-level AI roles across all categories have a median of $76,880. This role's midpoint ($32K) sits 81% below the category median. Disclosed range: $31K to $33K.
Across all AI roles, the market median is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Architect ($292,900). By seniority level: Entry: $76,880; Mid: $131,300; Senior: $227,400; Director: $244,288; VP: $234,620.
AutoZone AI Hiring
AutoZone has 268 open AI roles right now. They're hiring across AI/ML Engineer. Positions span Orem, UT, US, Parkway-South Sacramento, CA, US, Fort Worth, TX, US. Compensation range: $27K - $39K.
Location Context
Across all AI roles, 7% (1,863 positions) offer remote work, while 24,200 require on-site attendance. Top AI hiring metros: Los Angeles (1,695 roles, $178,000 median); New York (1,670 roles, $200,000 median); San Francisco (1,059 roles, $244,000 median).
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 26,159 open positions tracked in our dataset. By seniority: 2,416 entry-level, 16,247 mid-level, 5,153 senior, and 2,343 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (1,863 positions). The remaining 24,200 roles require on-site or hybrid attendance.
The market median for AI roles is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. Highest-paying categories: AI Engineering Manager ($293,500 median, 28 roles); AI Architect ($292,900 median, 108 roles); AI Safety ($274,200 median, 19 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 26,159 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (23,752), AI Software Engineer (598), AI Product Manager (594). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (2,416) are outnumbered by mid-level (16,247) and senior (5,153) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 2,343 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (1,863 positions), with 24,200 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $184,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $309,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $122,200. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Rag (16,749 postings), Aws (8,932 postings), Rust (7,660 postings), Python (3,815 postings), Azure (2,678 postings), Gcp (2,247 postings), Prompt Engineering (1,469 postings), Openai (1,269 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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