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About This Role
Job Description
This position is the primary provider of Member Services within a Branch. Service members' needs by providing DMV and Notary services. Supports the Branch at reception with member check in and distribution of maps and tour books. Additional duties include supporting other branch functions in travel including hotel and car reservations as well as domestic hotel packages. Position is responsible for servicing the needs of the member, maintaining service quality levels and adding value through MRM to cross sell and offer other services. Required to maintain high levels of accuracy and achieve individual cross sell goals as assigned. This role may also include select administrative functions for the branch.
Job Description
We are looking for someone who will thrive in a sales and service environment. We’ll provide the training you need on an array of AAA products and services to interface with members with confidence.
This is an exciting entry level position in our branch network and ideal for candidates interested working in a teamwork environment interfacing with AAA members.
Provide DMV registration services to members. Maintain current knowledge of DMV regulations. Complete all transactions according to DMV and Club policy and procedures.
Support the Branch at reception with member check in and provide maps, tour books and other travel related materials. Identify cross\-sell opportunities based on members’ product needs and service. Enhance member relationship by diversifying use of products and services, including automotive, financial products and travel resale materials. Provide leads to insurance, life, travel and other departments as appropriate. Meet cross sell goals.
Notary Public – Process Notary transactions for members according to National Notary Association and Club procedures. Maintain knowledge and Notary commission.
Prepare TripTiks, IDPs, process passport photos and routings for members.
Book car, hotel and domestic hotel packages. Sell Mexico insurance.
Perform administrative functions for the branch, including but not limited to: Balance cash drawers, post ledgers, assist in resolving overages/shortages, file receipts, submit documents, when necessary, make deposits, retain documents for auditing in the manner required, and process FIRM.
Process payments for memberships/insurance policies and offer automatic renewal. Offer and process changes to membership files and upgrade basic memberships to memberships with higher value (AAA\+ or RV or Premier etc.) as appropriate. Handle ERS complaints, provide tip packs, and balance / reconcile cash drawers.
Support corporate initiatives to improve membership retention such as collecting valid email addresses, acknowledging first year members and supporting AAA Auto Pay and Identity Theft Monitoring.
Processes Travel, Automotive and Cashiering transactions efficiently and quickly.
Must accurately and independently perform a variety of DMV functions. Requires advanced knowledge of DMV regulations as well as club member relations policy to independently resolve complex issues. Since some DMV activities cannot be performed at the Branch and need to be referred directly to the DMV, incumbents must recognize the difference between issues that may be solved at employee’s level, and those which require direct DMV or management attention.
Must accurately identify if proper documentation is provided by member to ensure that all policies and procedures are followed for proper notarization.
Decisions are generally limited to how to best service the member. The position analyzes member requests and determines the best service recommendations/actions.
Our branch hours of operation are Monday through Friday 9am – 5pm and Saturday 9am – 2pm. We are closed on Sundays and most holidays.
Qualifications
- Experience in retail sales, banking or similar customer service/sales environment
- Proven ability to exceed assigned sales or service quality goals
- Ability to work overtime including Saturdays
- Experience with Microsoft Office
- Ability to travel locally when necessary
- A high school diploma or GED
- Successful completion of background check and drug screening
Notary Public \- National Notary Association within 1 Year Required
The starting pay range for this position is $22\.00\-$23\.00 per hour. Additionally, you will be eligible to participate in our incentive program based upon your team and individual performance.
Remarkable benefits:
- Health coverage for medical, dental, vision
- 401(K) saving plans with company match AND Pension
- Tuition assistance
- Floating holidays and PTO for community volunteer programs
- Paid parental leave
- Wellness programs
- Employee discounts (membership, insurance,
travel, entertainment, services and more!)
Auto Club Enterprises is the largest club within the national AAA federation. We have nearly 17,000 employees in 24 states helping more than 18 million members. The strength of our organization is our employees. Bringing together and supporting different cultures, backgrounds, personalities, and strengths creates a team capable of delivering legendary, lifetime service to our members. When we embrace our diversity – we win. All of Us! With our national brand recognition, long\-standing reputation since 1900, and constantly growing membership, we are seeking career\-minded, service\-driven professionals to join our team.
“Through dedicated employees we proudly deliver legendary service and beneficial products that provide members peace of mind and value.”
AAA is an Equal Opportunity Employer
Our organization participates in E\-Verify
The Automobile Club of Southern California will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance (FCIHO), the Unincorporated Los Angeles County (ULAC) regulation, and the California Fair Chance Act (CFCA).
Salary Context
This $45K-$47K 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 Auto Club of Southern Calif, 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. Mid-level AI roles across all categories have a median of $131,300. This role's midpoint ($46K) sits 72% below the category median. Disclosed range: $45K to $47K.
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.
Auto Club of Southern Calif AI Hiring
Auto Club of Southern Calif has 6 open AI roles right now. They're hiring across AI/ML Engineer. Positions span Alhambra, CA, US, Costa Mesa, CA, US, Del Mar, CA, US. Compensation range: $47K - $160K.
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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