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About This Role
THE CITY OF REEDLEY INVITES YOU TO APPLY
Application Instructions or Other Information
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The Reedley Fire Department is recruiting for three (3) Volunteer Paid-Call Firefighter positions.
This position is in the Fire Department, and works under the immediate supervision of the Fire Chief or assigned Designee. This position is and subject to the terms and conditions of the current Volunteer Fire Department Resolution and the City's Personnel Policies & Procedures Manual. Please review the position description below for requirements.
Applications will only be accepted online to ensure that the application is complete at the time of submission. It is important that your application show all the relevant education and experience that you possess. A resume may be attached, but is not a substitute for completing the application. Failure to submit a completed application with attachments (if required) will disqualify you from consideration for the position.
Applicants are required to apply online at:https://www.governmentjobs.com/careers/reedley
Please make sure to update your profile for governmentjobs.com if you’ve ever applied for a position through this platform.
The successful candidate will be required to undergo additional background clearance checks before the activation process is complete.
For more information about applying for this position, you may contact Human Resources at (559) 637-4200 ext. 394.
E.O.E.
Position Information
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VOLUNTEER PAID-CALL COMPENSATION: $25.00 PER CALL RESPONSE
THIS IS A VOLUNTEER POSITION WITH THE REEDLEY VOLUNTEER FIRE DEPARTMENT.
INCUMBENTS IN THIS POSITION ARE NOT EMPLOYEES OF THE CITY OF REEDLEY.
DEFINITION
Under general supervision, responds to fire alarms, emergency medical calls, traffic accidents, rescue and other emergency calls to protect life and property; participates in training; drill and independent study activities; participates in the maintenance of fire department apparatus, equipment and facilities; performs various staff support assignments; and performs related work as assigned.
DISTINGUISHING CHARACTERISTICS
Incumbents are expected to train for and are expected to perform all of the class’s essential duties and responsibilities. This class is distinguished from Fire Engineer in that the latter is fully qualified to operate any of the department’s vehicles and apparatus in addition to performing all of the normal emergency response duties. After proper training and departmental certification, incumbents are expected to be fully qualified to assume the duties of a Fire Engineer on a relief and on an emergency basis.
EXAMPLES OF IMPORTANT AND ESSENTIAL DUTIES
*The duties listed below are intended only as illustrations of the various types of work that may be performed. The omission of specific statements of duties does not exclude them from the position if the work is similar, related or a logical assignment to the class.*
- Responds to a wide variety of emergency alarms, such as structural and environmental fires, traffic collisions, natural gas leaks, medical emergencies and hazardous materials spills.
- Fights fires under departmental procedures and as directed by a fire company officer; connects and lays hose lines, sets ladders and operates fire streams; uses hand and power tools to ventilate and enter burning structures for the purpose of extinguishing fires and to perform search and rescue operations; raises, lowers and climbs ladders to enter structures; performs salvage, clean up and overhaul operations during and after fires to remove hazards and protect property.
- Provides first responder medical emergency response at the basic life support level, including initial patient and situation assessment, cardiopulmonary resuscitation and trauma emergency medical care; prepares patients and assists paramedics in advanced life support emergency medical care.
- Participates in specialized rescue operations, including situations involving the use of rigging and shoring; operates specialized hand and power tools and equipment to rescue traffic collision victims.
- Cleans, services and makes minor repairs to ensure the operational readiness of vehicles, apparatus, hoses and emergency equipment; participates in the cleaning, repair and upkeep of departmental buildings, grounds and facilities.
- Participates in drills, demonstrations and courses in firefighting techniques, equipment and apparatus operation, medical aids, heavy rescue, swiftwater rescue, hazardous materials, fire prevention, equipment maintenance and a wide variety of other subjects related to the fire service; studies local geography and conditions affecting fire operations; studies and learns inspection regulations and fire prevention laws, codes and departmental policies and procedures; studies and learns procedures and techniques for the mitigation of hazardous materials incidents.
- Participates in the development and implementation of the department’s public education and community outreach programs and activities.
- Assists in the inspection of commercial business occupancies; assists in performing follow-up procedures to ensure compliance to federal, state, regional and local codes.
OTHER JOB RELATED DUTIES
- Participates in various support assignments, including but not limited to the maintenance of inventory records, scheduled inspections of department equipment, hydrant inspections and maintenance and fire flow testing, the ordering, inventorying and issuance of safety equipment, the preparation and maintenance of department maps and pre-fire plans, and the preparation of specifications and budgets for new equipment and apparatus.
- May serve in the higher-level class of Fire Engineer on a relief basis or as needed.
- Assists in the training of other fire department personnel and student firefighters.
JOB RELATED AND ESSENTIAL QUALIFICATIONS
Knowledge of:
- Principles, methods and techniques of fire suppression and prevention.
- Principles of mathematics, physics, chemistry and mechanics as they apply to fire science.
- Federal, state and local codes, rules and regulations as they pertain to fire safety.
- Methods and techniques involved in the operation of standard firefighting equipment and apparatus.
- Basic principles of emergency medical care at the basic life support level.
- Safety practices and precautions pertaining to the work.
- Proper lifting, carrying and climbing techniques.
- Plans check methods and practices as they pertain to fire safety.
Ability to:
- Read and understand technical materials related to fire science.
- Understand and follow oral and written instructions.
- Establish and maintain effective relationships with those encountered in the course of work.
- Remain calm, make sound decisions and respond appropriately in emergency situations.
- Maintain records and prepare clear and concise reports.
- Maintain physical endurance and agility.
- Perform mathematical calculations.
Training and Experience:
- Previous firefighting experience in a volunteer or paid capacity is desirable, however the Reedley Fire Department will provide the necessary training to achieve the knowledge, skills and abilities as outlined above.
License or Certificate:
- A valid California drivers’ license.
- A Class-B Firefighter endorsement (within 1 year of activation date).
- A current cardiopulmonary resuscitation (CPR) certificate (within 6 months of activation date).
- First Responder certified (within 1 year of activation date).
Special Requirements:
*Essential duties require the following physical and mental demands and work environment:*
PHYSICAL AND MENTAL DEMANDS
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this class.
Physical Demands:
- While performing the duties of this job, the employee is frequently required to use hands to finger, feel or operate objects, tools or controls; and reach with hands and arms; climb or balance, stoop, kneel, crouch or crawl, walk, sit and talk or hear. The employee must regularly lift and/or move equipment and/or persons weighing up to 150 pounds.
- Specific vision abilities required by this job include close vision, color vision and the ability to adjust focus.
Mental Demands:
- While performing the duties of this class, employees are regularly required to use written and oral communication skills; read and interpret data, information and documents; analyze and solve problems; use math and mathematical reasoning; observe and interpret situations; learn and apply new information or skills; and interact with City staff, other organizations and the public.
WORK ENVIRONMENT
- The work environment characteristics described herein are representative of those an employee encounters while performing the essential functions of this class.
- The employee frequently works in outside weather conditions and is exposed to extremely hazardous conditions and materials.
CALL RESPONSE REQUIREMENT
- Due to the emergency nature of the duties of a Volunteer Paid-Call Firefighter, incumbents must be able to report to the Reedley Fire Station within six (6) minutes of being notified of a need for services.
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 40,900 AI roles we're tracking, AI/ML Engineer positions make up 91% of the market. At City of Reedley, 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 $154,000 based on 8,743 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $147,000.
Across all AI roles, the market median is $190,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $300,688. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Safety ($274,200). By seniority level: Entry: $85,000; Mid: $147,000; Senior: $225,000; Director: $230,600; VP: $248,357.
City of Reedley AI Hiring
City of Reedley has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in Reedley, CA, US.
Location Context
Across all AI roles, 7% (2,924 positions) offer remote work, while 37,845 require on-site attendance. Top AI hiring metros: New York (1,633 roles, $204,100 median); Los Angeles (1,356 roles, $179,440 median); San Francisco (1,230 roles, $240,000 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 40,900 open positions tracked in our dataset. By seniority: 4,029 entry-level, 25,439 mid-level, 7,762 senior, and 3,670 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (2,924 positions). The remaining 37,845 roles require on-site or hybrid attendance.
The market median for AI roles is $190,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $300,688. Highest-paying categories: AI Engineering Manager ($293,500 median, 21 roles); AI Safety ($274,200 median, 24 roles); Research Engineer ($260,000 median, 264 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 40,900 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (37,169), AI Software Engineer (901), AI Product Manager (900). 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 (4,029) are outnumbered by mid-level (25,439) and senior (7,762) 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 3,670 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (2,924 positions), with 37,845 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 $190,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $300,688. 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 $145,600. 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 (25,942 postings), Aws (13,683 postings), Rust (11,704 postings), Python (6,016 postings), Azure (4,013 postings), Gcp (3,393 postings), Prompt Engineering (2,293 postings), Kubernetes (1,898 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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