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About This Role
Department of General Services
JC\-513871 *
Tree Maintenance Worker
TREE MAINTENANCE WORKER
$4,870\.00 \- $6,101\.00 per Month
New to State candidates will be hired into the minimum salary of the classification or minimum of alternate range when applicable.
Final Filing Date: 4/21/2026
Application Methods:Electronic (Using your CalCareer Account)
By Mail
Drop\-off
Job Description and Duties
Excellence in the Business of Government!
Come join a team that creates:
- A collaborative team atmosphere founded upon ethics, integrity, and stewardship.
- A positive work environment that is open to change and invites its workforce to challenge processes.
- An opportunity for individuals to utilize their knowledge, skills, and experience to grow within the department.
Under supervision of the Staff Services Manager I, the Tree Maintenance Worker in the Facilities Management Division (FMD), May Lee State Office Complex trims, shapes, cultivates, maintains, removes and plants trees at State owned facilities throughout the DGS FMD regional area as needed.
This position may require travel.
This position is not eligible for visa sponsorship. Applicants must be authorized to work in the United States without the need for visa sponsorship by the start date of employment. The Department of General Services does not participate in E\-Verify for employment authorization purposes.
If you’re interested in exploring additional job opportunities at DGS, please reach out to our recruitment team; we’d love to hear from you! Please contact us at DGSRecruitment@dgs.ca.gov.
Working Conditions
- Diversity, Equity, and Inclusivity: A work culture that emphasizes a culture of diversity and inclusivity, offering tangible rewards and recognizing the intrinsic value of varied perspectives and collaboration.
- Career Growth and Training: A focus on career growth and training in an effort to engage and retain a diverse talent pool that aligns with the organization's mission and vision.
- Competitive Rewards: Employees enjoy world\-class benefits packages, attractive salaries, and robust pension plans, reflecting a commitment to employee well\-being.
- Work\-Life Balance: Work\-life balance is fostered through measures like telework and adjustable schedules, allowing personal and professional lives to thrive together.
- Learning and Development: Emphasizing on continuous learning, DGS offers onsite and virtual Statewide Training programs to ensure that employees remain at the cutting edge of their fields.
- Generous State Benefits: Comprehensive health and dental insurance, long\-term disability insurance, 11 paid holidays per year, paid time off, defined benefit retirement program, commute program, employee wellness programs, employee assistance programs, and medical/dependent care reimbursement accounts.
Position Details
Job Code \#: JC\-513871
Position \#(s):
308\-228\-0748\-XXX
Working Title: Tree Maintenance Worker
Classification: TREE MAINTENANCE WORKER
$4,870\.00 \- $6,101\.00
New to State candidates will be hired into the minimum salary of the classification or minimum of alternate range when applicable.
\# of Positions: 1
Work Location: Sacramento County
Telework: In Office
Job Type: Permanent, Full Time
Work Shift: 6:00 a.m. – 2:30 p.m.
Work Week: Monday – Friday
Department Information
The Department of General Services (DGS) Core Values and Employee Expectations are key to the success of the Department's Mission. That mission is to "Deliver results by providing timely, cost\-effective services and products that support our customers." DGS employees are to adhere to the Core Values and Employee Expectations, and to perform their duties in a way that exhibits and promotes those values and expectations.
Department Website: https://www.dgs.ca.gov/dgs/home.aspx
Special Requirements
- The position(s) require(s) a Drug Screening be passed prior to being hired.
- The position(s) require(s) Medical Clearance prior to being hired.
- Employment History on the STD 678 (State Application) must be complete and include employment dates, accurate hours per week, total time worked, duties and responsibilities performed, and contact names and phone numbers of supervisors. License and Certification numbers included on the STD 678 must include issue date and expiration date. Failure to indicate issue and expiration dates will result in disqualification. Resumes or other documents cannot substitute the STD 678 (State Application). Applicants who fail to submit a completed STD 678 (State Application) may be disqualified. Only the most qualified candidates will be invited to an interview.
- Applicants who completed their education outside of the United States (with foreign degrees/transcripts) must obtain and submit verification of US course/degree equivalency. Foreign education credential evaluation services can be found atNACES \| National Association of Credential Evaluation Services
Application Instructions
Completed applications and all required documents must be received or postmarked by the Final Filing Date in order to be considered. Dates printed on Mobile Bar Codes, such as the Quick Response (QR) Codes available at the USPS, are not considered Postmark dates for the purpose of determining timely filing of an application.
Final Filing Date: 4/21/2026
Who May Apply
Individuals who are currently in the classification, eligible for lateral transfer, eligible for reinstatement, have list or LEAP eligibility, are in the process of obtaining list eligibility, or have SROA and/or Surplus eligibility (please attach your letter, if available). SROA and Surplus candidates are given priority; therefore, individuals with other eligibility may be considered in the event no SROA or Surplus candidates apply. Individuals who are eligible for a Training and Development assignment may also be considered for this position(s).
Applications will be screened and only the most qualified applicants will be selected to move forward in the selection process. Applicants must meet the Minimum Qualifications stated in the Classification Specification(s).
How To Apply
Complete Application Packages (including your Examination/Employment Application (STD 678\) and applicable or required documents) must be submitted to apply for this Job Posting. Application Packages may be submitted electronically through your CalCareer Account at www.CalCareers.ca.gov. When submitting your application in hard copy, a completed copy of the Application Package listing must be included. If you choose to not apply electronically, a hard copy application package may be submitted through an alternative method listed below:
Address for Mailing Application Packages
You may submit your application and any applicable or required documents to:
Department of General Services
OHR \- Mailing
Attn: Classification \& Pay Unit
P.O. Box 989052
West Sacramento, CA 95798\-9052
Address for Drop\-Off Application Packages
You may drop off your application and any applicable or required documents at:
Department of General Services
OHR \- DROP OFF
Attn: Classification \& Pay Unit
Office of Human Resources
707 3rd Street Suite 7\-130, Lobby
West Sacramento, CA 95605
08:00 AM \- 05:00 PM
Required Application Package Documents
The following items are required to be submitted with your application. Applicants who do not submit the required items timely may not be considered for this job:
- Current version of the State Examination/Employment Application STD Form 678 (when not applying electronically), or the Electronic State Employment Application through your Applicant Account at www.CalCareers.ca.gov. All Experience and Education relating to the Minimum Qualifications listed on the Classification Specification should be included to demonstrate how you meet the Minimum Qualifications for the position.
- Resume is optional. It may be included, but is not required.
Applicants requiring reasonable accommodations for the hiring interview process must request the necessary accommodations if scheduled for a hiring interview. The request should be made at the time of contact to schedule the interview. Questions regarding reasonable accommodations may be directed to the EEO contact listed on this job posting.
Benefits
*There are many benefits to joining our team!* The State of California has a generous benefits package, some benefits include:
- Medical Benefits, including health, dental, and vision insurance
- Paid Holidays and leave
- Defined benefit retirement program
- Savings Plus Program (401(k), 457\)
- Commute Program
- Employee Wellness Program
- Employee Assistance Program
- Medical/Dependent Care Reimbursement Accounts
Contact Information
The Hiring Unit Contact is available to answer questions regarding the position or application process.
Department Website: https://www.dgs.ca.gov/dgs/home.aspx
Hiring Unit Contact:
Nancy Pacheco
(916\) 323\-6437
nancy.pacheco@dgs.ca.gov
Please direct requests for Reasonable Accommodations to the interview scheduler at the time the interview is being scheduled. You may direct any additional questions regarding Reasonable Accommodations or Equal Employment Opportunity for this position(s) to the Department's EEO Office.
EEO Contact:
EEO Main line
(916\) 376\-5127
DGSEEO@dgs.ca.gov
California Relay Service: 1\-800\-735\-2929 (TTY), 1\-800\-735\-2922 (Voice) TTY is a Telecommunications Device for the Deaf, and is reachable only from phones equipped with a TTY Device.
Additional Information
Reporting Location:
Facilities Management Division (FMD)
Capitol Historic Region / May Lee State Office Complex
1300 L street , Sacramento, CA 95811
Please specify RPA \#29267 and JC\-513871 on your state application.
Successful examination applicants are placed on a hiring eligibility list. If you already have list eligibility for this classification, you do not need to retake the examination. Applicants should refer to their examination results or check their CalCareers account for specific list eligibility expiration dates and/or to re\-take the examination when necessary.
For questions regarding the examination process, please contact the DGS Examinations Unit at DGSExams@dgs.ca.gov.
Equal Opportunity Employer
The State of California is an equal opportunity employer to all, regardless of age, ancestry, color, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding and related medical conditions), and sexual orientation.
It is an objective of the State of California to achieve a drug\-free work place. Any applicant for state employment will be expected to behave in accordance with this objective because the use of illegal drugs is inconsistent with the law of the State, the rules governing Civil Service, and the special trust placed in public servants.
Salary Context
This $58K-$73K range is below the median 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 California State Personnel Board, 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 ($65K) sits 61% below the category median. Disclosed range: $58K to $73K.
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.
California State Personnel Board AI Hiring
California State Personnel Board has 4 open AI roles right now. They're hiring across AI/ML Engineer. Based in CA, US. Compensation range: $63K - $158K.
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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