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About This Role
Public Employees Retirement System
JC\-513521 *
Pension Valuation Accountant Trainee
ACCOUNTANT TRAINEE
$4,442\.00 \- $5,296\.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: 4/9/2026
Application Methods:Electronic (Using your CalCareer Account)
By Mail
Drop\-off
Job Description and Duties
Anticipated Interview Dates: We anticipate holding in\-person interviews beginning April 27, 2026\.
CalPERS seeks an Associate Accountant Trainee in the Financial Reporting and Accounting Services Division, Pension Accounting Unit.
Under general supervision of the Financial Accountant (FA) II, Supervisor, the Accountant Trainee in the Pension Valuation Accounting is responsible for performing professional accounting duties involved in maintaining fiscal control of accounting activities for general ledger accounts.
Telework Information: This position is eligible for a hybrid work schedule, with up to two days of remote work and three days or more onsite, per week.
Sponsorship
This position is not eligible for visa sponsorship. Applicants must be authorized to work in the United States without the need for visa sponsorship. CalPERS does not participate in E\-Verify for employment authorization purposes.
Effective July 1, 2025, The California Department of Human Resources (CalHR) implemented the Personal Leave Program 2025 (PLP 2025\). PLP 2025 directs that each employee shall receive a 3 percent reduction in pay in exchange for 5 hours PLP 2025 leave credits, monthly. The salary range(s) included in the job advertisement do not reflect the 3 percent reduction in pay.
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Working Conditions
- This position is designated as office\-centered and works primarily onsite at the Sacramento, CA \-Headquarters at least three weekdays.
- May be required to sit for extended periods of time.
- May be required to travel between buildings.
- Low\-wall, cubicle environment with fluorescent lighting.
- Must be able to work Monday – Friday from 8:00 am – 5:00 pm.
Position Details
Job Code \#: JC\-513521
Position \#(s):
275\-210\-4179\-005
Working Title: Pension Valuation Accountant Trainee
Classification: ACCOUNTANT TRAINEE
$4,442\.00 \- $5,296\.00 A
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: Hybrid
Job Type: Permanent, Full Time
Department Information
The California Public Employees’ Retirement System (CalPERS) is the nation’s largest public pension fund, providing retirement and health benefits to public employees, retirees, and their families. Headquartered in downtown Sacramento, we are a destination employer with an international reputation for leadership and innovation. At CalPERS, we’re committed to people – the people we serve, our team members, and the larger community around us. CalPERS is situated near the Napa Valley, San Francisco, Lake Tahoe, and other desirable destinations, and we offer competitive benefit packages, compensation, and opportunities for advancement.
If you are interested in becoming part of a diverse and inclusive workforce where talent, experience, and expertise are valued, CalPERS invites you to apply for this employment opportunity. To find out more about our Diversity, Equity, and Inclusion efforts, visit our website!
To take a look at CalPERS as a destination employer, view this YouTube video.
Special Requirements
Minimum Qualifications
All experience and education relating to the Minimum Qualifications (MQs) listed on the Classification Specification should be included in your application package to clearly demonstrate how you meet the MQs for this position. If you are using education to meet MQs, please include your transcripts with your application package. If you have a degree from outside of the United States, you must submit an evaluation of this degree to determine the US equivalency. If you need an evaluation, you can visit the National Association of Credential Evaluation Services (NACES) website to find organizations that provide these services. The Classification Specification is located on this Job Posting under "Minimum Requirements."
Please Note: You may need to pass an examination to establish list eligibility prior to a final offer of employment. To find and take an exam, visit CalHR’s CalCareers website.
Career Services \& Outreach
Need help with your state application, resume, Statement of Qualifications, or interview preparation? The CalPERS Career Services \& Outreach (CSO) team provides comprehensive support throughout the CalPERS hiring process. Our services include one\-on\-one online consultations for application assistance, Statement of Qualification review, and interview preparation. To schedule an appointment and receive personalized guidance from our team, please use the following booking link: CalPERS Career Services Consultations.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: 4/9/2026
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:
Public Employees Retirement System
Postal
Attn: JC\-513521/SY
Human Resources Division, Recruitment
P. O. Box 942718
Sacramento, CA 94229\-2718
Address for Drop\-Off Application Packages
You may drop off your application and any applicable or required documents at:
Public Employees Retirement System
Drop\-Off
HRSD, SSU JC\-513521/SY
400 Q Street, Lincoln Plaza North
1st floor drop box by security desk
Sacramento, CA 95811
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.
Desirable Qualifications
In addition to evaluating each candidate's relative ability, as demonstrated by quality and breadth of experience, the following factors will provide the basis for competitively evaluating each candidate:
- Knowledge of accounting principles and procedures.
- Knowledge of accounting software and Microsoft Office tools.
- Exemplary organizational skills with a strong commitment to quality customer service.
- Ability to communicate effectively with a variety of individuals (e.g., management, team members, internal and external stakeholders).
- Ability to perform well under pressure while working in a fast\-paced and multitasking environment.
- Ability to follow directions while demonstrating a high degree of initiative, independence, and responsibility in successfully performing the assigned job duties.
- Good work habits, self\-motivation, dependability, positive attitude, and work well in a team environment.
- Ability to be flexible responding to changing workload.
Benefits
CalPERS team members are eligible for a number of benefits. Health benefits and leave programs are available for most team members. Benefit eligibility may depend on length of service and collective bargaining agreements.
Some added benefits CalPERS offers include:
- Alternate Work Schedules
- Flexible Work Hours
- Onsite childcare facility
- Onsite fitness center
- Onsite café and nearby restaurants
- Free onsite parking available Mondays and Fridays, subject to change
- Free offsite parking available with shuttle service Tuesdays, Wednesdays and Thursdays
Contact Information
The Hiring Unit Contact is available to answer questions regarding the position or application process.
Hiring Unit Contact:
CalPERS HRSD, Selection Services
(916\) 795\-2444
Recruitment@calpers.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:
CalPERS EEO
(916\) 795\-3675
EEO@calpers.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
Live Scan
Candidates not currently employed at CalPERS are required to submit to a criminal history review process utilizing Live Scan fingerprinting.
CalPERS Disclosure Requirements
If employed, you may be subject to rules imposed by Personal Trading Regulations and Conflict of Interest Code that apply to CalPERS team members, which require disclosure of certain investment information and use of a designated trading platform for securities transactions, as well as filing a Statement of Economic Interest (Form 700\)
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 $53K-$63K 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 ($58K) sits 65% below the category median. Disclosed range: $53K to $63K.
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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