Interested in this AI/ML Engineer role at Institute on Violence, Abuse and Trauma?
Apply Now →Skills & Technologies
About This Role
POSITION SUMMARY
The Institute on Violence, Abuse and Trauma (IVAT) is seeking a proactive, motivated individual to provide logistical support for our Summits, training, and continuing education departments. The Training Assistant will support the planning, organizing, and execution of IVAT’s annual Summits, in\-person and virtual training, including registration and continuing education provision. The ideal candidate will be organized and adaptable with a demonstrated ability to collaborate, contribute, and thrive in assisting with multiple projects and tasks. The candidate will provide high\-quality service to all constituencies of IVAT. They will exhibit the highest professional standards and ethical principles and will be committed to the tenets of IVAT’s Mission and Vision.
The Family Violence and Sexual Assault Institute (FVSAI) dba IVAT is a nonprofit organization and a leading international resource and training center, headquartered in San Diego, California. IVAT links practice, policy, research, and advocacy to promote violence\-free living and improve the quality of life for individuals on local, national, and international levels. For more information, visit our website: https//www.ivatcenters.org/
ESSENTIAL FUNCTIONS, DUTIES AND RESPONSIBILITIES:
This role will be responsible for the coordination of training content, communication with speakers, support of attendees, and assist with marketing and promotion of IVAT’s training.
- Collaborate with agencies and organizations, contractors, presenters, and participants as needed
- Coordination of Summit planning committees, including maintaining databases, updating rosters, completing meeting agendas, and minutes
- Assist in coordinating speaker logistics, including travel and schedules for Summits/trainings
- Assist in registration setup and monitoring for all training events. Support attendees with registration needs
- Assist with review of continuing education (CE) credits IVAT offers for internal training, as well as contracts with external parties for whom IVAT provides CE
- Support the creation of and dissemination of continuing education certificates to training attendees
- Assist with the maintenance of IVAT’s approval to provide CE through the completion of renewal applications to various accrediting bodies
- Manage details of training and Summit events, including developing and updating files and records
- Report and provide feedback on the progress of projects as needed
- Perform Summit\-related clerical duties such as data entry, filing, updating of the Summit Division manual, etc.
- Serve as an information resource for Summit and training attendees
- Collect, organize, and edit materials needed for the Summit programs
- During Summits and trainings, provide support for set\-up, on\-site registration, and all tasks involved to ensure a smooth and successful event
- Other duties may include soliciting videos for display at the Summit, processing Summit/training scholarships, and assisting with speaker registrations
- Support the creation of evaluations for all trainings
- Other duties as assigned by the Professional Training Manager and/or Chief Executive Officer
POSITION REQUIREMENTS:
EDUCATION
High school graduate, some college preferred
EXPERIENCE
One\-year related experience required in administrative duties in a professional office environment
SKILLS, KNOWLEDGE, AND ABILITIES
- Knowledge of office administration
- Knowledge of basic office software (Microsoft Office, Google, etc.)
- Effective organizational skills
- Effective written, verbal, and listening communication skills
- Effective customer service skills
- Attention to detail and high level of accuracy
- Effective stress management techniques
- Effective time management techniques
- Ability to lift up to 35\-pound boxes
- Working knowledge of advanced planning; ability to initiate tasks and projects
- Possess cultural awareness and sensitivity
- Demonstrate a sound work ethic
- Ability to maintain a high level of accuracy in preparing and entering information
- Ability to maintain confidentiality of records, files, and information related to IVAT services
- Ability to follow established procedures and guidelines
- Ability to successfully work individually and as a team member
- Ability to effectively interface with the public within an organization at all professional levels, including staff
- Ability to compromise on a desired outcome
- Ability to effectively communicate verbally, in writing, and electronically
- Ability to prioritize work tasks and maintain a productive workload
- Ability to utilize sound judgement for problem solving; knowledge to know when to consult a supervisor
OTHER REQUIREMENTS:
- Prior knowledge in the fields of violence, abuse, and trauma.
- Committed to the mission and vision of IVAT as a social change organization.
- Maintain a professional appearance and demeanor.
- Valid California driver’s license at time of hire.
- Employment is contingent upon successful completion of a background check.
Ability to be optimistic, positive and supportive in all interactions with others. Applicants from diverse backgrounds with an interest in IVAT’s mission and vision of social justice, public health, and upholding diversity, equity, and inclusion of all are encouraged to apply.
Applications: Please send a cover letter and resume to Alex Waddell, Professional Training Manager at alexandraw@ivatcenters.org
Anti\-discrimination Policy: The Institute on Violence, Abuse \& Trauma prohibits discrimination in employment and in its educational programs and activities, including admission or access thereto, on the basis of race, national origin, color, creed, religion, ancestry, citizenship, sex, age, marital status, disability, medical condition, pregnancy, physical or mental disability, genetic information, veteran status, marital status, sexual orientation, gender, gender identity, gender expression, caregiver status or any other characteristic protected by federal, state or local laws, or on the basis of any perception that an applicant or employee has any of these characteristics, or on the basis that an applicant or employee is associated with someone who has or is perceived to have these characteristics.
The Institute on Violence, Abuse \& Trauma is an Equal Opportunity Employer, committed to ensuring a high quality of education through the diversity of the IVAT community and the curriculum. Women, people of color, people with disabilities and people from other underrepresented groups are encouraged to apply, as we actively seek to increase diversity at all levels. The Institute on Violence, Abuse \& Trauma will conduct its programs, services and activities consistent with applicable federal, state and local laws, regulations and orders. This policy is governed by Titles VI and VII of the Civil Rights Act of 1964, the Civil Rights Act of 1991, Title IX of the Education Amendments Act of 1972, Section 504 of the Rehabilitation Act of 1973, the Americans with Disabilities Act of 1990, the Age Discrimination Act of 1975, the regulations implementing these statutes, and applicable federal and California law.
Pay: $46,000\.00 \- $48,000\.00 per year
Work Location: In person
Salary Context
This $46K-$48K 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 Institute on Violence, Abuse and Trauma, 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 ($47K) sits 72% below the category median. Disclosed range: $46K to $48K.
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.
Institute on Violence, Abuse and Trauma AI Hiring
Institute on Violence, Abuse and Trauma has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in San Diego, CA, US. Compensation range: $48K - $48K.
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
Get Weekly AI Career Intelligence
Salary data, skills demand, and market signals from 16,000+ AI job postings. Every Monday.