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About This Role
Description:
Vizcaya Museum and Gardens is a National Historic Landmark and accredited museum in Miami, Florida (www.vizcaya.org). Vizcaya is owned by Miami-Dade County and is operated by the non-profit Vizcaya Museum and Gardens Trust, Inc. Our mission is to preserve the estate’s cultural and environmental resources to engage people in connecting with the past, understanding the present and shaping the future. Our vision is to position Vizcaya as an enduring, inclusive, and innovative place that inspires people to embrace the cultural vitality and environmental sustainability of the world around us.
This is an exciting time to join Vizcaya Museum and Gardens. Vizcaya is preparing for a transformational comprehensive campaign to support annual giving, endowment growth and capital projects across the campus totaling more than $100 million in need. Among the most highly anticipated initiatives is underway is the revitalization of Vizcaya Village, the original working farm of the estate. This ambitious restoration project will enhance the visitor experience, expand educational and agricultural programming, and restore historic buildings and landscape features for public access. The Village Revitalization represents a once-in-a-generation opportunity to tell Vizcaya’s full story and establish a cultural hub for future generations.
The Campaign Coordinator and Prospect Researcher provides essential fundraising and operational support for the Campaign fundraising efforts. Working collaboratively across the Advancement team, this newly created role combines prospect research expertise with coordination of Campaign engagement activities, serving as a key support partner in reaching the Advancement team’s annual strategic goals. This position will also play a critical role in supporting Campaign planning and execution during this exciting period of institutional growth. The position is on the Advancement Team and reports to the Director of Advancement Operations and Campaigns.
Essential Functions
Campaign Coordination and Administration
- Coordinate leadership briefings, meetings and tours for donors, prospects, and key stakeholders.
- Maintain accurate and up-to-date donor and prospect records in the Veevart database.
- Support campaign logistics including tracking progress toward goals, preparing materials, and coordinating donor recognition.
- Prepare clear campaign reports for leadership and the Board such as dashboards and progress updates.
- Support Campaign communications in partnership with Advancement colleagues.
- Provide administrative support for Campaign activities and perform other related duties as assigned.
Prospect Research and Identification
- Conduct prospect research to identify, qualify, and cultivate potential major gift donors including individuals, corporations, and family foundations.
- Use iWave and other analytics tools to complete wealth screenings, capacity ratings, relationship mapping, and donor propensity analysis.
- Assess high-net-worth individuals’ philanthropic interests, giving capacity and readiness to give.
- Provide recommendations to support new prospect assignments and pipeline prioritization.
- Partner with the Director of Corporate, Foundation and Government Relations to support research and prospect development.
Portfolio Support and Relationship Management
- Assist the Chief Advancement Officer with portfolio management, meeting preparation, and donor engagement planning.
- Staff donor portfolios for the Chief Advancement Officer, Executive Director/CEO and Board Chair including scheduling meetings and preparing briefing materials.
- Track moves management to support strong major gift and principal gift pipelines.
- Work with Advancement team members to support donor engagement planning and coordination.
General Responsibilities
- Achieve meaningful and timely actions that advance Vizcaya’s mission, vision, and strategic plan.
- Help to sustain and grow Vizcaya’s revenues and participate in pursuing funding opportunities.
- Proactively promote communication, collaboration, and customer service.
- Engage in internal committees as appropriate and complete assigned tasks in a timely manner.
- Create and manage your budget; understand and comply with Vizcaya’s policies and procedures.
This job description is not designed to be comprehensive; duties, responsibilities and activities may change at any time with or without notice.
Requirements:
Position Requirements
- At least 3-5+ years of work experience as a Campaign Coordinator or Prospect Researcher.
- Bachelor’s degree in nonprofit management, communications, or a related field.
- Analytical skills with current knowledge of prospect research methodologies, donor cultivation practices, and fundraising principles.
- Experience with donor database systems and prospect research tools.
- Positive attitude, strong interpersonal skills, excellent writing skills, and attention to detail.
- Flexibility and commitment to collaboration.
- Ability to be self-directed, curious, and work independently to meet deadlines.
- Maintain confidentiality of sensitive donor information and adhere to ethical standards in fundraising and prospect research.
- English fluency.
- Proficiency with Microsoft Office.
Factors Vizcaya Will Consider When Evaluating Applicants and Determining Compensation
- Additional relevant work experience, training, internship, and education.
- Certification in prospect research (CFRE, APRA or similar credentials).
- Familiarity with iWave and prospect analytics platforms.
- Proficiency with AI tools for research, data analysis, and productivity enhancement.
- Experience in cultural organizations, museums, or historic sites.
- Experience supporting comprehensive or capital campaigns.
- Experience with Veevart, Salesforce or comparable donor database systems.
- Spanish, Haitian Creole and other language skills.
Compensation
Vizcaya Museum and Gardens offer competitive compensation with generous paid leave, retirement benefits, and robust medical and other insurance for full-time employees. Salary will be based on the selected candidate’s experience and skills. The anticipated compensation is approximately $57,000 for someone meeting the requirements of the position to approximately $68,000 for someone exceeding them.
Work Environment/Physical Demands
The majority of work is done in an office setting, with some interaction with donors, prospects, community members, partners, vendors, and other constituents on and off site. Vizcaya is a non-smoking environment. Occasional lifting of materials up to 25 pounds may be required for event setup and coordination.
Position Type/Expected Hours of Work/Schedule
This is a full-time (40 hours per week), exempt position, typically Monday-Friday. This is a hybrid position with a combination of on-site and remote work. Periodic evening and weekend work is required.
To Apply
Please submit a resume and a cover letter expressing your interest in this position to: https://vizcaya.org/about/careers/
Equal Opportunity Employer
Vizcaya Museum and Gardens is committed to equity and inclusion and is engaged in a strategic process to ensure that our staff, Board, and volunteers reflect our community’s diversity. Vizcaya welcomes applicants from groups that are underrepresented in cultural organizations and seeks to recruit, develop and retain a diverse workforce.
Vizcaya Museum and Gardens is an equal opportunity employer. Vizcaya respects people of all backgrounds and does not discriminate based upon race, religion, color, national origin, ancestry, sex, pregnancy, childbirth, sexual orientation, gender identity, gender expression, age, marital status, familial status, status as a protected veteran, status as an individual with a disability, status as a victim of domestic violence, dating violence or stalking, or other applicable legally protected characteristics protected by law.
Updated January 28, 2026
Salary Context
This $57K-$68K range is in the lower quartile for AI/ML Engineer roles in our dataset (median: $170K across 217 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 37,339 AI roles we're tracking, AI/ML Engineer positions make up 91% of the market. At Vizcaya Museum and Gardens Trust, 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. This role's midpoint ($62K) sits 59% below the category median. Disclosed range: $57K to $68K.
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.
Vizcaya Museum and Gardens Trust AI Hiring
Vizcaya Museum and Gardens Trust has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in Miami, FL, US. Compensation range: $68K - $68K.
Location Context
Across all AI roles, 7% (2,732 positions) offer remote work, while 34,484 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 37,339 open positions tracked in our dataset. By seniority: 3,672 entry-level, 23,272 mid-level, 7,048 senior, and 3,347 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (2,732 positions). The remaining 34,484 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 37,339 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (33,926), AI Software Engineer (823), AI Product Manager (805). 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 (3,672) are outnumbered by mid-level (23,272) and senior (7,048) 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 3,347 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (2,732 positions), with 34,484 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 (23,721 postings), Aws (12,486 postings), Rust (10,785 postings), Python (5,564 postings), Azure (3,616 postings), Gcp (3,032 postings), Prompt Engineering (2,112 postings), Kubernetes (1,713 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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