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About This Role
Description:
Up to 28 hours/week
$25\.00/hour
Background
Internationally recognized as a premier museum and research center, the Frick is known for its distinguished Old Master paintings and outstanding examples of European sculpture and decorative arts.
The collection originated with Henry Clay Frick (1849–1919\), who bequeathed his home, paintings, sculptures, and decorative arts to the public for their enjoyment. The institution’s holdings—which encompass masterworks from the Renaissance through the nineteenth century—have grown over the decades, more than doubling in size since the opening of the museum in 1935\. A critical component of the institution is the Frick Art Research Library, founded in 1920 by Helen Clay Frick, daughter of the museum’s founder. Recognized as one of the world’s top art history research centers, it has served students, scholars, and members of the public free of charge for generations.
The Frick has undergone a comprehensive renovation and was open in a temporary home, Frick Madison, from 2020 through early 2024, while renovations were underway at the mansion on 70th Street. In addition to special exhibition galleries and education spaces, we have added enhanced visitor amenities and accessible spaces. The Museum and Art Research Library reopened to the public in April 2025\.
Workplace culture
At the Frick Collection, we pride ourselves on promoting an open and welcoming workplace culture that supports work\-life balance. The Frick strives to provide our employees with competitive salaries and exceptional benefits in a beautiful and pleasant work setting, while offering an excellent opportunity to appreciate some of the world’s finest works of art.
The Frick Collection provides equal opportunity to all employees and applicants for employment without regard to personal characteristics such as race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or other characteristics protected by law. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Position Summary
Reporting to the Museum Shop Inventory Coordinator, the Assistant will engage in all tasks related to inventory and supply organization and management, preparing and shipping web and mail orders, receiving museum shop merchandise. The Assistant will also help prepare merchandise for the museum shop and fulfilling shop requests for merchandise and supplies. Assists with inventory counts and making sure the inventory point of sale system is always up to date. Primary tasks include receiving, storage, and packing of product inventory, therefore, carrying/transport of these materials is an integral part of job functions.
Skills/Experience/Education
We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying.
- Highly organized and efficient, flexible, energetic.
- Able to work independently and as part of the Retail team.
- Retail experience/warehouse experience a plus
Requirements:
Physical Requirements
The candidate must be able to perform the essential functions of the position and, if requested, reasonable accommodation(s) will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.
Physical requirements are comparable to most office roles. Ability to interact in\-person with colleagues and the public. Use common office tools and machines (computer, phone). Ability to traverse throughout the office and building(s) both inside and outside of the and visit different levels of the buildings. Ability to travel throughout New York City for enrichment activities. Ability to carry/transport materials weighing up to 50 pounds. This role involves receiving, storage, and packing of product inventory: therefore carrying/transport of these materials is an integral part of job functions.
Work Hours and Compensation
This role is a part\-time temporary nonexempt role, the assistant will be scheduled to work up to 28 hours/week. The hourly rate for this role is: $25\.00\.
The Frick’s museum shop is open six days/week: Wednesdays through Mondays. Additionally, the Collection hosts events and other activities that require the museum shop to be open in the evenings. The Retail Operations Manager will be relied upon to work to support operations during regular opening hours and very occasionally to support evening events as needed.
Benefits in Employment with the Frick Collection
Part\-time employees and interns accrue sick leave up to 56 hours/year in accordance with the New York City Earned Sick Time Act.
Paid Holidays: part\-time employees and interns receive paid time\-off when they would normally be scheduled to work on holidays The Frick is closed to the public. These include New Year's Day, Juneteenth, Labor Day, Martin Luther King Day, Thanksgiving and Christmas Day.
Wellness Programs at the Frick include an Employee Assistance Plan, a discount on Citi Bike memberships and a discount on bike helmets.
Dining And Museum Shop Discounts: The Frick maintains a Seamless/GrubHub Corporate Account for all in\-office food ordering. Employees working on\-site may access an $8/day discount toward meal delivery from Seamless. This benefit is per employee per shift and is not transferable. All employees may access a discount in the Frick Museum Shop and the coffee bar in the Museum.
Application Process
Apply here or send resume and cover letter to:
Museum Shop Inventory Coordinator
The Frick Collection
1 East 70th Street
New York, NY 10021
*Qualified candidates of diverse backgrounds are encouraged to apply for vacant positions at all levels.This description shall not be construed as a contract of any sort for a specific period of employment.Benefits are subject to change and may differ based on employee status*
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 The Frick Collection, 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.
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.
The Frick Collection AI Hiring
The Frick Collection has 3 open AI roles right now. They're hiring across AI/ML Engineer. Based in New York, NY, US. Compensation range: $80K - $90K.
Location Context
AI roles in New York pay a median of $200,000 across 1,670 tracked positions. That's 9% above the national 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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