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Medical Modeling Jobs in New York (NOW HIRING)

Palona AI

AI Modeling Engineer

Los Altos, CA · On-site

We are looking for an applied AI Modeling Engineer to improve the intelligence, accuracy, safety ... Medical, dental, vision, retirement, leave, and disability benefits as applicable. * Family Leave

Palona AI

AI Modeling Engineer

New York, NY · On-site

We are looking for an applied AI Modeling Engineer to improve the intelligence, accuracy, safety ... Medical, dental, vision, retirement, leave, and disability benefits as applicable. * Family Leave

Palona AI

AI Modeling Engineer

New York, NY · On-site

We are looking for an applied AI Modeling Engineer to improve the intelligence, accuracy, safety ... Medical, dental, vision, retirement, leave, and disability benefits as applicable. * Family Leave

Moody

AVP-Analytics & Quantitative Modeling

Manhattan, NY · On-site

$159.20 - $230.90/hr

AVP-Analytics & Quantitative Modeling (14274) At Moody's, we unite the brightest minds to turn ... Moody's also offers a competitive benefits package, including not but limited to medical, dental ...

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Medical Modeling information

See New York salary details

$39.9K

$180.2K

$368.7K

How much do medical modeling jobs pay per year?

As of Aug 22, 2026, the average yearly pay for medical modeling in New York is $180,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $293,700.00 per year, depending on experience, location, and employer.

What is medical modeling?

A Medical Modeling job involves creating digital or physical models of anatomical structures for medical applications. Specialists in this field use imaging data, such as CT or MRI scans, to develop accurate 3D models used in surgical planning, custom implants, medical research, or education. These models help improve patient outcomes by providing precise visualizations for healthcare professionals. The role often requires expertise in medical imaging software, 3D printing, and biomedical engineering.

What does a medical modeler do?

A typical workday for Medical Modeling professionals involves collaborating closely with clinicians and researchers to collect, process, and interpret medical imaging data. Tasks often include creating and refining 3D anatomical models, running simulations, validating models against clinical data, and presenting results to both technical and non-technical stakeholders. You may also participate in team meetings to discuss project progress, troubleshoot complex modeling issues, and integrate new technologies or workflows. The environment is highly collaborative and dynamic, offering opportunities to contribute to cutting-edge medical research and device development.

What skills and qualifications are needed for medical modeling?

Medical Modeling professionals require strong backgrounds in biomedical engineering, anatomy, and advanced computational modeling, typically holding degrees in biomedical engineering, medical physics, or a related field. Expertise in using specialized software like 3D CAD programs, medical imaging platforms (e.g., MRI, CT), and simulation tools, along with relevant certifications, is highly valued. Analytical thinking, attention to detail, and effective interdisciplinary communication are crucial soft skills in this field. These competencies ensure accurate creation of patient-specific models and effective collaboration with clinicians and researchers for improved healthcare outcomes.

What are the most commonly searched types of Medical Modeling jobs in New York?

The most popular types of Medical Modeling jobs in New York are:

What are popular job titles related to Medical Modeling jobs in New York?

For Medical Modeling jobs in New York, the most frequently searched job titles are:

What job categories do people searching Medical Modeling jobs in New York look for?

The top searched job categories for Medical Modeling jobs in New York are:

What cities in New York are hiring for Medical Modeling jobs?

Cities in New York with the most Medical Modeling job openings:

Medical Modeling jobs near you
Infographic showing various Medical Modeling job openings in New York as of August 2026, with employment types broken down into 5% Internship, 68% Full Time, 16% Part Time, and 11% Temporary. Highlights an 100% In-person job distribution, with an average salary of $180,222 per year, or $86.6 per hour.

AI Modeling Engineer

Palona AI

Los Altos, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Palona's AI agents operate in real restaurant environments: noisy phone lines, varied accents, complex menus, interruptions, incomplete information, strict business rules, and customers who expect an immediate, natural response. Improving these systems requires more than selecting the newest model. It requires disciplined evaluation, high-quality data, modeling judgment, experimentation, and production feedback loops.
We are looking for an applied AI Modeling Engineer to improve the intelligence, accuracy, safety, latency, and cost of Palona's voice and multimodal agents. You will own problems across model selection and routing, prompting and context, fine-tuning or post-training when justified, speech and language quality, evaluation methodology, dataset development, and model behavior in production.
This is a product-facing modeling role. Research depth matters, but success is measured by improvements that survive contact with production and create better guest, restaurant, and business outcomes. You will work closely with product, full-stack, infrastructure, and customer-facing engineers to move from hypothesis to experiment to reliable deployment.
What you'll own
  • Develop modeling and experimentation strategies for high-impact agent problems in voice, language, reasoning, ordering, multilingual behavior, and multimodal understanding.
  • Build rigorous offline and online evaluations that measure task completion, accuracy, safety, latency, cost, conversational quality, and business outcomes.
  • Create and maintain representative datasets from simulations, human annotation, production feedback, and difficult edge cases while protecting sensitive data.
  • Evaluate frontier and open-source models and make clear build, buy, route, prompt, fine-tune, or distill decisions.
  • Improve prompting, context construction, memory, tool-use policies, structured outputs, model routing, and fallback behavior.
  • Design fine-tuning, preference optimization, distillation, or other post-training work when it offers a measurable advantage over simpler methods.
  • Partner with speech and real-time engineers to improve ASR, TTS, turn-taking, interruption handling, pronunciation, multilingual behavior, and end-to-end latency.
  • Develop analysis tools that explain model failures, slice performance by scenario, detect regressions, and accelerate iteration.
  • Ship model changes with production guardrails, staged rollouts, monitoring, rollback paths, and clear quality gates.
  • Translate new research and model releases into concrete product opportunities and communicate tradeoffs to technical and non-technical partners.
  • Raise scientific and engineering standards through reproducible experiments, thoughtful reviews, and clear documentation.

Requirements
  • 3+ years of industrial experience in relevant technical domain.
  • Strong machine learning foundations and hands-on experience developing or evaluating production AI systems.
  • Strong Python skills and experience with modern ML tooling such as PyTorch, JAX, Hugging Face, or equivalent systems.
  • Practical experience with LLMs, speech models, multimodal models, or agentic systems.
  • Ability to design reliable experiments, define useful metrics, analyze noisy results, and avoid optimizing against weak proxies.
  • Experience building datasets, evaluation harnesses, model services, or training and inference pipelines.
  • Strong software engineering judgment; your work is reproducible, tested, observable, and usable by other engineers.
  • Ability to connect modeling choices to product constraints including latency, cost, privacy, safety, and user experience.
  • Comfort operating in ambiguity and collaborating across research, engineering, product, and customer contexts.
  • AI-native working habits and genuine curiosity about new model capabilities and limitations.

Benefits
  • Competitive Salary and Stock Option Plan.
  • Medical, dental, vision, retirement, leave, and disability benefits as applicable.
  • Family Leave
  • Short Term & Long Term Disability
  • Paid time off and company holidays.
  • Learning and development support.

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