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Medical Machine Learning Jobs in New Jersey (NOW HIRING)

AvePoint

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$190K - $220K/yr

Solution Design: Design, build, and deploy machine learning models leveraging structured and ... medical, dental, vision, 401(k) with match, unlimited PTO), and depending on the role, bonuses ...

Lincoln Tech

Lead AI Engineer-Machine Learning

Parsippany, NJ · On-site

$103K - $135K/yr

Lincoln Tech is seeking a Lead AI Engineer -- Machine Learning to build efficient, data-driven AI ... Medical, Dental, Vision * Life and Disability Insurance * 401(k) with Company Match * Paid Time Off ...

NEC Labs America

ML - Researcher

Princeton, NJ · On-site

$150K - $180K/yr

The Machine Learning Department has been at the forefront of research in such areas as deep ... NEC offers an extensive benefits program which includes Medical and Pharmacy Insurance, Dental and ...

GMV

AI Innovation Leader

North Brunswick, NJ · On-site +1

If you want to know more about Big Data, artificial intelligence or machine learning and how they ... medical insurance for a family member.... * Join our team activities, events and sports ...

GMV

Data Architect

North Brunswick, NJ · On-site +1

$67.25 - $86.50/hr

If you want to know more about Big Data, artificial intelligence or machine learning and how they ... medical insurance for a family member.... * Join our team activities, events and sports ...

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Medical Machine Learning information

See New Jersey salary details

$37.1K

$167.2K

$342.1K

How much do medical machine learning jobs pay per year?

As of Aug 30, 2026, the average yearly pay for medical machine learning in New Jersey is $167,241.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $272,600.00 per year, depending on experience, location, and employer.

What is a medical machine learning?

A Medical Machine Learning job involves developing and applying AI algorithms to analyze medical data, such as imaging, electronic health records, and genomics, to improve diagnosis, treatment, and patient outcomes. Professionals in this field work with clinicians, data scientists, and engineers to create predictive models, automate medical workflows, and ensure compliance with healthcare regulations. Strong knowledge of machine learning, data processing, and healthcare-specific challenges is essential.

What types of teams do medical machine learning professionals typically collaborate with in a healthcare setting?

Medical Machine Learning professionals often work in multidisciplinary teams that include data scientists, clinicians, software engineers, and regulatory experts. Collaboration with healthcare providers is common to ensure models address real clinical needs and comply with healthcare standards. You'll typically interact closely with IT departments for data access and security, as well as with research teams and sometimes external partners. Working in such dynamic teams allows you to contribute technical expertise while gaining insights from domain experts, leading to more successful and impactful machine learning projects.

What are the key skills and qualifications needed to thrive in the medical machine learning position, and why are they important?

To thrive in Medical Machine Learning, you need a strong background in computer science, statistics, and biomedical sciences, often supported by an advanced degree in a related field. Familiarity with programming languages (such as Python or R), machine learning frameworks (like TensorFlow or PyTorch), and healthcare data management systems is crucial. Strong problem-solving abilities, collaboration skills, and the ability to communicate complex technical concepts to a diverse audience make a candidate stand out. These skills are critical for developing robust, effective machine learning solutions that can impact patient care and integrate seamlessly into clinical workflows.

What does medical machine learning do in healthcare?

Medical machine learning involves developing algorithms that analyze healthcare data to assist in diagnosis, treatment planning, and patient monitoring. Professionals in this field use tools like Python and TensorFlow to create models that improve accuracy and efficiency in medical decision-making.

What are the most commonly searched types of Medical Machine Learning jobs in New Jersey?

The most popular types of Medical Machine Learning jobs in New Jersey are:

What are popular job titles related to Medical Machine Learning jobs in New Jersey?

For Medical Machine Learning jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Medical Machine Learning jobs in New Jersey look for?

The top searched job categories for Medical Machine Learning jobs in New Jersey are:

Medical Machine Learning jobs near you
Infographic showing various Medical Machine Learning job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, and 6% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $167,241 per year, or $80.4 per hour.

Senior Machine Learning Engineer

Jersey City, NJ • On-site

AvePoint
Software Development • 1 - 5K employees
Learn more about AvePointexternal

$190K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 hours ago

Job description

About AvePoint:
Beyond Secure. AvePoint is the global leader in data security, governance, and resilience, going beyond traditional solutions to ensure a robust data foundation and enable organizations everywhere to collaborate with confidence. Over 25,000 customers worldwide rely on the AvePoint Confidence Platform to prepare, secure, and optimize their critical data across Microsoft, Google, Salesforce, and other collaboration environments. AvePoint's global channel partner program includes approximately 5,000 managed service providers, value-added resellers, and systems integrators, with our solutions available in more than 100 cloud marketplaces. To learn more, visit www.avepoint.com.
At AvePoint, we are committed to investing in our people. Agility, passion and teamwork set us up to do our best work and foster a culture where you are empowered to craft your career, make an impact, and own (y)our future. Unleash the power of you!
About the role:
We are seeking an analytical and innovative Senior Machine Learning Engineer to join our Data & AI team. You will play a key role in developing and deploying advanced machine learning models to solve real-world business challenges. Your efforts will help optimize data pipelines, extract actionable insights, and shape the future of intelligent solutions at AvePoint.
Key responsibilities:
  • Solution Design: Design, build, and deploy machine learning models leveraging structured and unstructured data that align with the overall SaaS product strategy. Collaborate with stakeholders to understand business requirements and translate them into AI-based functionalities. Drive holistic end-to-end AI architecture from data pipeline to LLM to platform components to application integration.
  • System Integration: Architect the integration of AI components into the existing SaaS infrastructure, ensuring scalability, reliability, and optimal performance. Collaborate with development teams to implement these integrations effectively.
  • Data Management: Design data pipelines and storage solutions for handling large volumes of data required for AI models. Ensure data security, privacy, and compliance with relevant regulations.
  • Scalability and Performance Optimization: Architect solutions that can scale horizontally to handle growing user bases. Create and optimize AI algorithms and workflows for speed, efficiency, and resource utilization.
  • Security and Compliance: Implement security measures to safeguard AI models and data. Ensure compliance with relevant industry standards and regulations. Develop guidance for the use of AI in product and internal tooling.
  • Execution & Adoption Ownership: Proactively identify and remove barriers to execution across data, engineering, and product workflows to ensure timely delivery of AI solutions. Serve as a steward of adoption by partnering with product, engineering, and go-to-market teams to ensure solutions are usable, measurable, and successfully adopted by end users and customers.

The ideal candidate has:
  • 5+ years of experience working as an engineer or architect with a focus on one or more of the following: machine learning, data science or natural language processing
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
  • Preferably worked on enriching SaaS products with AI/ML functionalities
  • Strong proficiency in AI technologies, machine learning, and deep learning frameworks.
  • Previous experience determining measurable, revenue generating or business solving outcomes and showing how AI can drive these.
  • Strategic thinking skills including the ability to lead and resolve company-wide technical discussions. Excellence at creating clarity and alignment for technical initiatives, in close partnership with our product management team.
  • Great ability to build trust through collaboration with multiple teams, articulate a vision, build consensus, and get hands-on to drive implementation.

Benefits We Offer
  • Competitive market-based compensation (salary, yearly bonus + equity).
  • Career progression and internal mobility opportunities.
  • Work-life balance through a hybrid working model.
  • Unlimited PTO.

This role offers the opportunity to work at the intersection of machine learning innovation and industry impact, contributing to AvePoint's vision for secure, intelligent, and data-driven workplaces.
If you are passionate about transforming data into actionable solutions and want to be part of a global tech leader, we want to hear from you!
The Salary Range for this role is $190,000 - $220,000. At AvePoint, we strive to offer competitive, fair, and equitable total rewards. The listed salary range represents a good faith estimate, with final offers based on location, experience, skills, and qualifications. The listed range reflects base salary only; our total rewards include base salary, comprehensive benefits (medical, dental, vision, 401(k) with match, unlimited PTO), and depending on the role, bonuses, commissions, or equity (RSUs). We welcome compensation discussions-apply even if your expectations fall outside the range.
Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.

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