AI ML Engineering Jobs in New Jersey
AI ML Engineering jobs in New Jersey are in strong demand, concentrated in pharmaceuticals, financial services, telecommunications, and defense contracting, with openings from entry-level data associate through principal engineer. Newark, Princeton, and Parsippany are the primary hiring corridors, anchored by employers such as Johnson & Johnson, Cognizant, and Verizon. The most sought-after specialties are natural language processing, MLOps infrastructure, and computer vision applied to drug discovery and fraud detection pipelines. Find a role that fits below and apply directly.
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Join a world-class data science team at JPMorgan Chase and help shape the future of our Chief Administrative Office. As a leader in applied AI and machine learning, you'll have the opportunity to work on high-impact projects that influence the way we do business across multiple domains. Collaborate with talented colleagues, leverage cutting-edge technologies, and see your work make a tangible difference. We value curiosity, technical excellence, and a passion for solving complex problems. If you're ready to accelerate your career and drive meaningful change, we want to hear from you.
As an Applied AI ML, Senior Associate in the Chief Data & Analytics Office, you will lead the development and deployment of innovative AI and machine learning solutions. You will collaborate with cross-functional teams to address complex business challenges, drive adoption of modern ML practices, and ensure responsible AI governance. You will have the opportunity to work with state-of-the-art technologies and contribute to a culture of technical excellence and continuous learning.
Job Responsibilities:
- Lead the hands-on design, development, and deployment of advanced AI, GenAI, and large language model solutions.
- Serve as a subject matter expert on a wide range of machine learning techniques and optimizations.
- Collaborate with product, engineering, and business teams to deliver scalable, production-ready AI systems.
- Conduct experiments using the latest ML technologies, analyze results, and tune models for optimal performance.
- Own end-to-end code development in Python for both proof-of-concept and production-ready solutions.
- Integrate generative AI within the ML platform using state-of-the-art techniques.
- Drive adoption of modern ML infrastructure, tools, and best practices.
- Optimize system accuracy and performance by identifying and resolving inefficiencies.
- Communicate technical concepts and results to both technical and business stakeholders.
- Ensure responsible AI practices, model governance, and compliance with regulatory standards.
Required Qualifications, Capabilities, and Skills:
- Master's or PhD in Computer Science, Engineering, Mathematics, or a related quantitative field.
- Minimum 3 years of hands-on experience in applied machine learning, including generative AI, large language models, or foundation models.
- Experience programming in Python; experience with ML frameworks such as PyTorch or TensorFlow.
- Proven experience designing, training, and deploying large-scale ML/AI models in production environments.
- Understanding of prompt engineering, agentic workflows, and orchestration frameworks.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed systems (Kubernetes, Ray, Slurm).
- Grasp of MLOps tools and practices (MLflow, model monitoring, CI/CD for ML).
- Strong communication skills with the ability to explain complex technical concepts to diverse audiences.
- Experience applying data science and ML techniques to solve business problems.
- Passion for detail, follow-through, and technical excellence.
Preferred Qualifications, Capabilities, and Skills:
- Experience with high-performance computing and GPU infrastructure (e.g., NVIDIA DCGM, Triton Inference).
- Familiarity with big data processing tools and cloud data services.
- Experience with building and deploying ML models on cloud platforms such as AWS Sagemaker, EKS, etc.
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#CAODA
ABOUT USWe offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Join a world-class data science team at JPMorgan Chase and help shape the future of our Chief Administrative Office. As a leader in applied AI and machine learning, you'll have the opportunity to work on high-impact projects that influence the way we do business across multiple domains. Collaborate with talented colleagues, leverage cutting-edge technologies, and see your work make a tangible difference. We value curiosity, technical excellence, and a passion for solving complex problems. If you're ready to accelerate your career and drive meaningful change, we want to hear from you.
As an Applied AI ML, Senior Associate in the Chief Data & Analytics Office, you will lead the development and deployment of innovative AI and machine learning solutions. You will collaborate with cross-functional teams to address complex business challenges, drive adoption of modern ML practices, and ensure responsible AI governance. You will have the opportunity to work with state-of-the-art technologies and contribute to a culture of technical excellence and continuous learning.
Job Responsibilities:
- Lead the hands-on design, development, and deployment of advanced AI, GenAI, and large language model solutions.
- Serve as a subject matter expert on a wide range of machine learning techniques and optimizations.
- Collaborate with product, engineering, and business teams to deliver scalable, production-ready AI systems.
- Conduct experiments using the latest ML technologies, analyze results, and tune models for optimal performance.
- Own end-to-end code development in Python for both proof-of-concept and production-ready solutions.
- Integrate generative AI within the ML platform using state-of-the-art techniques.
- Drive adoption of modern ML infrastructure, tools, and best practices.
- Optimize system accuracy and performance by identifying and resolving inefficiencies.
- Communicate technical concepts and results to both technical and business stakeholders.
- Ensure responsible AI practices, model governance, and compliance with regulatory standards.
Required Qualifications, Capabilities, and Skills:
- Master's or PhD in Computer Science, Engineering, Mathematics, or a related quantitative field.
- Minimum 3 years of hands-on experience in applied machine learning, including generative AI, large language models, or foundation models.
- Experience programming in Python; experience with ML frameworks such as PyTorch or TensorFlow.
- Proven experience designing, training, and deploying large-scale ML/AI models in production environments.
- Understanding of prompt engineering, agentic workflows, and orchestration frameworks.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed systems (Kubernetes, Ray, Slurm).
- Grasp of MLOps tools and practices (MLflow, model monitoring, CI/CD for ML).
- Strong communication skills with the ability to explain complex technical concepts to diverse audiences.
- Experience applying data science and ML techniques to solve business problems.
- Passion for detail, follow-through, and technical excellence.
Preferred Qualifications, Capabilities, and Skills:
- Experience with high-performance computing and GPU infrastructure (e.g., NVIDIA DCGM, Triton Inference).
- Familiarity with big data processing tools and cloud data services.
- Experience with building and deploying ML models on cloud platforms such as AWS Sagemaker, EKS, etc.
#LI-RB3
#CAODA
ABOUT USWe offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
See All 10 AI ML Engineering Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find AI ML Engineering JobsAI ML Engineering Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
AI ML Engineering Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Fintech
- Food & Beverage
- Technology & Software
- Banking & Financial Services
- Investment & Asset Management
What New Jersey Employers Look For
The qualifications that appear most often in AI ML engineering jobs across New Jersey.
- Bachelor's or master's degree in computer science, statistics, or a closely related field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Experience designing, training, and deploying production-grade machine learning models
- Familiarity with cloud platforms including AWS, Google Cloud, or Microsoft Azure
- Ability to work with large-scale structured and unstructured datasets using SQL or Spark
- Strong communication skills for presenting model findings to non-technical stakeholders
AI ML Engineering Jobs in New Jersey: Frequently Asked Questions
How do you become a ai ml engineering in New Jersey?
The most direct path is a bachelor's degree in computer science, data science, or a related field followed by hands-on project experience in model building and deployment. New Jersey does not require a state-issued license for ai ml engineering roles. Employers across the state, particularly in the pharmaceutical corridor around Princeton and the financial services firms in Newark, consistently hire candidates who can demonstrate applied ML skills through a portfolio, internship, or prior industry work.
Which companies hire ai ml engineerings in New Jersey?
Employers hiring ai ml engineerings in New Jersey right now include JPMorganChase, CVS Health, and Campbell's, based on current listings on Migrate Mate as of September 2026. New Jersey's dense concentration of pharmaceutical headquarters and financial technology firms means hiring tends to cluster around applied research and production ML platforms rather than early-stage experimentation.
Which New Jersey cities have the most ai ml engineering jobs?
Jersey City, New Jersey, and Camden have the most ai ml engineering openings in New Jersey. Newark draws volume from financial services and telecommunications firms headquartered there, Princeton benefits from the pharmaceutical and biotech research corridor that runs through central New Jersey, and Parsippany attracts hiring from large enterprise technology and consulting offices established in Morris County.
Are there remote ai ml engineering jobs in New Jersey?
Yes, and more than most fields. About 33% of ai ml engineering openings tied to New Jersey are remote or hybrid as of September 2026, reflecting how much of the work involves coding, model training, and data analysis rather than on-site equipment. Roles focused on MLOps, data pipeline engineering, and research science tend to offer the most location flexibility.
How can I get hired as a ai ml engineering in New Jersey with little or no experience?
The most realistic entry path is through a machine learning or data engineering internship at one of New Jersey's large pharmaceutical or financial services employers, several of which run structured new-graduate programs. Johnson & Johnson's technology early-career programs and Cognizant's campus hiring in New Jersey both onboard candidates without prior full-time experience. Candidates who build a project portfolio demonstrating model deployment, even on open datasets, and who hold a relevant master's degree gain a clear edge for associate ML engineer or junior data scientist roles that can transition into full ai ml engineering positions.
Where can I find and apply to ai ml engineering jobs in New Jersey?
You can find and apply to ai ml engineering jobs in New Jersey on Migrate Mate, which lists current New Jersey openings across industries and experience levels. Search the available roles, identify the ones that fit your background, and apply directly through each listing.
See All 10 AI ML Engineering Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find AI ML Engineering Jobs