AI ML Engineer Jobs in New Jersey
AI ML Engineer jobs in New Jersey are among the most active in the Northeast, with strong demand from pharma and life sciences, financial services, and enterprise technology firms at every level from entry-level through principal engineer. The largest hiring concentrations are in Jersey City, Princeton, and Parsippany, anchored by established employers like Johnson & Johnson, Cognizant, and Prudential Financial. The most in-demand specialties include natural language processing, computer vision, and ML platform engineering. 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.
#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.
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 12 AI ML Engineer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find AI ML Engineer JobsAI ML Engineer Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
AI ML Engineer Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Investment & Asset Management
- Fintech
- Food & Beverage
- Banking & Financial Services
What New Jersey Employers Look For
The qualifications that appear most often in AI ML engineer jobs across New Jersey.
- Bachelor's or master's degree in computer science, data science, or a closely related field
- Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience designing, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms including AWS, Google Cloud, or Microsoft Azure for ML workloads
- Strong understanding of MLOps practices including model monitoring, versioning, and automated pipelines
- Experience with large-scale data processing tools such as Spark, Hadoop, or SQL-based data warehouses
AI ML Engineer Jobs in New Jersey: Frequently Asked Questions
How do you become a ai ml engineer in New Jersey?
Becoming an ai ml engineer in New Jersey typically starts with a bachelor's degree in computer science, mathematics, or a related quantitative field, with many roles preferring or requiring a master's. There is no state-issued license for this role in New Jersey. Employers focus on demonstrated skills in machine learning frameworks, cloud platforms, and production deployment, so building a portfolio of projects and earning cloud certifications from AWS, Google, or Microsoft strengthens your candidacy considerably.
Which companies hire ai ml engineers in New Jersey?
Employers hiring ai ml engineers in New Jersey right now include JPMorganChase, BNY, and 1Kosmos, based on current listings on Migrate Mate as of September 2026. New Jersey's dense concentration of pharmaceutical headquarters and financial services firms means demand is especially consistent for engineers who can apply ML to drug discovery pipelines, risk modeling, and fraud detection.
Which New Jersey cities have the most ai ml engineer jobs?
The cities with the most ai ml engineer openings in New Jersey are Jersey City, New Jersey, and Camden. Jersey City's proximity to Manhattan draws financial technology and trading firms, Princeton's research corridor attracts pharma and biotech employers, and Parsippany serves as a hub for large enterprise technology and consulting operations that maintain significant New Jersey presences.
Are there remote ai ml engineer jobs in New Jersey?
Yes, and more than most fields. About 50% of ai ml engineer openings tied to New Jersey are remote or hybrid as of September 2026, reflecting how much of the work involves writing code, training models, and analyzing data rather than being on-site. The portions most likely to stay fully remote are model development and experimentation, while roles involving on-premises infrastructure or regulated data environments tend to require at least some in-office presence.
How can I get hired as a ai ml engineer in New Jersey with little or no experience?
The most realistic entry path is a strong portfolio of independent or academic ML projects paired with a relevant degree or cloud certification. Large New Jersey employers like Cognizant and Prudential Financial hire associate data scientists and junior ML engineers as entry points. Lateral moves from data analyst or software engineer roles are common. Contributing to open-source ML projects and earning an AWS or Google Cloud machine learning certification gives candidates a measurable edge when competing for first roles.
Where can I find and apply to ai ml engineer jobs in New Jersey?
You can find and apply to ai ml engineer jobs in New Jersey on Migrate Mate, which lists current New Jersey openings. Find roles that fit your background and apply directly to the ones that match.
See All 12 AI ML Engineer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find AI ML Engineer Jobs