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Applied Machine Learning Jobs in New Jersey (NOW HIRING)

Pearson

Lead Specialist, AI Scientist

Hoboken, NJ · On-site

Strong experience with applied machine learning, Generative AI, LLMs, RAG architectures, recommendation systems, knowledge graphs, or agentic AI solutions. * Hands-on experience building and ...

Pearson

Lead Specialist, AI Scientist

Hoboken, NJ · On-site

Strong experience with applied machine learning, Generative AI, LLMs, RAG architectures, recommendation systems, knowledge graphs, or agentic AI solutions. * Hands-on experience building and ...

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All JobsApplied Machine Learning JobsApplied Machine Learning Jobs in New Jersey

Applied Machine Learning information

See New Jersey salary details

$25.9K

$43.2K

$89.3K

How much do applied machine learning jobs pay per year?

As of Aug 7, 2026, the average yearly pay for applied machine learning in New Jersey is $43,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $46,700.00 per year, depending on experience, location, and employer.

What are the typical collaboration dynamics between applied machine learning engineers and other teams within a company?

Applied Machine Learning engineers often work closely with cross-functional teams including data scientists, software engineers, product managers, and business analysts. They are typically responsible for translating business problems into machine learning solutions and ensuring models are effectively integrated into production systems. This role requires frequent communication to align on project goals, share progress, and address technical challenges, making teamwork and stakeholder management crucial for successful deployments and continuous improvement.

What is applied machine learning?

Applied machine learning involves using machine learning techniques and algorithms to solve real-world problems in various industries, such as healthcare, finance, and technology. Practitioners focus on selecting appropriate models, preparing data, training algorithms, and deploying solutions that deliver tangible value. Unlike theoretical machine learning, applied machine learning emphasizes practical implementation, evaluation, and optimization to meet business or research objectives.

What are the key skills and qualifications needed to thrive as an applied machine learning professional?

To excel in Applied Machine Learning, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a relevant degree or certification. Familiarity with programming languages like Python or R, frameworks such as TensorFlow or PyTorch, and version control systems is typically required. Strong problem-solving abilities, communication skills, and a collaborative mindset help you interpret results and convey insights to diverse stakeholders. These competencies are crucial for building effective models, driving data-driven decisions, and ensuring the successful integration of machine learning solutions into real-world applications.
What are the most commonly searched types of Applied Machine Learning jobs in New Jersey? The most popular types of Applied Machine Learning jobs in New Jersey are:
What are popular job titles related to Applied Machine Learning jobs in New Jersey? For Applied Machine Learning jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Applied Machine Learning jobs in New Jersey look for? The top searched job categories for Applied Machine Learning jobs in New Jersey are:
Applied Machine Learning jobs near you
Infographic showing various Applied Machine Learning job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $43,232 per year, or $20.8 per hour.

Applied AI ML Lead - Agent Builder Platform

J.P. Morgan

Jersey City, NJ

Full-time

Medical, Retirement

Posted 6 days ago

Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Help shape how teams across the firm build and deploy agentic artificial intelligence products - at scale, with quality, and with measurable impact. You will work on a high-visibility platform that accelerates engineering teams, raises delivery standards, and turns complex business needs into reliable production outcomes. Join a team where strong engineering, thoughtful collaboration, and continuous learning are core to how we operate.

As a Applied AI and Machine Learning Lead  - Agent Builder Platform at JPMorganChase within Enterprise Technology, AI and Machine Learning & Data Platforms, you will lead the technical design and delivery of agentic AI products and platform capabilities used by engineering teams across the organization. You will translate high-impact business problems into production-grade solutions, from discovery and design through deployment and ongoing operations. You will set a high engineering quality bar while partnering closely with product and stakeholder groups to deliver measurable outcomes.

Job responsibilities

  • Lead end-to-end delivery of agentic AI and large language model-powered use cases from problem framing and technical design through production deployment and monitoring.
  • Own core platform services and reusable components that enable teams to build, evaluate, and operate AI agents safely at scale.
  • Establish engineering standards through hands-on system design, rigorous code review, and mentorship to improve reliability, maintainability, and developer experience.
  • Build and operationalize evaluation, testing, and observability capabilities (tracing, metrics, logs, and analytics) to continuously improve solution quality.
  • Implement robust safety and governance patterns, including guardrails, access controls, and audit-ready operational practices aligned to enterprise expectations.
  • Partner with product managers and stakeholders to shape roadmaps, define success metrics, and prioritize work that delivers measurable business impact.
  • Drive cross-functional alignment across engineering, data, security, and risk partners to ensure solutions are secure, stable, and scalable.
  • Contribute to technical documentation, reference implementations, and enablement content that accelerates adoption and responsible usage.

Required qualifications, capabilities and skills

  • Formal training or certification on applied artificial intelligence and machine learning concepts and 5+ years applied experience
  • Advanced proficiency in Python with strong software engineering fundamentals, including testing, design patterns, version control, and code review practices.
  • Hands-on experience building, evaluating, and deploying machine learning or large language model-enabled systems into production environments.
  • Practical experience with prompt engineering and retrieval-augmented generation, including evaluation methods and quality measurement.
  • Experience designing and operating reliable services, including incident response readiness, performance tuning, and operational stability for data-intensive systems.
  • Demonstrated ability to lead technical decisions and deliver outcomes through ambiguity, balancing speed, risk, and long-term maintainability.
  • Strong communication skills with the ability to explain technical trade-offs to both technical and non-technical stakeholders.

Preferred qualifications, capabilities and skills

  • Experience with agent orchestration frameworks (for example, LangGraph, LlamaIndex, Google ADK or custom orchestration) and evaluation tooling for large language model systems.
  • Experience with continuous integration and continuous delivery practices and containerization (Docker and Kubernetes) for production deployments.
  • Familiarity with vector databases, embedding pipelines, or graph-based memory approaches used in retrieval-augmented generation solutions.
  • Experience with cloud and machine learning platforms (for example, Amazon Web Services, Databricks, or comparable platforms).
  • Experience contributing to AI governance, validation approaches, or guardrail frameworks in enterprise settings.

#LI-RB3

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We 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.

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