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Artificial Intelligence Machine Learning Engineer Jobs in Wayne, NJ

SageSure

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$127K - $168K/yr

As a Senior Machine Learning Engineer, you'll play a crucial role in optimizing orchestration ... Our Data organization brings together Data Science, Business Intelligence, and Data Management to ...

Goodfire

Machine Learning Engineer

Manhattan, NY · On-site

They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to various aspects such as ...

PhysicsX

Machine Learning Engineer

New York, NY · On-site

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

Goodfire

Machine Learning Engineer

Manhattan, NY · On-site

They are seeking Machine Learning Engineers to build a platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to the development of core technology and ...

Fox

Machine Learning Engineer I

New York, NY · Hybrid

$74K - $130K/yr

ABOUT THE ROLE As a Machine Learning Engineer in FOX Forward Deployed, you will rotate across two ... From sports video intelligence and newsroom AI to ranking, retrieval, and monetization systems, you ...

Virtu Financial

Machine Learning Engineer

New York, NY · On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a ... Intellectually curious and self-driven - you proactively identify problems worth solving, not just ...

Virtu Financial

Machine Learning Engineer

New York, NY · On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a ... Intellectually curious and self-driven - you proactively identify problems worth solving, not just ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Wayne, NJ

Artificial Intelligence Machine Learning Engineer information

See Wayne, NJ salary details

$31.1K

$127K

$190.9K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for artificial intelligence machine learning engineer in Wayne, NJ is $127,032.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $152,900.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Wayne, NJ look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Wayne, NJ are:
What cities near Wayne, NJ are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities near Wayne, NJ with the most Artificial Intelligence Machine Learning Engineer job openings:
Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Wayne, NJ as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 27% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $127,032 per year, or $61.1 per hour.

AI/ML Governance Lead - Vice President

JPMorgan Chase & Co

Jersey City, NJ • On-site

Full-time

Medical, Retirement

Re-posted 15 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks

Job description

Join a team shaping responsible use of artificial intelligence, machine learning, and generative AI in a highly regulated environment. You will translate policy into practical processes, controls, and scalable tooling. You will provide transparency through executive reporting and help prepare responses for audit, regulatory, and client requests.


As an AI/ML Governance Lead - Vice President within the Commercial & Investment Bank's Digital, Data and Artificial Intelligence organization, you will help set and execute the governance framework that enables responsible adoption of artificial intelligence, machine learning, and generative AI. You will partner closely with risk, legal, compliance, and technology stakeholders to translate policy into clear processes, controls, and scalable tooling. You will drive transparency through executive reporting and ensure the organization is prepared for audit, regulatory, and client requests.

Job responsibilities

  • Support the definition and adoption of the in-business analytics ownership operating model, including clear roles, responsibilities, and decision rights across stakeholders
  • Maintain and continuously improve artificial intelligence and machine learning governance documentation (procedures, charters, operating models, and job aids), including managing periodic reviews and refresh cycles
  • Partner with data science, architecture, engineering, and data stakeholders to assess impacts of new policies, standards, and procedures, and translate requirements into actionable implementation plans
  • Coordinate and drive end-to-end execution of Commercial & Investment Bank-wide rollout plans, including communications, milestones, dependencies, and adoption tracking
  • Design and build executive-ready governance reporting and dashboards that provide clear visibility into adherence, risk themes, and remediation progress
  • Partner with controls management to identify, document, and monitor artificial intelligence and machine learning risks, issues, and actions through established governance forums
  • Serve as a liaison and quality control point for audit, regulatory, and client inquiries, ensuring responses are accurate, consistent, and supported by evidence
  • Enhance and streamline governance by helping define and execute the strategic roadmap for governance tooling, including requirements definition and process standardization
  • Facilitate working sessions and stakeholder forums to drive alignment, resolve blockers, and promote consistent best practices across lines of business

Required qualifications, capabilities and skills

  • Formal training or certification on artificial intelligence and machine learning governance concepts and 5+ years applied experience
  • Experience delivering or governing artificial intelligence, machine learning, and generative AI solutions within financial services or a highly regulated environment
  • Demonstrated ability to partner effectively with senior stakeholders across risk, legal, compliance, controls, business, and technology teams
  • Strong written, verbal, and presentation skills, including advanced proficiency with Microsoft Excel and PowerPoint
  • Strong analytical and problem-solving skills, with the ability to translate complex requirements into practical processes and controls
  • Proven ability to influence across teams, build consensus, and drive adoption without direct authority
  • Strong attention to detail with an ability to manage multiple initiatives, deadlines, and changes in priorities
  • Strong interpersonal skills and the ability to operate effectively in a fast-moving, evolving environment

Preferred qualifications, capabilities and skills

  • Experience with data visualization and analytics tools such as Tableau, Qlik, or Alteryx
  • Familiarity with model risk management concepts and governance expectations for machine learning models
  • Knowledge of banking, markets, and trading, and how analytics is applied across those domains
  • Experience building executive reporting routines, metrics, and dashboards that support governance and control outcomes
  • Exposure to governance tooling implementation, workflow design, or controls automation initiatives
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

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

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