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Applied Machine Learning Jobs in New Jersey (NOW HIRING)

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Applied Scientist

Newark, NJ · On-site

Machine Learning, Computer Science, Computer Engineering, Data Science, Applied Math, or a related quantitative field - 3+ years of experience in Deep Learning, Natural Language - Processing ...

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Applied Machine Learning information

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$25.9K

$43.2K

$89.3K

How much do applied machine learning jobs pay per year?

As of Aug 8, 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 Researcher Lead

慨正橡扯

Jersey City, NJ • On-site

$130 - $170/hr

Other

Medical, Retirement

Re-posted 20 hours ago

Job description

JOB DESCRIPTION

Our goal is to build the next generation of AI: autonomous agents that can reason, plan, act, and learn to solve critical problems for an industry leading financial institution. We are looking for architects who will define the future of banking through Agentic AI. The Applied Artificial Intelligence and Machine Learning team in Commercial and Investment Banking is transforming operations by leveraging the latest advancements in agentic AI and frontier models.

As an Applied Artificial Intelligence and Machine Learning Lead at JPMorganChase within the Applied AI Research team in Commercial and Investment Banking, you will help build autonomous agent systems that can reason, plan, act, and learn to solve high-impact business problems. You will bridge cutting-edge research and enterprise-grade delivery, shaping how applied AI is designed, evaluated, and deployed at scale. You will partner closely with business and technology stakeholders to translate priority needs into measurable outcomes, while raising engineering and scientific standards across the team.

Job Responsibilities
  • Architect and deliver generative artificial intelligence and agent-based solutions that automate complex operational workflows end-to-end
  • Translate priority business problems into research and engineering plans, success metrics, and scalable solution designs
  • Build multi-agent systems that collaborate reliably, coordinate tasks, and improve over time through feedback and evaluation
  • Design reusable services, libraries, and reference architectures that accelerate adoption across applied AI teams
  • Establish rigorous experimentation practices, including offline/online evaluation, ablation testing, and error analysis, to drive measurable improvements
  • Mentor and develop applied AI engineers and researchers, fostering a culture of scientific rigor, ownership, and continuous learning
  • Partner with stakeholders across business and technology teams to scale solutions responsibly, balancing performance, reliability, and security
Required Qualifications, Capabilities, and Skills
  • Formal training or certification on applied artificial intelligence and machine learning concepts and 5+ years applied experience
  • Advanced degree (Master's or Doctorate) in Computer Science, Machine Learning, Statistics, or a related quantitative field
  • Demonstrated experience designing experiments and evaluations for machine learning systems, including clear metrics and reproducible results
  • Proven track record deploying machine learning applications into production environments with operational excellence (monitoring, reliability, and lifecycle management)
  • Strong software engineering skills in modern programming languages and machine learning frameworks, with experience building reusable components
  • Experience with distributed computing patterns for training and serving, and with state management for agent workflows
  • Ability to lead through influence across cross-functional teams, translating complex technical topics for varied audiences
Preferred Qualifications, Capabilities, and Skills
  • Experience building and evaluating autonomous agent systems (planning, tool-use, orchestration, and multi-agent coordination)
  • Experience with cloud-based machine learning platforms, such as Amazon Web Services (AWS) SageMaker or Amazon Bedrock
  • Publications, open-source contributions, or other evidence of applied research impact in machine learning or generative artificial intelligence
  • Familiarity with financial services domains and operational processes, including risk-aware design and production constraints

FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

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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