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Commission Applied Intelligence Jobs (NOW HIRING)

Applied AI ML Researcher Lead

Palo Alto, CA · On-site +1

$191K/yr

The Applied Artificial Intelligence and Machine Learning team in Commercial and Investment Banking ... Those in eligible roles may receive commission-based pay and/or discretionary incentive ...

Senior Apps Applied Scientist

Cupertino, CA · On-site +1

$181K - $318K/yr

... intelligence, improve automation, and expand our AI-driven capabilities across business domains ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Senior Apps Applied Scientist

Cupertino, CA · On-site +1

$181K - $318K/yr

... intelligence, improve automation, and expand our AI-driven capabilities across business domains ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Senior Apps Applied Scientist

Cupertino, CA · On-site +1

$181K - $318K/yr

... intelligence, improve automation, and expand our AI-driven capabilities across business domains ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

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Commission Applied Intelligence information

See salary details

$45.5K

$104.6K

$144K

How much do commission applied intelligence jobs pay per year?

As of Jun 27, 2026, the average yearly pay for commission applied intelligence in the United States is $104,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $118,500.00 per year, depending on experience, location, and employer.

Are intelligence jobs high paying?

Commission Applied Intelligence roles typically offer competitive salaries, especially for professionals with strong analytical skills, experience in data analysis, and proficiency with AI tools. Compensation varies based on experience, location, and the complexity of the projects involved, but these jobs often include performance-based incentives. Overall, intelligence-related roles tend to be well-paying within the tech and data sectors.

What are the requirements for MI6?

To work in a role related to intelligence at MI6, candidates typically need British citizenship, a strong academic background, and relevant experience in areas such as foreign languages, technology, or security. Applicants must pass security and background checks, and often require excellent communication skills and the ability to work under pressure.

How much do CIA analysts get paid?

CIA analysts typically earn between $60,000 and $120,000 annually, depending on experience, education, and rank. Salaries are complemented by benefits such as healthcare, retirement plans, and opportunities for career advancement within the agency.

What is the difference between Commission Applied Intelligence vs Data Analyst?

AspectCommission Applied IntelligenceData Analyst
Required CredentialsRelevant certifications in applied intelligence, data analysis, or related fieldsBachelor's or master's in data science, statistics, or related fields
Work EnvironmentBusiness settings, sales teams, or financial sectors focusing on commission strategiesOffice environments, analyzing data sets, creating reports
Employer & Industry UsageSales organizations, financial firms, marketing agenciesTech companies, consulting firms, corporate analytics departments
Search & Comparison IntentUnderstanding roles related to commission strategies and intelligenceAnalyzing data to inform business decisions

Commission Applied Intelligence focuses on leveraging data to optimize commission strategies within sales and financial sectors, often requiring specialized certifications. Data Analysts interpret data to support decision-making across various industries. While both roles involve data skills, Commission Applied Intelligence emphasizes commission-related insights, whereas Data Analysts have a broader scope in data analysis.

Which 3 jobs will survive AI?

Commission Applied Intelligence professionals are likely to find roles in areas requiring complex decision-making, strategic planning, and human judgment that AI cannot easily replicate. Jobs involving creative problem-solving, interpersonal communication, and oversight of AI systems are expected to persist. Skills in data analysis, critical thinking, and domain expertise will remain valuable in these roles.
More about Commission Applied Intelligence jobs
What cities are hiring for Commission Applied Intelligence jobs? Cities with the most Commission Applied Intelligence job openings:
What are the most commonly searched types of Applied Intelligence jobs? The most popular types of Applied Intelligence jobs are:
What states have the most Commission Applied Intelligence jobs? States with the most job openings for Commission Applied Intelligence jobs include:
Infographic showing various Commission Applied Intelligence job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 62% Physical, 1% Hybrid, and 37% Remote job distribution, with an average salary of $104,643 per year, or $50.3 per hour.
Applied AI ML Researcher Lead

Applied AI ML Researcher Lead

JP Morgan Chase

Palo Alto, CA • On-site, Remote

$191K/yr

Full-time

Medical, Retirement

Posted 18 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 470 frontline employees who took The Breakroom Quiz

46th of 142 rated banks


Job description

Our goal is to build the next generation of AI: autonomous agentsthat can reason, plan,act,and learnto solve criticalproblemsfor an industry leading financial institution. Weare looking for architects who will definethe future of banking through Agentic AI.The Applied Artificial Intelligence and Machine Learning team in Commercial and Investment Banking is transformingoperationsbyleveragingthe latest advancements inagentic AI andfrontier 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.

#LI-RB3

#CIBAppliedAI

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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