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Money Tree Jobs in California (NOW HIRING)

Tenet Health

Admin Secretary

Joshua Tree, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Center in Joshua Tree. The hospital network provides advanced care with services such as ... Money is handled with accuracy. * Keeps the lobby neat by looking for trash, calling for ...

Tenet Health

Admin Secretary

Joshua Tree, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Center in Joshua Tree. The hospital network provides advanced care with services such as ... Money is handled with accuracy. * Keeps the lobby neat by looking for trash, calling for ...

Zip

Senior Product Designer, Global Payments

San Francisco, CA · On-site

$160K - $220K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... Tree, and more. Together they've saved over $8 billion and processed over $500 billion in spend ... moves money for Zip's customers worldwide: over $30 billion in payouts and counting. The team is ...

Blue State

Contract UX Designer (Evergreen)

Oakland, CA · On-site

$85 - $110/hr

... money, influence policy, build platforms, and grow communities of supporters. Led by the most ... tree testing. * Synthesize and present research findings through user personas, user journeys ...

TabaPay

Fraud & Risk Engineer

Palo Alto, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We help thousands of Fintechs in the US and Canada instantly move money in and out of accounts and ... Craft precise risk decisioning workflows for all individual rules as well as the decision tree ...

PayPal, Inc.

Machine Learning Engineer

San Jose, CA · On-site

  • Medical

  • PTO

Creating innovative experiences that make moving money, selling, and shopping simple, personalized ... and tree-based models. Work with large volumes of data, including extracting insights and ...

Socket.dev

Machine Learning Engineer

San Jose, CA · On-site

$188 - $271/hr

  • Medical

  • PTO

Creating innovative experiences that make moving money, selling, and shopping simple, personalized ... and tree-based models. Work with large volumes of data, including extracting insights and ...

PayPal

Machine Learning Engineer

San Jose, CA · On-site

$188 - $271/hr

  • Medical

  • PTO

Creating innovative experiences that make moving money, selling, and shopping simple, personalized ... and tree-based models. Work with large volumes of data, including extracting insights and ...

PayPal

Machine Learning Engineer

San Jose, CA · On-site

  • Medical

  • PTO

Creating innovative experiences that make moving money, selling, and shopping simple, personalized ... and tree-based models. Work with large volumes of data, including extracting insights and ...

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Showing results 21-39

All JobsMoney Tree JobsMoney Tree Jobs in California

Money Tree information

See California salary details

$12

$24

$35

How much do money tree jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for money tree in California is $24.49, according to ZipRecruiter salary data. Most workers in this role earn between $20.14 and $27.74 per hour, depending on experience, location, and employer.

What is a money tree?

Money trees are a popular type of houseplant, scientifically known as Pachira aquatica. They are believed to bring good luck, prosperity, and positive energy according to Feng Shui principles. Money trees are easy to care for, featuring braided trunks and bright green leaves, making them an attractive addition to homes and offices. While not related to actual money, many people gift them during special occasions to wish wealth and success.

What are some common challenges faced by financial advisors when helping clients build long-term wealth?

Financial advisors often navigate challenges such as fluctuating market conditions, changing client goals, and varying risk tolerances. They must stay informed about investment products and regulatory changes while ensuring clear communication with clients. Building trust and managing client expectations are key to fostering long-lasting relationships and achieving positive financial outcomes.

What is the difference between Money Tree vs Financial Advisor?

AspectMoney TreeFinancial Advisor
CredentialsMay require licenses like Series 7 or 66Often holds CFP, CFA, or ChFC certifications
Work EnvironmentFinancial institutions, banks, or investment firmsIndependent or firm-based, client-facing
Industry UsageUsed in banking and investment sectorsUsed across finance, wealth management, and investment planning
Common Search/ComparisonYesYes

Money Tree typically refers to a financial product or a brand name, whereas a Financial Advisor is a professional providing personalized financial planning and investment advice. While both are involved in finance, the Financial Advisor offers tailored services, often requiring specific certifications, and works directly with clients to meet their financial goals.

What are popular job titles related to Money Tree jobs in California?

For Money Tree jobs in California, the most frequently searched job titles are:

What job categories do people searching Money Tree jobs in California look for?

The top searched job categories for Money Tree jobs in California are:

What cities in California are hiring for Money Tree jobs?

Cities in California with the most Money Tree job openings:

Money Tree jobs near you
Infographic showing various Money Tree job openings in California as of August 2026, with employment types broken down into 1% As Needed, 35% Full Time, 59% Part Time, 2% Temporary, and 3% Contract. Highlights an 92% Physical, and 8% Remote job distribution, with an average salary of $50,935 per year, or $24.5 per hour.

AI Scientist Consumer Risk & Fraud *** Direct End Client ***

Projas Technologies, LLC

Sunnyvale, CA • On-site

Other

Re-posted 19 days ago

Job description

We re seeking a seasoned AI Scientist to lead the development of advanced fraud detection and credit risk models for next-generation financial products. This role combines deep technical expertise with strategic thinking to build scalable, production-ready AI solutions that safeguard money movement systems and lending platforms.

What You ll Do
  • Own the end-to-end lifecycle of fraud risk models from design and development to deployment and monitoring.
  • Build efficient data pipelines for feature engineering, model training, scoring, and reporting using Python and SQL.
  • Apply cutting-edge machine learning techniques (deep learning, tree-based models, NLP, time series, causal inference) to detect fraud patterns.
  • Collaborate with product, engineering, and risk teams to align models with business objectives and compliance standards.
  • Ensure model fairness, interpretability, and regulatory compliance in all deployments.
  • Research and implement innovative AI/ML approaches to improve detection accuracy and scalability.
  • Contribute to MLOps best practices, including automated retraining, monitoring, and version control.
Required Qualifications
  • Advanced degree (MS/PhD) in Computer Science, Data Science, AI, Statistics, or related field.
  • 6+ years of experience in AI/ML model development and deployment.
  • Strong proficiency in Python and SQL.
  • Expertise in fraud risk modeling, credit risk, and financial transaction systems.
  • Hands-on experience with ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS or Google Cloud Platform).
  • Deep understanding of model calibration, bias correction, and graph-based fraud detection.
  • Proven ability to design scalable pipelines and work in agile environments.
Preferred Skills
  • Experience with Vertex AI, SageMaker, or similar MLOps platforms.
  • Familiarity with workflow orchestration tools (Apache Airflow).
  • Strong background in A/B testing and statistical experimentation.
Why This Role Matters

You ll be solving complex, high-impact problems that protect customers and enable secure financial transactions. If you thrive in fast-paced environments and love applying AI to real-world challenges, this is your opportunity to make a measurable difference.

AI Scientist, Machine Learning Engineer, Fraud Detection, Credit Risk Modeling, Python, SQL, TensorFlow, PyTorch, Deep Learning, NLP, Time Series Analysis, MLOps, Vertex AI, SageMaker, Apache Airflow, Big Data, Financial Risk, Cloud Computing, AWS, Google Cloud Platform, Data Pipelines, Model Deployment, Risk Analytics, Graph Analysis, Fraud Prevention, Fintech AI, Predictive Modeling, Statistical Analysis, CI/CD, Kubernetes, Data Engineering

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