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$59

How much do artificial intelligence machine learning jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for artificial intelligence machine learning in Berkeley, CA is $32.26, according to ZipRecruiter salary data. Most workers in this role earn between $26.20 and $34.13 per hour, depending on experience, location, and employer.

What is an Artificial Intelligence Machine Learning job?

An Artificial Intelligence Machine Learning (AI/ML) job involves developing algorithms and models that enable machines to learn and make decisions without explicit programming. Professionals in this field work with large datasets, build predictive models, and optimize AI systems for tasks like natural language processing, computer vision, and automation. They often use programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and cloud platforms for deploying models. AI/ML jobs can be found in industries like healthcare, finance, robotics, and cybersecurity, aiming to improve efficiency and decision-making through intelligent systems.

What are some typical projects or tasks an Artificial Intelligence Machine Learning professional might work on?

As an Artificial Intelligence Machine Learning professional, you may develop and fine-tune predictive models, process large datasets, and use algorithms to extract actionable insights. Your projects could include designing recommendation systems, automating decision-making processes, or deploying machine learning models into production environments. Collaboration with software engineers, data scientists, product managers, and business stakeholders is common to ensure technology solutions align with organizational objectives. You might also be involved in continuous model evaluation and improvements to enhance accuracy and efficiency over time.

What are the key skills and qualifications needed to thrive in the Artificial Intelligence Machine Learning position, and why are they important?

To excel in an Artificial Intelligence Machine Learning role, you need a solid background in mathematics, statistics, programming (typically Python or R), 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 like TensorFlow Developer or AWS Certified Machine Learning are commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset are crucial soft skills. These competencies enable professionals to develop effective AI solutions, navigate complex data challenges, and work seamlessly with cross-functional teams.

What is AI ML salary?

The salary for artificial intelligence and machine learning professionals varies based on experience, location, and skill level, but typically ranges from $80,000 to over $150,000 annually. Entry-level roles may start around $70,000, while experienced specialists with advanced skills in deep learning, data analysis, and programming can earn higher salaries, especially in tech hubs or companies with specialized AI projects.

What jobs can I get with AI ML?

With AI and ML skills, you can pursue roles such as AI Engineer, Machine Learning Engineer, Data Scientist, Deep Learning Engineer, and AI Research Scientist. These positions typically require knowledge of programming languages like Python, experience with frameworks such as TensorFlow or PyTorch, and a strong understanding of algorithms and data analysis.

Is AI ML a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. Continuous learning and staying updated with new developments are important for long-term career growth.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, chief AI officers, or senior machine learning executives, often requiring advanced expertise, leadership skills, and extensive experience. These positions usually involve strategic decision-making, overseeing AI development projects, and may require advanced degrees and industry certifications. Compensation at this level reflects significant responsibility and impact within organizations or tech companies.
What are popular job titles related to Artificial Intelligence Machine Learning jobs in Berkeley, CA? For Artificial Intelligence Machine Learning jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning jobs in Berkeley, CA look for? The top searched job categories for Artificial Intelligence Machine Learning jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Artificial Intelligence Machine Learning jobs? Cities near Berkeley, CA with the most Artificial Intelligence Machine Learning job openings:
Artificial Intelligence Machine Learning jobs near you
Infographic showing various Artificial Intelligence Machine Learning job openings in Berkeley, CA as of July 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $67,104 per year, or $32.3 per hour.
Senior Quant, Artificial Intelligence/Machine Learning

Senior Quant, Artificial Intelligence/Machine Learning

US Bank

San Francisco, CA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 359 frontline employees who took The Breakroom Quiz

52nd of 170 rated banks

Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

We're looking for a sharp individual contributor who's adept at advanced AI/ML algorithms and their applications in financial institutions to join our AI/ML Validation Center of Excellence in Model Risk Management. The team plays a critical role in providing oversight to U.S. Bank's Artificial Intelligence Models across various business areas, such as Marketing, Fraud, Credit Risk and Bank Operations.

As a Senior Quant you will develop benchmark AI/ML models, provide validation expertise and consulting services related to AI/ML model development and model review, including best practices on algorithm development and selection, performance evaluation, implementation, monitoring, model risk mitigation and remediation. In addition, you will be responsible for conducting R&D for various AI/ML methodologies and their potential applications and use cases.

Deliverables include reviewing model development documentation, independently testing of advanced AI/ML and Generative AI & Agentic AI models, developing technical guidance documents, training curriculum and white paper, and communicating model requirements and validation outcome to stakeholders within the Bank.

Basic Qualifications
- Bachelor's degree in a quantitative field, and 10 or more years of relevant experience
OR
- MA/MS in a quantitative field, and six or more years of related experience
OR
- PhD in a quantitative field, and five or more years of related experience
Preferred Skills/Experience

- Strong statistical modeling or computer science background and hands on model development or validation skills

- Strong programming skillsusing Python packages such as Numpy, Pandas, and scikit-learn.

- Considerable knowledge of various machine learning algorithms and their applications, including Random Forest, GBM, XGBoost, deep learning, NLP, computer vision, and LLM.

- Hands-on experience designing, developing, and deploying advanced deep learning architectures, including MLPs, RNNs, CNNs, and other state-of-the-art neural network frameworks for a wide range of AI and machine learning applications.

- Deep expertise in advanced Agentic AI architectures and orchestration patterns, including function calling, MCP, SKILLs, A2A, context engineering, harness engineering, loop engineering, and other emerging frameworks for building scalable, multi-agent AI systems.

- Strong expertise in building, deploying, and evaluating GenAI and Agentic AI solutions, including RAG, multi-agent systems, tool-augmented workflows, and advanced evaluation techniques such as adversarial testing, semantic similarity analysis, retrieval assessment, and LLM-as-a-Judge methodologies.

- Hands-on experience with modern AI development, deployment, and evaluation ecosystems, including PyTorch, TensorFlow/Keras, Hugging Face Transformers, LangChain, LangGraph, OpenAI Agent SDK, AI-assisted development platforms such as Claude Code and GitHub Copilot, and LLM evaluation frameworks including DeepEval, LlamaIndex, Ragas, and other comparable tools.

- Familiarity with cloud-based AI platforms and services, including AWS Bedrock, Azure AI, Microsoft Copilot, Google Vertex AI, vector databases, and model serving/inference platforms.

- Research experience and publications on AI or Gen AI are preferred

- Experience in financial industry is preferred but not required

- Advanced understanding of Model Risk Management and OCC SR 26-2 is a plus

- Demonstrated independence, teamwork and leadership skills
- Strong project management skills
- Excellent written and verbal communication skills

LOCATION EXPECTATIONS: This role requires working from a U.S. Bank Location three (3) or more days per week.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.

What U.S. Bank employees say

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

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