How much do Data & Analytics jobs in Santa Clara, CA pay?

Based on 11 listings with disclosed salaries, most data & analytics jobs in Santa Clara, CA pay between $161k–$304k per year. Individual offers vary with seniority, company size, and specialization.

How many Data & Analytics jobs are open in Santa Clara, CA right now?

There are currently 12 open data & analytics positions in Santa Clara, CA listed on Clera. New openings are added daily as companies post roles.

Which companies are hiring for Data & Analytics roles in Santa Clara, CA?

Companies currently hiring include NVIDIA, Hewlett Packard Enterprise, Amazon, Applied Materials, Ericsson, among others. Browse the listings above to see every active employer.

Are there remote or hybrid Data & Analytics jobs in Santa Clara, CA?

Yes — 11 of the 12 open data & analytics positions offer remote or hybrid work (3 remote, 8 hybrid).

How do I apply for Data & Analytics jobs in Santa Clara, CA?

Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.

$161k–$304k Data & Analytics Jobs in Santa Clara, CA

We are the Monetization Ranking AI Research organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI and ML technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML advancements, we help Meta’s products achieve long-term goals and have contributed tens of billions in revenue. With our growing impact, we’re seeking motivated AI specialists to join our team and drive SOTA research across the Monetization organization.

Responsibilities

Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques
Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability
Develop and apply NextGen sequence learning techniques to drive advancements in natural language processing and understanding
Design and implement generative modeling solutions for data augmentation
Research and develop graph-aware large language models
Develop and deploy AutoML pipelines
Apply Reinforcement Learning (RL) techniques, including long-term value optimization, RLHF, and RL4Reason
Use causal learning to identify and understand the cause and effect of relationships across data
Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains
Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
2+ years of experience holding an industry, faculty, or government researcher or applied researcher position, or related position
Research experience in deep learning, reinforcement learning, natural language processing, computer vision, recommendations, ranking, search, or related areas
Programming experience in Python and hands-on experience with frameworks such as PyTorch
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.
Experience working and communicating cross functionally in a team environment.
First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL).
Master's degree or PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field.
Experience taking ideas from research to production.
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

$154,003/year to $217,000/year + bonus + equity + benefits

Responsibilities

Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques
Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability
Develop and apply NextGen sequence learning techniques to drive advancements in natural language processing and understanding
Design and implement generative modeling solutions for data augmentation
Research and develop graph-aware large language models
Develop and deploy AutoML pipelines
Apply Reinforcement Learning (RL) techniques, including long-term value optimization, RLHF, and RL4Reason
Use causal learning to identify and understand the cause and effect of relationships across data
Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains
Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
2+ years of experience holding an industry, faculty, or government researcher or applied researcher position, or related position
Research experience in deep learning, reinforcement learning, natural language processing, computer vision, recommendations, ranking, search, or related areas
Programming experience in Python and hands-on experience with frameworks such as PyTorch
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.
Experience working and communicating cross functionally in a team environment.
First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL).
Master's degree or PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field.
Experience taking ideas from research to production.
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

$154,003/year to $217,000/year + bonus + equity + benefits

Data & Analytics Jobs in Santa Clara, CA (Now Hiring) — 12 open

Research Engineer, Monetization AI

Global Marketing Operations Business Partner

Marketing Program Manager

Partner Content Governance Lead

Lead Product Manager

Sr. Product Manager

Director, IT Advanced Analytics and Data Solutions

Staff Software Engineer in Test (SDET)

Server Platform Architect

Principal Product Manager

Principal Product Manager

Senior Program Manager, Architecture Review Board

Research Scientist, Efficient Deep Learning - New College Grad 2026

Solutions Architect, Financial Services Capital Markets

Senior Developer Relations Manager — Security and AI Software

Principal Product Manager

Sr. Manager, Corporate FP&A

Software Engineering Manager

Senior Director, Enterprise AI & Automation

Demand Planner

Frequently asked questions

How much do Data & Analytics jobs in Santa Clara, CA pay?

How many Data & Analytics jobs are open in Santa Clara, CA right now?

Which companies are hiring for Data & Analytics roles in Santa Clara, CA?

Are there remote or hybrid Data & Analytics jobs in Santa Clara, CA?

How do I apply for Data & Analytics jobs in Santa Clara, CA?

Data & Analytics jobs in other cities

Other jobs in Santa Clara, CA

Research Engineer, Monetization AI

Job description

Tools

Explore

Company

Tools

Explore

Company

Data & Analytics Jobs in Santa Clara, CA (Now Hiring) — 12 open

Research Engineer, Monetization AI

Global Marketing Operations Business Partner

Marketing Program Manager

Partner Content Governance Lead

Lead Product Manager

Sr. Product Manager

Director, IT Advanced Analytics and Data Solutions

Staff Software Engineer in Test (SDET)

Server Platform Architect

Principal Product Manager

Principal Product Manager

Senior Program Manager, Architecture Review Board

Research Scientist, Efficient Deep Learning - New College Grad 2026

Solutions Architect, Financial Services Capital Markets

Senior Developer Relations Manager — Security and AI Software

Principal Product Manager

Sr. Manager, Corporate FP&A

Software Engineering Manager

Senior Director, Enterprise AI & Automation

Demand Planner

Frequently asked questions

How much do Data & Analytics jobs in Santa Clara, CA pay?

How many Data & Analytics jobs are open in Santa Clara, CA right now?

Which companies are hiring for Data & Analytics roles in Santa Clara, CA?

Are there remote or hybrid Data & Analytics jobs in Santa Clara, CA?

How do I apply for Data & Analytics jobs in Santa Clara, CA?

Data & Analytics jobs in other cities

Other jobs in Santa Clara, CA

Research Engineer, Monetization AI

Job description

Tools

Explore

Company