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Ai Math Analyst Jobs in California (NOW HIRING)

Senior Data Analytics Engineer

San Francisco, CA ยท On-site

$124K - $169K/yr

As we prepare for growth after our Series A, our team - led by co-founders with PhDs in AI, Math ... About the Role We're seeking our first data analytics hire to establish and own the data foundation ...

... Excellent analytical, written, and verbal interpersonal skills along with an ability to ... Tensordyne is a technology company involved in building AI math, chips, hardware, and software in ...

Explainable AI Engineer

Palo Alto, CA ยท On-site +1

$114K - $157K/yr

Understand, develop, & support deep math analytics in Explainable AI Engines * Build, evolve, verify, and validate data processing pipeline segments * Support scalable deployment of the AI

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Ai Math Analyst information

What are some typical challenges an AI Math Analyst faces in their daily work?

AI Math Analysts frequently work with large, complex datasets that may require extensive cleaning and preprocessing, which can be both time-consuming and technically challenging. They must balance the need for mathematical accuracy with the practical constraints of computational resources and project deadlines. Collaborating with data scientists, engineers, and business stakeholders is common, so the ability to translate complex mathematical concepts into actionable strategies is essential. Overcoming these challenges can be highly rewarding, as it directly contributes to the development and optimization of innovative AI systems.

What are the key skills and qualifications needed to thrive in the Ai Math Analyst position, and why are they important?

To thrive as an AI Math Analyst, you need a strong background in mathematics, statistics, machine learning, and programming (commonly Python or R), often supported by a relevant degree in mathematics, computer science, or a related field. Familiarity with tools such as TensorFlow, PyTorch, MATLAB, and data visualization platforms, along with certifications in data science or AI, is highly beneficial. Analytical thinking, problem-solving, effective communication, and collaboration are essential soft skills that help you interpret complex data and share actionable insights. These abilities are crucial for successfully analyzing large datasets, building AI models, and contributing valuable mathematical insights to cross-functional teams.

What is an AI Math Analyst job?

An AI Math Analyst applies mathematical concepts, statistics, and algorithms to develop and optimize AI models. They analyze data, design predictive models, and ensure mathematical accuracy in machine learning applications. Their work often involves linear algebra, calculus, probability, and optimization techniques to enhance AI performance.

What are the most commonly searched types of Ai Math Analyst jobs in California? The most popular types of Ai Math Analyst jobs in California are:
What job categories do people searching Ai Math Analyst jobs in California look for? The top searched job categories for Ai Math Analyst jobs in California are:
What cities in California are hiring for Ai Math Analyst jobs? Cities in California with the most Ai Math Analyst job openings:
Infographic showing various Ai Math Analyst job openings in California as of June 2026, with employment types broken down into 1% Locum Tenens, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 97% Physical, and 3% Remote job distribution.

Senior Data Analytics Engineer

Hyperbolic Labs

San Francisco, CA โ€ข On-site

$124K - $169K/yr

Full-time

Posted 21 days ago


Job description

Who We Are
Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.
As we prepare for growth after our Series A, our team - led by co-founders with PhDs in AI, Math, and Computer Science - is poised to redefine computing.
About the Role
We're seeking our first data analytics hire to establish and own the data foundation for our rapidly growing GPU marketplace. This is a high-impact role where you'll work directly with leadership to define, build, and deliver the critical metrics that drive business decisions across the company. You'll bridge the gap between our highly technical AI infrastructure and business needs, transforming complex data into actionable insights.
As a data-heavy compute marketplace business, we need someone who can understand the nuances of our marketplace, work independently to produce accurate metrics, and communicate insights clearly to stakeholders. You'll have the opportunity to shape our data analytics function from the ground up, with a clear path to growing into a leadership role as the team expands.
Who You Are
  • 4-8 years of experience in data analytics, preferably at a technical startup with a small analytics team where you had significant ownership
  • Strong SQL and Python scripting skills for data manipulation and analysis
  • Expert at data debugging and ensuring data correctness with a proactive approach to data health
  • Experience with dashboard development and business intelligence tools (Hex, Metabase, PostHog, or similar)
  • Exceptional attention to detail with consistent review and improvement of data systems
  • Strong communication and collaboration skills with the ability to articulate complex data insights to leadership
  • Experience working with highly technical teams and understanding technical business models
  • Proactive in seeking clarification when needed and comfortable navigating ambiguity
  • Ability to accept direct feedback and continuously improve

Preferred Qualifications
  • Experience in GPU compute infrastructure or cloud computing space
  • Background in AI infrastructure or related technical domains
  • Data engineering skills or familiarity with data pipeline development
  • Experience at high-growth, early stage, technical companies

Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.