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Ai Math Jobs in Castro Valley, CA (NOW HIRING)

Hyperbolic Labs

Head of Supply

San Francisco, CA · On-site

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 a Head of Supply ...

Hyperbolic Labs

Head of Finance

San Francisco, CA · On-site

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 a Head of ...

Hyperbolic Labs

VP of Engineering

San Francisco, CA · On-site

$212K - $273K/yr

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 are seeking a highly ...

Hilbert's AI

Mathematician, Foundation Team

San Francisco, CA · On-site +1

$100K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

A century ago, mathematics went through its foundational crisis: paradoxes in set theory had ... About Hilbert Hilbert is an a16z-backed, AI-native growth intelligence platform for consumer ...

Hyperbolic Labs

Head of Operations

San Francisco, CA · On-site

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 a Head of ...

KBA STAFFING LLC

Be Seen First

Mathematics Expert

San Francisco, CA · On-site

$70 - $90/hr

Evaluate and refine mathematical content for use in AI training datasets.Contribute technical analyses, explanations, and justifications that reflect research-level mathematical rigor.Apply research ...

New

KBA STAFFING LLC

Be Seen First

Mathematics Expert

San Francisco, CA · On-site

$70 - $90/hr

Evaluate and refine mathematical content for use in AI training datasets.Contribute technical analyses, explanations, and justifications that reflect research-level mathematical rigor.Apply research ...

New

Mercor

Mathematics PhD - AI Researcher

San Francisco, CA · Remote

$70 - $90/hr

Develop challenging problems in Mathematics to enhance AI model training and innovation. * Evaluate the accuracy and depth of AI-generated content to strengthen reasoning and rigor in model outputs

Dodge & Cox

Business Solutions Associate

San Francisco, CA · On-site +1

$95K - $160K/yr

  • Medical

  • Life

  • Retirement

Bachelor's degree with an excellent academic record in AI, Math, Economics, Data or Computer Science, or a similar analytically rigorous background * Demonstrated ability to break down complex ...

Eudia

Applied AI Engineer

Palo Alto, CA · On-site

$180K - $210K/yr

D. in Computer Science, Machine Learning, AI, Mathematics, Statistics, or a related field. * 2-5 years of experience in AI/ML engineering, data science, or a similar role, with a strong background in ...

Eudia

Applied AI Engineer

Palo Alto, CA · On-site

$180K - $210K/yr

D. in Computer Science, Machine Learning, AI, Mathematics, Statistics, or a related field. * 2-5 years of experience in AI/ML engineering, data science, or a similar role, with a strong background in ...

Intuit

Manager 2, AI Science

Mountain View, CA · On-site

D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Econometrics, Physics, or a related quantitative discipline (or equivalent experience). * 8+ years of experience in AI Science ...

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Showing results 21-40

All JobsAi Math JobsAi Math Jobs in Castro Valley, CA

Ai Math information

See Castro Valley, CA salary details

$26K

$67.9K

$109K

How much do ai math jobs pay per year?

As of Aug 16, 2026, the average yearly pay for ai math in Castro Valley, CA is $67,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,900.00 and $80,800.00 per year, depending on experience, location, and employer.

What is the difference between Ai Math vs Data Analyst?

AspectAi MathData Analyst
Required CredentialsMathematics, Computer Science, AI certificationsStatistics, Data Analysis, Business Intelligence certifications
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness settings, consulting firms, corporate departments
Industry UsageAI development, machine learning projects, researchData interpretation, reporting, decision support

Ai Math professionals focus on developing algorithms and models using advanced mathematics and AI techniques, often working in research or tech environments. Data Analysts interpret data to provide insights and support business decisions. While both roles require analytical skills, Ai Math emphasizes algorithm creation and AI research, whereas Data Analysts focus on data visualization and reporting.

What is an AI Math specialist?

An AI Math specialist is a professional who applies advanced mathematical concepts and techniques to develop, analyze, and improve artificial intelligence algorithms and models. Their work often involves linear algebra, calculus, probability, statistics, and optimization methods to design effective machine learning and deep learning systems. AI Math specialists collaborate with data scientists, engineers, and researchers to solve complex problems, ensure model accuracy, and enhance the performance of AI-driven solutions.

How does an AI Math specialist typically collaborate with data scientists and software engineers within a project team?

AI Math specialists play a crucial role in multidisciplinary teams by developing mathematical models and algorithms that underpin AI solutions. They frequently work alongside data scientists to refine statistical methods, validate results, and optimize data processing techniques. Collaboration with software engineers is also common, as AI Math specialists help translate theoretical models into efficient, scalable code for production environments. This teamwork ensures that AI systems are both mathematically sound and technically robust, fostering innovation and effective problem-solving.

What are the key skills and qualifications needed to thrive as an AI Math specialist?

To thrive as an AI Math Specialist, you need strong mathematical foundations in linear algebra, calculus, probability, and statistics, typically supported by a degree in mathematics, computer science, or a related field. Proficiency with programming languages like Python, experience with machine learning frameworks (such as TensorFlow or PyTorch), and familiarity with data analysis tools are essential. Critical thinking, problem-solving, and effective collaboration are important soft skills for tackling complex challenges and working in interdisciplinary teams. These skills enable the development, implementation, and optimization of robust AI models and solutions.

What cities near Castro Valley, CA are hiring for Ai Math jobs?

Cities near Castro Valley, CA with the most Ai Math job openings:

Ai Math jobs near you

Hyperbolic Labs - Senior Site Reliability Engineer

De Circle

San Francisco, CA • On-site

$67.25 - $89.25/hr

Full-time

Re-posted 24 days ago

Job description

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 a Site Reliability Engineer to ensure Hyperbolic's GPU marketplace and AI infrastructure operate with exceptional reliability, performance, and security. As an aggregator of compute resources from hundreds of global suppliers, our SLOs, trust, and economic efficiency are product-critical. You'll be responsible for defining and maintaining service level objectives for job success rates, building robust incident response systems, managing capacity across our distributed GPU network, and implementing secure rollout and rollback mechanisms that keep our platform running smoothly 24/7.
In this role, you'll establish the reliability standards that define customer trust in our platform, design monitoring and alerting systems that provide deep visibility into our infrastructure, build automation for capacity management and resource allocation, lead incident response and post-mortem processes, and work closely with engineering teams to improve system resilience. You'll also focus on security and infrastructure hardening, ensuring strong isolation between tenants and suppliers, implementing key management systems, and building compliance frameworks. This is a high-impact position where your work directly influences our ability to deliver on our promise of affordable, accessible AI compute at scale.
  • Expert in site reliability engineering with proven experience defining, monitoring, and maintaining SLOs and SLAs for production systems
  • Strong background in capacity planning and management, including forecasting, resource allocation, and cost optimization for distributed systems
  • Experienced in incident response, on-call rotations, and post-mortem processes with a track record of reducing MTTR and improving system resilience
  • Deep knowledge of deployment systems including progressive rollouts, canary deployments, feature flags, and automated rollback mechanisms
  • Proficient in observability tools and practices including metrics, logging, tracing, and alerting systems (Prometheus, Grafana, ELK stack, or similar)
  • Strong understanding of infrastructure security including tenant isolation, workload isolation, network segmentation, and security hardening
  • Experience with secrets management, key management systems (KMS), certificate management, and secure credential rotation
  • Knowledge of compliance frameworks and security best practices for cloud platforms (SOC 2, ISO 27001, or similar)
  • Excellent problem-solving skills with ability to debug complex distributed systems issues under pressure
  • Strong automation mindset with experience using infrastructure-as-code, configuration management, and CI/CD pipelines

Preferred Qualifications
  • Experience operating GPU infrastructure, AI/ML platforms, or compute marketplaces at scale
  • Background in distributed systems, peer-to-peer networks, or decentralized infrastructure
  • Knowledge of multi-tenancy security patterns, container security, and runtime security tools
  • Experience with chaos engineering, fault injection, and resilience testing
  • Familiarity with cost optimization strategies for cloud infrastructure and GPU resources
  • Experience building and operating systems with demanding uptime requirements (99.9%+ SLAs)
  • Background at companies like AWS, Google Cloud, Azure, or fast-growing infrastructure startups
  • Contributions to open-source reliability, observability, or security tools

Apply