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Ai Math Jobs in Anaheim, CA (NOW HIRING)

Bachelor's degree in computer science, math, an engineering discipline, or equivalent work ... Deep understanding of AI/ML concepts, large language model architectures, prompt engineering, and ...

Bachelor's degree in computer science, math, an engineering discipline, or equivalent work ... Deep understanding of AI/ML concepts, large language model architectures, prompt engineering, and ...

AI Solutions Engineering Delivery Lead

Los Angeles, CA · On-site

$110K - $145K/yr

... Mathematics, or related technical field - Minimum of 10 years of experience, including substantial ... AI and machine learning solutions, particularly with orchestrated LLM applications - Proven ...

AI Solutions Engineering Delivery Lead

Irvine, CA · On-site

$110K - $144K/yr

... Mathematics, or related technical field - Minimum of 10 years of experience, including substantial ... AI and machine learning solutions, particularly with orchestrated LLM applications - Proven ...

Showing results 41-60

Ai Math information

See Anaheim, CA salary details

$23.6K

$61.6K

$98.9K

How much do ai math jobs pay per year?

As of Sep 7, 2026, the average yearly pay for ai math in Anaheim, CA is $61,597.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,100.00 and $73,300.00 per year, depending on experience, location, and employer.

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.

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.

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 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 are popular job titles related to Ai Math jobs in Anaheim, CA?

For Ai Math jobs in Anaheim, CA, the most frequently searched job titles are:

What job categories do people searching Ai Math jobs in Anaheim, CA look for?

The top searched job categories for Ai Math jobs in Anaheim, CA are:

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

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

Application Software Engineer, Applied AI

InvestedintheMission

Hawthorne, CA • On-site

$150 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.

APPLICATION SOFTWARE ENGINEER, APPLIED AI

The application software team is the central nervous system of SpaceX - we create mission critical applications that are used throughout SpaceX to accelerate launch vehicle production and flight as well as systems that allow Starlink to grow into a worldwide fast, reliable Internet service. We are looking for engineers who treat fellow teammates with fairness, respect, and support.

In this Applied AI role within the Application Software team, you will design, evaluate, deploy, and integrate modern AI systems—including large language models and agentic systems that power products and infrastructure across SpaceX. You will own the end-to-end lifecycle of AI capabilities from prototype to production while partnering closely with Product, Engineering, and Operations teams. We are looking for a strong software engineer with a proven track record of delivering AI products, including hands-on experience evaluating, deploying, and integrating AI solutions into real production systems.

Aerospace experience is not required - rather we look for smart, motivated, respectful, collaborative engineers who love solving problems and want to make an impact on a super inspiring mission. You will have full ownership of challenging problems, working with a team of enthusiastic engineers with diverse perspectives to design and produce solutions that enable SpaceX to move towards our goals at a rapid pace. The success of the missions at SpaceX depends on the software that you and your team produce.

RESPONSIBILITIES:
  • Develop highly reliable software solutions used across SpaceX, including AI-powered applications that accelerate production, flight, and Starlink operations
  • Create new applications that improve how SpaceX operates by incorporating modern large language models, agentic systems, and other AI capabilities
  • Own the full lifecycle of Applied AI systems: design, evaluation, deployment, monitoring, and iteration from prototype to production
  • Deep dive into users’ problems to uncover high-leverage AI opportunities and deliver efficient, production-grade solutions
  • Architect production systems for agentic workflows, tool-use, multi-agent orchestration, advanced retrieval, and long-context applications that prioritize reliability, safety, and responsible deployment
  • Build and maintain rigorous evaluation frameworks (LLM-as-judge, automated benchmarks, online evaluation) and production observability/monitoring for AI quality, safety, latency, and cost
  • Stay at the frontier of LLM techniques and rapidly incorporate emerging best practices into production systems across SpaceX programs
BASIC QUALIFICATIONS:
  • Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree
  • 1+ years of experience in full stack development
PREFERRED SKILLS AND EXPERIENCE:
  • Hands-on experience evaluating, deploying, and integrating AI models into production systems
  • Proven track record of delivering (or significantly contributing to) end-to-end AI products or production AI-powered features
  • Proven track record of shipping real-world AI products from prototype through production deployment and iteration
  • Deep hands-on experience with modern LLM techniques: agentic systems, tool-use / function calling, multi-agent orchestration, advanced retrieval architectures, fine-tuning, and structured outputs
  • Experience building production evaluation systems (LLM-as-judge, automated eval harnesses, A/B testing, red-teaming) and AI observability/monitoring (tracing, quality metrics, safety, cost)
  • Experience designing and implementing production architecture for AI-powered applications with strong emphasis on reliability, safety, and responsible deployment
  • Previous experience in AI product design, development, integration, testing, and productionization
  • Strong software engineering foundation with expertise in designing production systems (including AI-powered and system-to-system architectures) and a track record of writing clean, maintainable code
  • Programming experience in Python, C#.NET, Go, Scala, Java, or similar
  • Production experience with Docker, Kubernetes, and modern data streaming (Kafka or similar)
  • Front-end experience (Angular, React, or similar) and database experience (PostgreSQL, SQL Server, or similar)
  • Demonstrated ability to stay current with rapidly evolving AI technologies and best practices
  • Ability to work under pressure and deliver results across multiple parallel priorities in a fast-paced, high-reliability environment
ADDITIONAL REQUIREMENTS:
  • You may be asked to work extended hours/weekends dependent on launch cadence
  • This role requires you to be onsite. Remote and/or hybrid work will not be considered
COMPENSATION AND BENEFITS

Pay Range:

  • Level 1: $125,000.00 - $160,000.00
  • Level 2: $145,000.00 - $195,000.00

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.

ITAR REQUIREMENTS
  • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. §1157, or (iv) Asylee under 8 U.S.C. §1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Applicants wishing to view a copy of SpaceX’s Affiative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.

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