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Ai Math Analyst Jobs in California (NOW HIRING)

Lead AI Engineer

Palo Alto, CA · On-site

$120K - $158K/yr

D. in Computer Science, Machine Learning, AI, Mathematics, Statistics, or a related field. • 2-5 ... such as data analysis, predictive modeling, or automation. • A background in deploying and ...

As we prepare for growth after our Series A, our team - led by co-founders with PhDs in AI, Math ... Experience defining and analyzing unit economics, with the ability to translate complex cost ...

... mathematical analysis for product optimization and safety evaluation • Experience with safety-related content classification Company : x.ai is a tool that helps you and your team share ideal ...

... AI tools Who You Are: * Bachelor's or Master's degree in finance, mathematics, analytics, economics, or a related quantitative field * 5-8 years of experience in corporate finance, FP&A, investment ...

Bachelor's in Computer Science, Engineering, Mathematics, or related field (or equivalent experience) * 5+ years in data analytics, data science, AI/ML, NLP, and data visualization * Strong ...

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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 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 July 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Lead AI Engineer

Eudia

Palo Alto, CA • On-site

$120K - $158K/yr

Full-time

Posted 14 days ago


Job description

Job Summary:
Eudia is redefining the future of legal work with AI-powered Augmented Intelligence, enabling Fortune 500 legal teams to move faster and manage risk more effectively. The Lead AI Engineer will develop secure, enterprise-grade software using Generative AI, collaborating with top legal and risk experts to innovate solutions that address AI/ML challenges.
Responsibilities:
• Work closely with customers to understand and address their AI/ML challenges, designing and deploying custom solutions that leverage company technologies.
• Act as the primary technical contact, providing hands-on support during deployment and ensuring successful integration.
• Collaborate with product management and engineering to convey customer feedback, influencing AI/ML product roadmaps.
• Lead the deployment of AI/ML solutions, ensuring smooth integration and ongoing optimization.
• Provide technical training to clients, identify challenges in AI/ML deployments, and proactively improve model performance.
• Maintain clear communication with all stakeholders, providing regular updates on progress and outcomes.
Qualifications:
Required:
• Master’s or Ph.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 deploying and integrating AI/ML solutions in real-world environments.
• Proficiency in LLMs, RAGs, evaluation techniques, and machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages such as Python.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and ML services is essential.
• Strong problem-solving skills in diagnosing and resolving AI/ML model issues, including model drift, data quality challenges, and performance optimization.
• Experience in client-facing roles, with excellent communication and interpersonal skills, and the ability to build strong relationships with customers while guiding them through the AI/ML deployment process.
• Familiarity with MLOps practices and tools (e.g., MLflow) and experience in model deployment, monitoring, and continuous integration/continuous deployment (CI/CD) of AI/ML solutions.
• A passion for AI/ML technologies and a desire to work on innovative solutions that drive significant impact for customers.
Preferred:
• Familiarity with applying artificial intelligence and machine learning techniques in customer deployments, particularly in areas such as data analysis, predictive modeling, or automation.
• A background in deploying and supporting software solutions within legal technology or complex enterprise environments, with an understanding of industry-specific challenges and requirements.
Company:
Eudia is an augmented intelligence platform that enhances legal team efficiency using AI. Founded in 2023, the company is headquartered in Palo Alto, USA, with a team of 201-500 employees. The company is currently Growth Stage.