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Contractual Computer Science Artificial Intelligence Jobs in California

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Contractual Computer Science Artificial Intelligence information

What is the difference between Contractual Computer Science Artificial Intelligence vs Contractual Data Scientist?

AspectContractual Computer Science Artificial IntelligenceContractual Data Scientist
Required CredentialsDegree in Computer Science, AI certificationsDegree in Data Science, Statistics, or related fields
Work EnvironmentTech companies, research labs, startupsBusiness analytics, finance, healthcare sectors
Employer & Industry UsageDevelop AI models, algorithms, machine learning systemsAnalyze data, build predictive models, extract insights

Contractual Computer Science Artificial Intelligence roles focus on developing AI algorithms and systems, often requiring specialized certifications. In contrast, Contractual Data Scientists analyze data to inform business decisions. Both roles are common in tech-driven industries but differ in their core functions and skill sets.

Can I get an artificial intelligence job with a computer science degree?

A computer science degree provides a strong foundation for artificial intelligence (AI) roles, as many positions require knowledge of algorithms, programming languages like Python, and machine learning frameworks such as TensorFlow or PyTorch. Entry-level AI jobs often seek candidates with skills in data analysis, programming, and problem-solving, and certifications or specialized training can enhance prospects.

What are the most commonly searched types of Computer Science Artificial Intelligence jobs in California?

The most popular types of Computer Science Artificial Intelligence jobs in California are:

What cities in California are hiring for Contractual Computer Science Artificial Intelligence jobs?

Cities in California with the most Contractual Computer Science Artificial Intelligence job openings:

Contractual Computer Science Artificial Intelligence jobs near you

Artificial Intelligence Scientist IV

504 CGCG-US CG Companies Global-US

Los Angeles, CA • On-site

$150 - $210/hr

Other

Medical, Retirement

Posted 27 days ago

Job description

Artificial Intelligence Scientist IV

As an Artificial Intelligence Scientist IV, you will play a pivotal role in shaping the future of AI at Capital Group and help establish the GenAI strategy for the Client Group. Your expertise in deep neural networks and generative AI will be instrumental in bringing visionary solutions to life, delivering groundbreaking applications across the asset management industry.

Responsibilities

• Research and develop scalable applications using large language models (LLMs) and Agentic AI, such as conversational assistants that retrieve information about mutual fund products or market insights and guide clients through investment decisions.

• Provide thought leadership in discussions with product and technical leaders to transform business and product visions into groundbreaking AI applications that keep Capital Group as a leader in asset management.

• Analyze behavioral data, market news, and economic trends to personalize investment outcomes and develop AI tools that help sales, marketing, and service teams offer relevant solutions to financial advisors.

• Design and review AI solutions with a focus on excellence, scalability, and best practices for data management, model development, and evaluation to ensure the highest quality outcomes.

• Drive AI research and innovation, collaborate with other scientists and engineers, publish new industry‑leading ideas, and mentor a talented team of applied scientists.

Qualifications

• MS in Computer Science, Artificial Intelligence, Machine Learning, or related technical field. PhD preferred.

• Minimum 10 years of relevant work experience, including asset management industry experience or research in a lab.

• Practical experience with recent advancements in LLMs and generative AI, including RAG, parameter‑efficient fine‑tuning, instruction fine‑tuning, advanced prompt engineering, and Agentic AI frameworks.

• Deep technical knowledge of machine learning and deep learning architectures such as Transformers, training methodologies, and optimization techniques.

• Demonstrated ability to apply cutting‑edge academic research to solve complex business challenges and successfully bring innovative solutions into production.

• Proven collaboration with software engineering teams and contributions to research communities, preferably with published papers or blog articles.

Benefits

• Competitive base salary, annual performance bonus, and annual profitability bonus.

• Retirement plan with Capital contributing 15% of eligible earnings.

• Generous health and time‑away benefits from day one, flexible work options, and professional development resources.

• 2‑for‑1 matching gifts for charitable contributions.

Equal Opportunity Employer

We are an equal‑opportunity employer and comply with all federal, state, and local non‑discrimination laws. Capital Group prohibits unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth, related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, and any other protected characteristic under applicable law.

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