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Artificial Intelligence Scientist – IV
Capital GroupArtificial Intelligence Scientist IV at Capital Group driving AI advancements and strategies. Collaborating with teams to develop scalable applications and mentor applied scientists.
Posted 7/9/2026full-timeLos Angeles • California • 🇺🇸 United StatesSeniorLead💰 $208,245 - $354,017 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Large Language Models and generative AI technology, with a strong foundation in Machine Learning and Deep Learning architectures. Proven ability to mentor teams and collaborate effectively with cross-functional groups to drive innovative solutions.
Highest-signal resume keywords
Large Language ModelsGenerative AI TechnologyMachine LearningDeep Learning ArchitecturesMentoring
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Artificial IntelligenceMachine LearningDeep LearningScalable Applications DevelopmentBehavioral Data AnalysisTechnical LeadershipResearch ContributionsSoftware Engineering Collaboration
Soft Skills
Thought LeadershipCollaboration
Certifications & Qualifications
MS in Computer SciencePhD Preferred
Industry Keywords
Investment OutcomesMarket NewsEconomic Trends
About the role
Key responsibilities & impact- Play a pivotal role in shaping the future of AI at Capital Group
- Establish the GenAI strategy for the Client Group
- Research and develop scalable applications using Large Language Models (LLMs)
- Provide thought leadership in discussions with product and technical leaders
- Analyze behavioral data, market news, and economic trends to personalize investment outcomes
- Collaborate with scientists and engineers to develop and publish new ideas
- Mentor a talented team of both junior and senior applied scientists
Requirements
What you’ll need- MS in Computer Science, Artificial Intelligence, Machine Learning, or related technical field
- PhD preferred
- At least 10 years of relevant work experience
- Practical experience with advancements in Large Language Models and generative AI technology
- Deep technical knowledge of Machine Learning and Deep Learning architectures
- Experience working with software engineering teams
- Contributed to research communities and preferably published related papers or blog articles
Benefits
Comp & perks- Enjoy generous time-away and health benefits from day one
- Opportunity for flexible work options
- Receive 2-for-1 matching gifts for your charitable contributions
- Opportunity to secure annual grants for the organizations you love
- Access on-demand professional development resources