AI Scientist

Capital Group

. Drive development of innovative applications leveraging Large Language Models and Generative AI for asset management .

Posted 11/3/2026full-timeLos Angeles • California • United StatesJunior💰 $141,648 - $264,296 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing innovative AI applications using Large Language Models and Generative AI, with a strong foundation in machine learning algorithms and deep learning architectures. Proven ability to collaborate effectively and communicate complex technical concepts clearly.

Highest-signal resume keywords

Large Language ModelsGenerative AIMachine Learning AlgorithmsDeep Learning ArchitecturesPython Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningNeural NetworksTransformersRecommender SystemsTime Series ModelsOptimization AlgorithmsModel DevelopmentFine-Tuning TechniquesAgentic AI Frameworks

Soft Skills

Excellent CommunicationTeam Player

Tools & Technologies

ML LibrariesGenerative AI Techniques

Certifications & Qualifications

MS in Computer SciencePhD in Artificial Intelligence or Machine Learning (Preferred)

Industry Keywords

Asset ManagementAI ApplicationsClient EngagementInvestment Insights

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Drive development of innovative applications leveraging Large Language Models and Generative AI for asset management
Apply foundational AI/ML expertise to build and fine-tune advanced models, including deep learning and generative architectures
Prototype conversational assistants that deliver investment insights and guide client decisions
Build analytical AI solutions such as recommender systems, time series models for next-best-action predictions, and optimization algorithms for targeted client engagement
Collaborate with scientists and engineers
Help deploy scalable, state-of-the-art AI applications
Empower sales and marketing teams and enhance client outcomes

Requirements

What you’ll need

MS in Computer Science, Artificial Intelligence, Machine Learning, or related technical field
PhD preferred
1–3 years of relevant work/research experience post-MS, or 1+ years post-PhD
Strong foundation in ML algorithms and deep learning architectures, including neural networks and transformers
Proficiency in Python
Familiarity with ML libraries/frameworks for model development
Hands-on experience with LLMs and Generative AI techniques
Passion for learning advanced AI concepts, including knowledge graphs, fine-tuning techniques, and agentic AI frameworks
Commitment to staying current with AI advancements and applying academic research to real-world asset management challenges
Ability to bring innovative AI solutions into production
Excellent communication skills and ability to explain technical concepts clearly
Team player

Benefits

Comp & perks

Competitive salary
Individual annual performance bonus
Capital’s annual profitability bonus
Retirement plan where Capital contributes 15% of eligible earnings
Generous time-away and health benefits from day one
Flexible work options
2-for-1 matching gifts for charitable contributions
Opportunity to secure annual grants for charitable organizations
On-demand professional development resources
Temporary positions in the United States are excluded from the mentioned compensation and benefit plans