Capital Group · 2 hours ago
Senior Machine Learning Engineer
Capital Group is seeking an experienced Machine Learning Engineer to design, research, implement, deliver, and operate Generative AI systems that enhance their investment processes. The role involves collaborating with investment professionals and engineering partners to translate research into scalable solutions that improve decision-making in investments.
Financial Services
Responsibilities
Design, research, build, evaluate, and operate Generative AI models and systems that materially improve the work of our investment professionals
Prototype quickly to test hypotheses, while contributing to production-quality solutions as ideas mature
Take ownership of complex technical projects, shaping system design and research direction, and collaborating closely with teammates to deliver strong outcomes
Break down complex problems into actionable steps, making thoughtful engineering and modeling trade-offs
Read current research, run controlled experiments, analyze results, and clearly communicate insights and trade-offs
Bring a scientist's curiosity and a builder's pragmatism, balancing exploration with delivering real value
Maintain a high bar for clarity, reliability, and correctness in both code and models
Work with partners across teams to identify root causes of issues and design long-term solutions
Operate with urgency, positivity, ownership, and a growth mindset, seeking continuous improvement and embracing new ideas
Qualification
Required
Strong intellectual curiosity and comfort exploring new tools, frameworks, and techniques, and applying them thoughtfully to real-world problems
Ability to analyze experimental results, make clear trade-off decisions, and communicate findings effectively
Strong communication skills, with the ability to explain technical concepts clearly to diverse audiences
Experience developing machine learning solutions such as question answering, information extraction, summarization, classification, search relevance, or similar real-world ML applications
Hands-on experience solving end-to-end ML problems, from data understanding to training, evaluation, iteration, and deployment
Strong understanding of core machine learning concepts and the ability to apply them thoughtfully in real-world settings
7+ years of experience with at least one modern programming language such as Python or Java, with strong understanding of OO or functional design patterns
Proven ability to own and drive technical projects from design through experimentation and implementation, requiring minimal oversight
Preferred
Experience building AI/ML solutions that deliver meaningful impact in real-world or production environments
Knowledge of software engineering best practices (Agile development, testing, code reviews, design documentation)
Experience with ML Ops, model observability, deployment automation, or scalable training/evaluation pipelines
Familiarity with modern Generative AI technologies, foundation models, and current research trends
Familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow, or similar)
Experience with reinforcement learning or related techniques
Benefits
Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options
Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love
Access on-demand professional development resources that allow you to hone existing skills and learn new ones
In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital’s annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.
Company
Capital Group
Capital Group was established in 1931 in Los Angeles, California, and now has 31 offices around the globe.
Funding
Current Stage
Late StageRecent News
2024-05-06
2024-04-17
2024-02-27
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