Capital Group · 2 hours ago
Machine Learning Engineering Manager Senior
Capital Group is a company focused on improving people's lives through successful investing. They are seeking a Senior Manager for CoreML to lead an engineering organization responsible for designing and operating AI/ML capabilities that enhance investment professionals' decision-making processes.
Financial Services
Responsibilities
You will define and evolve the long-term strategy for CoreML in partnership with Product—establishing a clear vision that connects investor needs, market trends, and technical opportunity
You will co-author the roadmap with Product, ensuring sequencing reflects both business value and platform scalability
You will lead engineering execution across distributed systems, ML pipelines, LLM-based architectures, and integration layers
You will translate high-level goals into clear and actionable technical plans, while ensuring solutions are reliable, maintainable, and production-ready
You will guide teams through design reviews, prototyping, experimentation, and operational rollout
You will partner closely with Product throughout discovery, shaping opportunities, testing assumptions, and evolving requirements
You will work cross-functionally with Architecture, Cloud, Security, and downstream engineering teams to ensure strong interfaces, predictable releases, and high system resilience
You will engage directly with investment professionals to validate ideas and understand real-world workflows
You will build a high-performing team grounded in strong engineering fundamentals, pragmatic problem solving, and excellent communication
You will foster a culture of research, experimentation, and ongoing learning—encouraging engineers to explore new methods, deepen expertise, and contribute to internal knowledge creation
You will develop and mentor engineering managers and senior ICs; set clear expectations and support their growth
You will encourage thoughtful debate, constructive feedback, openness to new ideas, and shared ownership of team outcomes
You will establish mechanisms for structured exploration: technical deep dives, reading groups, prototypes, internal papers, or proofs of concept
You will partner with Product to identify and evaluate emerging AI/ML capabilities, model families, and architectural patterns
You will ensure the team’s insights are shared broadly, influencing decision making across IG Tech and investment teams
Qualification
Required
You have experience leading engineering teams that build and operate ML-driven products or platforms at scale
You have strong partnership instincts with Product—comfortable shaping strategy, co-owning roadmaps, and aligning technical investment with business priorities
You possess a deep understanding of software engineering fundamentals: OO and functional design, distributed systems, cloud architecture, testing, and operational excellence
You have hands-on experience developing and/or integrating ML and LLM-based systems (RAG pipelines, embeddings, evaluation frameworks, orchestration, data integrations)
You are able to navigate ambiguity, connect details to high-level strategy, and synthesize complex information into actionable direction
You have strong communication skills: clear, structured, concise, and effective across technical and business audiences
You demonstrate curiosity, adaptability, and a willingness to evolve ideas based on new learnings or evidence
You take a practical approach to problem solving—balancing ideal technical solutions with real-world constraints
Preferred
Ideally, you have exposure to investment workflows, financial data, or high-stakes, data-intensive enterprise environments
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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