Senior Machine Learning Engineer

Capital Group; Los Angeles (CA); On-site; USD 201,683 - 322,693; Full time

Benefits offered by this job

Flexible work options

Health benefits

Matching gifts for charitable contributions

Professional development resources

Job summary

A leading investment firm is seeking a Machine Learning Engineer to enhance their investment process through AI. The role involves designing and implementing scalable systems, collaborating with investment professionals, and ensuring code quality and reliability. Candidates should have 7+ years of experience in software engineering, strong proficiency in Python, and hands-on experience in machine learning integration. The position offers significant compensation, benefits, and a collaborative culture focused on engineering excellence.

Qualifications

• 7+ years of professional software engineering experience.
• Proficiency in Python, with experience in large-scale production systems.
• Strong understanding of system design, APIs, and distributed systems.

Responsibilities

• Design and implement scalable, production-quality machine learning systems.
• Take end-to-end ownership of technical projects.
• Collaborate across teams to solve ambiguous problems.

Skills

Python

Machine Learning

System Design

Problem Solving

Collaboration

Tools

Cloud Platforms

CI/CD

MLOps

PyTorch

Job description

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

Machine Learning Engineer at Capital Group

We are seeking a strong software engineer with practical machine learning experience to design, build, and operate Generative AI systems that improve Capital Group's investment process and outcomes.

You will work closely with investment professionals and engineering partners to translate ideas into reliable, production‑grade systems. While curiosity and experimentation are important, this role emphasizes engineering rigor, system design, and delivering durable solutions at scale.

You will join a high‑performing team of ML engineers and software engineers building Generative AI and LLM‑based capabilities, including multi‑agent systems, semantic search, summarization, and document understanding pipelines. We value craftsmanship in software engineering, thoughtful problem solving, and a strong sense of ownership.

Responsibilities

• Design and implement scalable, production‑quality systems that incorporate machine learning and Generative AI components.
• Take end‑to‑end ownership of technical projects, from system design through implementation and operational excellence.
• Collaborate with cross‑functional partners to translate ambiguous problems into well‑structured technical solutions.
• Maintain a high bar for code quality, testing, clarity, and reliability.
• Contribute to architectural decisions, ensuring systems are maintainable, extensible, and resilient.
• Apply sound engineering judgment when integrating ML models into larger distributed systems.
• Operate with urgency, ownership, humility, and strong collaboration across teams.

Required Experience

• 7+ years of professional software engineering experience, with strong proficiency in Python (or similar modern language).
• Demonstrated experience designing and building large scale production systems with solid architectural foundations.
• Strong understanding of system design principles, APIs, distributed systems concepts, and cloud‑native development.
• Hands‑on experience integrating machine learning models into production applications or services.
• Experience with cloud platforms, CI/CD, DevOps, or MLOps practices for deploying and monitoring applications.
• Strong problem‑solving ability – able to break down ambiguous problems into clear technical plans.
• Proven ability to own projects independently and drive them to completion.
• Strong communication skills and behavioral maturity; able to collaborate effectively with diverse stakeholders.

Preferred (Nice to Have)

• Experience working with Generative AI, LLM APIs, retrieval systems, or agent‑based architectures.
• Experience with ML lifecycle tooling such as experiment tracking, model versioning, monitoring, or CI/CD for ML systems.
• Familiarity with model evaluation, monitoring, and performance trade‑offs.
• Exposure to modern ML frameworks (e.g., PyTorch, HuggingFace, etc.).
• Experience reviewing research papers and translating relevant ideas into practical implementations.

What We Value Most

Engineering excellence. Ownership. Sound judgment. Humility. Collaboration. Curiosity.

We are looking for a strong builder – someone who combines deep software engineering skill with the ability to thoughtfully apply machine learning techniques in real‑world systems.

Compensation and Benefits

Southern California Base Salary Range: $201,683‑$322,693

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.

You can learn more about our compensation and benefits here.

* Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans.

Equal Opportunity Employer

We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and 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, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.