Senior Machine Learning Engineer | Irvine, CA, USA

NLP PEOPLE; Irvine (CA); On-site; USD 201,683 - 322,693; Full time

Benefits offered by this job

Competitive salary and annual performance bonus

Health and wellness benefits

Flexible work options

Job summary

NLP PEOPLE is seeking a Senior Machine Learning Engineer to join our Machine Learning Engineering team in Irvine, California. This role focuses on designing and deploying cutting-edge AI products, ensuring they are governed and reliable in production.

The ideal candidate will have over 7 years of experience in software engineering, strong Python skills, and expertise in production ML systems. The role offers a competitive salary, bonuses, and a supportive work culture.

Qualifications

• 7+ years of professional software engineering experience.
• Experience in building and operating production ML systems end-to-end.
• Hands-on experience with AWS and/or Databricks.

Responsibilities

• Architect and operate end-to-end production AI systems.
• Establish and evangelize engineering standards.
• Build REST and streaming APIs to expose ML capabilities.

Skills

Python

Machine Learning

AWS

Databricks

APIs development

CI/CD

Data handling

Education

Bachelor's degree in Information Technology, Computer Science or related field

Tools

Databricks (Unity Catalog, MLflow, Spark)

AWS

Infrastructure as Code

Job description

Senior Machine Learning Engineer

“I can be myself at work.”

You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we’re committed to fostering a strong sense of belonging in a respectful workplace.

We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long‑Term Thinking, and Community.

“I can influence my income.”

You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You’ll receive a competitive salary, bonuses and benefits. Your company‑funded retirement contribution will factor in salary and variable pay, including bonuses.

“I can lead a full life.”

You bring unique goals and interests to your job and your life. Whether you’re raising a family, you’re passionate about where you volunteer, or you want to explore different career paths, we’ll give you the resources that can set you up for success.

“I can succeed as a Senior Machine Learning Engineer at Capital Group.”

• 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

You will join our Machine Learning Engineering team to build the next generation of AI products at Capital Group – including agentic systems, LLM‑powered workflows, and the platform that ensures they are safe, governed, and reliable in production.

You will operate at the intersection of production ML, GenAI and agentic workflows, and governed data infrastructure. In this high‑impact role, you will help define how enterprise‑grade AI systems are designed, deployed, and operated. You will work with a high degree of autonomy, mentor junior engineers, and drive engineering standards across projects built on Databricks, AWS, and agent‑based architectures.

What You Will Do

AI Infrastructure & Production Systems

• You architect and operate end‑to‑end production AI systems – designing, building, deploying, monitoring, and managing the full lifecycle of ML and GenAI workloads
• You develop production‑grade cloud‑native environments optimized for AI/ML model training, serving, and orchestration
• You establish and evangelize engineering standards, reference patterns, and reusable platform components for AI services across the firm
• You design scalable inference pipelines, including retraining loops, drift detection, evaluation harnesses, and observability

Agentic Workflows & GenAI

• You build agentic systems with multi‑step reasoning, orchestration, and tool/function calling, including MCP‑based integrations
• You develop evaluation harnesses, traces, and replay tooling so agent behavior is observable and continuously improvable
• You apply advanced prompt engineering, evaluation frameworks, guardrails, and human‑in‑the‑loop patterns to deliver reliable LLM‑powered features
• You drive the agentic SDLC, defining how agents are designed, tested, evaluated, deployed, and monitored as first‑class production assets

Databricks & AWS Platform Engineering

• You build solutions on Databricks (Unity Catalog, MLflow, Spark) and AWS, leveraging native AI capabilities for model training, serving, and governance
• You use Infrastructure as Code to provision and manage cloud‑native, scalable, and secure environments
• You integrate with vector stores, graph databases, Redis, DynamoDB, and ElastiCache to enable retrieval, memory, and state for AI applications

ML Engineering & Delivery

• You build REST and streaming APIs to expose ML and agentic capabilities to downstream products and platforms
• You apply advanced prompt engineering, RAG patterns, fine‑tuning, and model selection aligned to specific use cases
• You optimize performance, cost, and computational efficiency across distributed compute workloads
• You develop and tune ML models and perform data cleaning, feature engineering, preprocessing, and exploratory analysis

Governance, Risk & Collaboration

• You embed data lineage, access controls, audit trails, and responsible AI practices into every system you build
• You partner with product, business, and data teams to translate ambiguous problems into well‑scoped agentic solutions
• You lead code reviews, set engineering standards, mentor junior engineers, and propose scalable solutions

Qualifications

• You have 7+ years of professional software engineering with strong proficiency in Python and core software engineering fundamentals
• You have experience building and operating production ML systems end‑to‑end, including deployment, monitoring, and lifecycle management
• You have hands‑on experience with AWS and/or Databricks, including native AI/ML capabilities and Infrastructure as Code
• You have experience integrating GenAI and LLMs using advanced prompt engineering and evaluation techniques
• You have experience developing APIs (REST and streaming endpoints) and familiarity with MCP (Model Context Protocol)
• You have strong ML fundamentals, including algorithms, evaluation metrics, and model tuning
• You have a bachelor’s degree in information technology, computer science, or a related field
• You have experience with data handling, including data cleaning, feature engineering, preprocessing, and exploratory data analysis
• You demonstrate the ability to operate autonomously on complex technical initiatives
• You have experience with CI/CD and DevOps, including containerization, deployment pipelines, and testing frameworks

Strongly Preferred Skills

• You have experience with agentic architectures, including multi‑step reasoning, orchestration frameworks, tool/function calling, and agent evaluation
• You have experience with data infrastructure for AI, including vector stores, graph databases, Redis, DynamoDB, and ElastiCache
• You have experience with data governance tools and practices such as Unity Catalog, data lineage, access controls, and audit trails
• You have experience with distributed computing, including Spark and large‑scale data processing
• You have experience designing human‑in‑the‑loop systems, including guardrails, LLM output evaluation, and responsible AI practices

You can apply in less than 4 minutes.

At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That’s why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people’s lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day.

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.

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.