Sr. AI / ML Engineer

PENNYMAC Pennymac is (NYSE: PFSI) is a specialty financial services firm with a comprehensive mortgage platform and integrated business focused on the production and servicing of U.S. mortgage loans and the management of investments related to the U.S. mortgage market. At Pennymac, our people are the foundation of our success and at the heart of our dynamic work culture. Together, we work towards a unified goal of helping millions of Americans achieve aspirations of homeownership through the complete mortgage journey. A Typical Day We're looking for a highly experienced and motivated Senior AI Engineer to develop and deploy cutting-edge AI/ML solutions within our AI Accelerator Team. You'll work with and mentor a team of engineers responsible for leveraging the latest AI ( Artificial Intelligence ) technologies and ML ( Machine Learning ) models to deploy best-in-class tools for Pennymac’s employees and customers. This role requires a deep understanding of AI agentic programming, machine learning algorithms, natural language processing (NLP), computer vision, AWS and GCP cloud technologies, and MLOps practices. Strong communication skills are essential to effectively collaborate within the team and provide technical mentorship to peers. Responsibilities Design and implement AI/ML solutions on AWS Bedrock and Google Vertex AI, including model selection, training, optimization, and deployment. Utilize AWS services (e.g., EC2, S3, Lambda, SageMaker) and GCP services (e.g., Compute Engine, Cloud Storage, BigQuery, Vertex AI) to build and manage scalable cloud infrastructure for AI/ML workloads. Develop and optimize high-performance machine learning models using Python and relevant libraries such as TensorFlow, PyTorch, and spaCy for predictive analytics and NLP. Implement and manage MLOps practices to ensure efficient model development, deployment, monitoring, and retraining within the IDP pipeline. Demonstrate proficiency in utilizing AWS Bedrock services (e.g., Titan FMs, foundation models) and Google Vertex AI services (e.g., Vertex AI Workbench, pre-trained APIs). Design and implement robust data pipelines for efficient data ingestion, preprocessing, and feature engineering. Identify and resolve performance and scalability issues in models and infrastructure to improve the accuracy and efficiency of tools in production. Collaborate with cross-functional teams (e.g., product management, data science, software engineering) to deliver impactful solutions that meet business requirements. Participate in code reviews and provide technical guidance to peers on best practices and latest technology trends. Work with DevOps teams to ensure continuous delivery of the product using agile methodology. Stay abreast of the latest advancements in AI/ML, NLP, computer vision, and cloud technologies to evaluate new techniques that enhance our AI solutions. Utilize coding assistants such as Cursor, Copilot in the day to day development of products What You’ll Bring Bachelor’s degree in Computer Science, Engineering, or a related quantitative field. 5 years of experience in a Platform Engineering or high-scale Backend role, with a focus on building resilient, distributed systems. 3 years of hands-on experience developing with Large Language Models (LLMs) and designing sophisticated agentic workflows. Extensive experience navigating both Amazon Web Services (AWS) and Google Cloud Platform (GCP), specifically their respective AI and data ecosystems. Deep proficiency in Python and its scientific stack (e.g., PyTorch, TensorFlow, spaCy) for developing high-performance machine learning applications. Must have experience with AI Coding Assistants, specifically Cursor, Copilot or Devin, this is a core requirement for every member of our technical team who writes code. Exceptional troubleshooting skills with a track record of identifying and resolving bottlenecks in complex AI infrastructure. Proven ability to mentor engineering peers, fostering a culture of technical excellence and continuous growth. Strong communication and collaboration skills Preferred Skills FinTech or Mortgage Domain knowledge. Experience in Evaluation Driven Development. Experience in Agile/SCRUM using Jira. Experience with feature flagging and service/API semantic versioning. Experience building and maintaining effective relationships with product managers, architects, technical leads, and business stakeholders. Why You Should Join As one of the top mortgage lenders in the country, Pennymac has helped over 4 million lifetime homeowners achieve and sustain their aspirations of home. Our vision is to be the most trusted partner for home. Together, 4,000 Pennymac team members across the country are guided by our core values: to be Accountable, Reliable and Ethical in all that we do. Pennymac is committed to conducting a business that makes positive contributions and promotes long-term sustainable growth and to fostering an equitable and inclusive environment, where all employees and customers feel valued, respected and supported. Benefits That Bring It Home: Whether you're looking for flexible benefits for today, setting up short-term goals for tomorrow, or planning for long-term success and retirement, Pennymac's benefits have you covered. Some key benefits include: Comprehensive Medical, Dental, and Vision Paid Time Off Programs including vacation, holidays, illness, and parental leave Wellness Programs, Employee Recognition Programs, and onsite gyms and cafe style dining (select locations) Retirement benefits, life insurance, 401k match, and tuition reimbursement Philanthropy Programs including matching gifts, volunteer grants, charitable grants and corporate sponsorships We value the hard work and dedication of our employees. In addition to a competitive salary, positions may offer bonus opportunities. To learn more about our benefits visit: https://pennymacnews.page.link/benefits For residents with state required benefit information, additional information can be found at: https://www.pennymac.com/additional-benefits-information Compensation: Individual salary may vary based on multiple factors including specific role, geographic location / market data, and skills and experience as defined below: Lower in range

• Building skills and experience in the role Mid-range
• Experience and skills align with proficiency in the role Higher in range
• Experience and skills add value above typical requirements of the role Some roles may be eligible for performance-based compensation and/or stock-based incentives awarded to employees based on company and individual performance. Salary $110,000 - $170,000 Work Model OFFICE