Machine Learning Engineer II

LPL Financial • San Diego, CA

1d • $49 - $81 • Hybrid

About The Position

Machine Learning Engineer II LPL Financial What if you could build a career where ambition meets innovation? At LPL Financial, we empower professionals to shape their success while helping clients pursue their financial goals with confidence. What if you could have access to cutting‑edge resources, a collaborative environment, and the freedom to make an impact? If you're ready to take the next step, discover what’s possible with LPL Financial. Job Overview We are seeking a Machine Learning Engineer II to design, develop, and deploy machine learning solutions that support business intelligence, operational efficiencies, and enhanced client experiences. This role includes ownership of end‑to-end machine learning initiatives and collaboration with cross‑functional teams to deliver scalable, production‑ready models. What are we looking for? We are seeking individuals who work effectively in collaborative, fast‑paced environments and who contribute to consistent and reliable delivery. Candidates should demonstrate accountability, clear communication, adaptability, and a commitment to continuous improvement. Company Overview: LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com. At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients. For further information about LPL, please visit www.lpl.com. Join LPL Financial: Where Your Potential Meets Opportunity At LPL Financial, we believe that everyone deserves objective financial guidance. As the nation’s leading independent broker-dealer, we offer an integrated platform of cutting-edge technology, brokerage, and investment advisor services. Why LPL? Innovative Environment: We foster creativity and growth, providing a supportive and responsive leadership team. Learn more about our leadership team here! Limitless Career Potential: Your career at LPL has no limits, only amazing potential. Learn more about our careers here! Unified Mission: We are one team on one mission—taking care of our advisors so they can take care of their clients. Learn more about our mission and values here! Impactful Work: Our size is just right for you to make a real impact. Learn more here! Commitment to Equality: We support workplace equality and embrace diverse perspectives and backgrounds. Learn more here! Community Focus: We care for our communities and encourage our employees to do the same. Learn more here! Benefits and Total Rewards: Our Total Rewards package goes beyond just compensation and insurance. It includes a mix of traditional and unique benefits, perks, and resources designed to enhance your life both at work and at home. Learn more here! Join the LPL team and help us make a difference by turning life’s aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE. Information on Interviews: LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at [phone]. EAC12.9.25 LPL Financial is the nation’s largest independent broker-dealer. Our company is widely known for its financial strength, exceptional service, and favorable industry reputation among financial professionals. To understand who we are, it’s important to know our core belief: financial guidance is a fundamental need for everyone. LPL Financial creates the space to let you do what you do best – create personal, long-term client relationships that turn financial aspirations into realities. Each year, thousands of financial professionals successfully manage billions of dollars in assets. Because our company is not too big and not too small, you can seize the opportunity to make a real impact. To learn more about our organization visit our About LPL page. As reported by Financial Planning magazine, June 1996-2019, based on total revenue. Want to learn more about the benefits of working at LPL? Check out the links below!

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field; PhD preferred but not required.
• 3+ years of experience developing and deploying machine learning models in production environments.
• Proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, and Scikit‑learn.
• 3+ years of experience with cloud platforms (AWS, Azure, or GCP) supporting ML workflows.
• Knowledge of machine learning algorithms, model evaluation techniques, and production‑level model integration.
• Experience with MLOps principles, including deployment automation, monitoring, and model lifecycle management.
• Proficiency in SQL and experience working with large datasets; experience with Spark is preferred.
• Demonstrated analytical and problem‑solving abilities.
• Ability to present and explain technical concepts to technical and non-technical audiences.

Responsibilities

• Manage the full lifecycle of machine learning development, including data exploration, feature engineering, model development, and production deployment.
• Collaborate with product managers, data scientists, and engineering teams to ensure alignment between technical solutions and business requirements.
• Design and implement scalable machine learning pipelines supported by CI/CD practices.
• Monitor and maintain model performance, reliability, and compliance with security and regulatory standards.

Benefits

• LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play – such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees