Minimum 10+ years of technical experience in programming languages such as C, C++, C#, Java, JavaScript, or Python.
2+ years of experience with Python and machine learning frameworks like PyTorch or TensorFlow.
Proven ability to implement large language models and generative AI for business solutions.
Experience delivering large-scale ML/AI applications on cloud platforms like Azure, AWS, or GCP.
Strong understanding of ML algorithms and deep learning architectures.
Familiarity with MLOps practices for scalable AI/ML deployments.
Advanced degree in AI, ML, Data Science, or a related field.
Responsibilities
Designs and delivers AI solutions that align with business and enterprise objectives.
Acts as an internal expert, influencing the organization’s AI strategy and direction.
Oversees and manages transformative AI initiatives.
Collaborates with cross-functional leaders to identify and pursue high-impact AI opportunities.
Guides the deployment of machine learning models and optimizes performance.
Establishes robust data pipelines for AI model training, deployment, and monitoring.
Champions responsible AI practices by integrating fairness and security into solutions.
Benefits
Inclusive and diverse team culture that fosters collaboration.
Opportunities for professional development and tuition reimbursement.
Comprehensive medical, dental, and vision insurance.
Wellness program to support mental and physical health.
Generous paid time off policies.
Full Job Description
Description
Position at loanDepot
Position Summary:
Responsible for leading the design, development, and deployment of AI-driven solutions that address complex business challenges across domains such as computer vision, natural language processing, recommendation systems, and predictive analytics. Oversees project execution, mentors engineering teams, and partners with cross-functional stakeholders to ensure scalable, high-impact AI applications are successfully delivered and aligned with business strategy.
Responsibilities:
Serves as a subject matter expert and strategic advisor on applied AI, guiding stakeholders on opportunities, risks, and best practices.
Supports the delivery of large, complex and transformative functional and/or enterprise initiatives with minimal oversight.
Collaborates with cross-functional teams to identify opportunities for AI integration, providing input into solutions and implementation of plans.
Evaluates business and product requirements to architect, deploy, and operationalize machine learning models in production environments.
Enhances model performance, scalability, and reliability for real-world applications, balancing accuracy with efficiency.
Translates cutting-edge research and experimental models into practical, deployable solutions that create business value.
Develops and maintains end-to-end AI pipelines, including data ingestion, pre-processing, model training, validation, deployment, and monitoring.
Champions responsible AI practices by embedding principles of fairness, transparency, security, and compliance into solutions.
Continuously researches and applies emerging AI frameworks, tools, and techniques to advance enterprise AI capabilities.
Performs other duties and projects assigned.
Requirements:
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field (Master's preferred or equivalent industry experience).
Minimum six (6) + years of hands-on engineering experience with proficiency in one or more programming languages (Python, Java, C++, C#, or JavaScript).
One (1) + years of experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn, including deployment of models to production.
Proven experience applying large language models (LLMs), generative AI, or OSS agent-based frameworks to business solutions.
Demonstrated success delivering at least one large-scale ML/AI application or service on a cloud platform (Azure, AWS, or GCP).
Strong understanding of ML algorithms, deep learning architectures, data structures, and applied optimization techniques.
Familiarity with MLOps practices and tools (Docker, Kubernetes, MLflow, etc.) for scalable AI/ML deployments.
Ability to translate research and experimental AI approaches into practical, enterprise-grade solutions.
Excellent analytical, problem-solving, and communication skills, with the ability to influence stakeholders and drive alignment.
Proficiency with productivity tools such as Microsoft Office and collaboration platforms (Word, Excel, PowerPoint, Outlook, Teams).
Preferred Requirements:
Advanced degree (M.S. or Ph.D.) in AI, ML, Data Science, or a related field.
Experience with transformers, edge AI, federated learning, or real-time inference systems.
Track record of contributions to open-source AI projects, patents, or published research.
Why work for #teamloanDepot:
Work with other passionate, purposeful, and customer-centric team members.
Inclusive, diverse, and collaborative culture where people from all backgrounds can thrive.
Extensive internal growth and professional development opportunities including tuition reimbursement.
Comprehensive benefits package including Medical/Dental/Vision.
Wellness program to support both mental and physical health.
Generous paid time off options to support work-life balance.
Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay for this role is between $170,000 and $233,000. Your base pay will depend on multiple individualized factors, including your job-related knowledge/skills, qualifications, experience, and market location.
About loanDepot
LoanDepot, sometimes stylized as loanDepot, is a Lake Forest, California-based holding company which sells mortgage and non-mortgage lending products. In 2015, the company claimed to be the second largest non-bank provider of direct-to-consumer loans in the United States.
LoanDepot was founded in 2010 by entrepreneur Anthony Hsieh, who had previously founded mortgage companies LoansDirect.com which he sold to E*Trade, and HomeLoanCenter.com, which he sold to LendingTree. The company's products at the time included fixed rate, jumbo, FHA and home equity loans, in addition to more controversial adjustable-rate mortgages and negative amortization products.
In November 2015, the company postponed a planned IPO, citing poor market conditions.
In March 2017, the company introduced technology to automate the loan process, allowing customers to apply for a mortgage without talking to a loan officer.
In January 2018, the company announced two products as part of its technology platform, now called Mello, a home improvement unit to allow contractors to offer financing to customers, and Mello Home, a platform to connect pre-approved buyers to realtors.
In September 2019, the company partnered with Century 21 Redwood Realty to form a new mortgage platform for the mid-Atlantic area, Day 1 Mortgage.
loanDepot went public on the New York Stock Exchange on February 11, 2021 under the ticker symbol LDI.
