loanDepot

Senior Applied AI Engineer (Software Engineering)

loanDepot • $170K — $233K *
Plano, TX 75025In-Person
Information Technology
8 - 10 years of experience
Reposted Today
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Job Overview by Ladders

Qualifications

  • 10+ years technical engineering experience in programming languages like C, C++, C#, Java, JavaScript, or Python.
  • 2+ years experience with Python and machine learning frameworks (e.g., PyTorch, TensorFlow).
  • Experience applying large language models, generative AI, or OSS frameworks to business applications.
  • Successful delivery of large-scale ML/AI applications on cloud platforms (Azure, AWS, or GCP).
  • Strong knowledge of ML algorithms, deep learning, data structures, and optimization techniques.
  • Familiarity with MLOps tools like Docker, Kubernetes, and MLflow for scalable deployments.
  • Advanced degree in AI, ML, Data Science, or related field.

Responsibilities

  • Design, develop, and deliver AI solutions aligning with business requirements.
  • Act as a technical authority in applied AI, setting strategic direction.
  • Oversee large, transformative AI initiatives that impact the organization.
  • Collaborate with leaders to identify AI integration opportunities.
  • Guide deployment of machine learning models to production.
  • Optimize models for performance, scalability, and reliability.
  • Translate advanced AI research into practical solutions.

Benefits

  • Competitive compensation package based on experience and fit.
  • Inclusive and collaborative workplace culture.
  • Opportunities for internal growth and professional development, including tuition reimbursement.
  • Comprehensive benefits package (Medical/Dental/Vision).
  • Wellness programs to support mental and physical health.
  • Generous paid time off policy for all employees.
Full Job Description
Description

Position at loanDepot

Position Summary:

Responsible for serving as a senior technical leader driving the design, development, and deployment of advanced AI solutions that address complex business challenges. Provides deep expertise across domains such as computer vision, natural language processing, recommendation systems, and predictive analytics, while setting strategic direction, establishing best practices, and influencing cross-functional teams to maximize the impact of AI initiatives.

Responsibilities:

  • Designs, develops, and delivers solutions that meet business line and enterprise requirements.
  • Serves as a recognized authority and internal expert in applied AI, shaping the organization's technical direction and strategy.
  • Oversees large, complex and transformative initiatives directly influencing functional and/or enterprise initiatives. Works under consultative direction to achieve objectives.
  • Partners with cross-functional leaders to identify high-impact opportunities for AI integration and defines solution approaches to achieve measurable results.
  • Guides the development and deployment of machine learning models into production, ensuring alignment with business and product requirements.
  • Optimizes model performance, scalability, and reliability to meet enterprise-grade standards.
  • Translates cutting-edge AI research and experimental methods into deployable, value-driven solutions.
  • Establishes robust pipelines for data preparation, training, evaluation, deployment, and ongoing monitoring.
  • Champions responsible AI practices by embedding fairness, transparency, and security into all solutions.
  • Monitors emerging AI trends, frameworks, and tools to inform strategy and maintain a competitive edge.
  • Performs other duties and projects assigned.

Requirements:

  • Minimum five (5) + years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python; C# experience preferred.
  • Two (2) + years' experience in Python, PyTorch, TensorFlow, or other machine learning frameworks.
  • 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.
  • 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.
  • Employees located within a commutable distance of our hub offices (Irvine, Scottsdale, Chandler, Southfield, or Plano) are expected to work on-site four days per week.

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 roles 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.
Learn more about loanDepot
Market Cap
$453.5 million
Industry
Finance & Insurance
Founded
2010
5 Year Trend
+26.8%
NASDAQ
LDI
* Ladders Estimates

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