Machine Learning Engineer

Company: Alleviate
Location: Irvine
Posted on: March 25, 2025

Job Description:

Machine Learning Engineer - Unlock the Power of Data!Are you ready to make an impact with cutting-edge machine learning? At Alleviate, we're harnessing the power of AI to revolutionize settlement success, payment behavior, and risk assessment. As a Machine Learning Engineer, you'll develop and deploy predictive models that drive smarter decision-making, working with Snowflake, Microsoft Fabric, and Azure Databricks to scale our ML capabilities. If you're passionate about ML, big data, and real-world impact, let's build something incredible together!About Us:At Alleviate Financial Solutions, we're transforming lives every day by offering innovative debt relief solutions. As one of the fastest-growing companies in the industry, we are on a mission to help individuals and families regain financial freedom and build a brighter future.Our vision? To become the next-generation financial services company that guides people from debt to WEALTH.Why You'll Love Working Here:

• Opportunities for career growth and advancement.
• A supportive, mission-driven team passionate about making a difference.
• Company perks like swag, catered lunches, teambuilding activities, and quarterly events.
• State-of-the-art amenities, including designer living rooms, wellness spaces, cafes, and a fitness center.
• A culture of recognition, appreciation, and celebration.
• Our 30,000 sq. ft. headquarters in Irvine, CA is more than just an office-it's a second home where collaboration, growth, and innovation thrive.COMPENSATION:
  • $110,000 - $130,000 depending on experienceWHAT MAKES US THE BEST?
    • Energetic, supportive, and collaborative working environment
    • Continuous employee development, coaching, and training
    • Work-life balanceWHAT YOU'LL DO:This role is responsible for bridging advanced machine learning with enterprise-grade data ecosystems. The Machine Learning Engineer develops and refines predictive models to drive decision-making in settlement success, payment behavior, and risk assessment.
      • Design, develop, and train predictive models using techniques such as regression, classification, and anomaly detection.
      • Evaluate model performance using appropriate metrics, ensuring models meet business needs.
      • Collaborate with the data team to extract, clean, and preprocess datasets from Snowflake and Microsoft Fabric.
      • Integrate data seamlessly into Azure-based ML workflows via Azure Databricks.
      • Stay updated on industry trends in machine learning and predictive analytics.
      • Experiment with cutting-edge algorithms to continuously improve prediction accuracy.
      • Work closely with DevOps to integrate and deploy models as REST API endpoints for use across our systems.
      • Collaborate on the transition of prototypes into scalable production solutions within the Azure environment.
      • Engage with stakeholders across product, sales, and customer service to translate business requirements into technical solutions.
      • Communicate model findings and improvements clearly to both technical and non-technical teams.
      • Follow all policies and procedures for the department and Company, including personnel policies and expectations as outlined in the Employee Handbook.
      • Other duties as assigned.WHAT MAKES YOU A GOOD FIT:
        • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field
        • Proven experience in developing machine learning models, with a strong portfolio of predictive analytics projects.
        • Proficiency in Python or R, and familiarity with libraries like scikit-learn, TensorFlow, or PyTorch.
        • Experience with cloud-based data platforms, particularly Snowflake and Microsoft Fabric, as well as hands-on experience with Azure Databricks.
        • Solid understanding of REST API integration and an interest in exploring GraphQL for data access.
        • Previous work in financial services, legal tech, or related sectors.
        • Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines in an Azure context.
        • Excellent communication skills and a collaborative mindset.ADDITIONAL PERKS & BENEFITS:
          • Health, dental, and vision benefits available after 30 days of employment
          • Ancillary benefits including legal services, disability insurance, Employee Assistance Program, and much more!
          • 80 hours of PTO, 40 hours of Sick Pay, and 2 Health & Wellness Days
          • Paid holidays
          • 401(k) that can be elected from day 1 of employment!
          • The opportunity to work alongside an incredible group of people who are all driven to help othersJob Type: Full-time ExemptSchedule: 8-hour shift, Monday to FridayLocation: Irvine, CAWe understand potential comes in many forms. Even if you don't check every box, we still encourage you to apply; as we consider all qualified candidates, and any person who is driven to help others.Alleviate Financial Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.This position must pass a post-offer pre-employment criminal background check.
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Keywords: Alleviate, Irvine , Machine Learning Engineer, Engineering , Irvine, California