Senior Machine Learning Engineer

MoneyLion is a leader in financial technology, powering the next generation of personalized products and content. We provide a top consumer finance super app, a premier embedded finance platform for enterprise businesses, and a world-class media arm. Our mission is to give everyone the power to make their best financial decisions by providing confidence through guidance, choice, and personalization. Our go-to money app delivers curated content on finance and related topics, allowing people to take control of their finances with an innovative suite of features for saving, borrowing, spending, and investing, all integrated within our platform and API.

About The Role: We are seeking a Senior Machine Learning Engineer to join our Data Science team. In this role, you will take ownership of a high-revenue, state-of-the-art data product, managing its development, deployment, and ongoing optimization. This includes working closely with the Tech Lead to build and maintain the ML Ops infrastructure that powers the platform. This unique opportunity to contribute to both the platform’s infrastructure and innovative data products makes it ideal for individuals interested in software engineering and machine learning solutions. This role is located on-site 4 days a week at our headquarters in Chelsea, NYC.

Key Responsibilities:

• Take ownership of a high-revenue data product, managing its development, deployment, and optimization.
• Lead the development and management of additional data products, ensuring scalability and alignment with business goals.
• Collaborate with data scientists and engineers to ensure products meet business needs and efficient workflows.
• Contribute to major changes in the ML Ops platform by working closely with the Tech Lead.
• Help build and maintain infrastructure components, including data pipelines, version control, and CI/CD systems.
• Work closely with data scientists to understand needs and improve platform support for rapid experimentation and deployment.

About You:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• 4-6 years of experience in building, deploying, and maintaining data-driven products or machine learning models.
• Strong understanding of software engineering principles and object-oriented programming.
• Proficiency in Python and experience with data science libraries such as Pandas, NumPy, and scikit-learn.
• Familiarity with infrastructure tools (e.g., Docker, Kubernetes, Datadog, AWS, Github Actions) is preferred.
• Strong problem-solving skills and the ability to collaborate effectively with data scientists, engineers, and stakeholders.
• A team player with a passion for data products and platform engineering, with a desire to grow in both areas.

The annual base salary for the Senior Machine Learning Engineer is expected to be between $160,000 to $170,000, which is part of a comprehensive compensation package including 401(k) match, multiple health insurance options, disability coverage, life insurance, and unlimited paid time off for salaried positions. Actual salaries will vary based on qualifications, experience, skills, and competencies.

What We Value: We value growth-minded and collaborative people with high learning agility who embody our core values of teamwork, customer-first, and innovation. Every member of the MoneyLion Team is passionate about fintech and committed to helping us achieve our mission.

Working At MoneyLion: At MoneyLion, we want you to be well and thrive. Our generous benefits package includes:

• Competitive salary packages
• Comprehensive medical, dental, vision, and life insurance benefits
• Wellness perks
• Paid parental leave
• Generous Paid Time Off
• Learning and Development resources
• Flexible working hours

MoneyLion is committed to equal employment opportunities for all employees. Every decision we make regarding our employees is based on merit, competence, and performance, free of discrimination. We strive to build a team that represents a variety of backgrounds, perspectives, and skills, ensuring that no one feels 'other' within our team. We realize the full promise of diversity and encourage you to bring your whole self to work every single day.