Senior Machine Learning Engineer
Senior Machine Learning Engineer
Senior Machine Learning Engineer, New York, New York, us, 10261
MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, personalization; and shortening the distance to an informed action.
In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience. MoneyLion’s enterprise technology provides the definitive search engine and marketplace for financial products, enabling any company to add embedded finance to their business, with advanced AI-backed data and tools through our platform and API. Established in 2013, MoneyLion connects millions of people with the financial products and content they need, when and where they need it.
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. You will work closely with the Tech Lead to help build and maintain the ML Ops infrastructure that powers the platform. This is a unique opportunity to contribute to both the platform’s infrastructure and innovative data products, making it ideal for individuals interested in both 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 the products meet business needs and support efficient workflows.
Contribute to major changes in the ML Ops platform, 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 their 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, with experience in key data science libraries such as Pandas, NumPy, scikit-learn, etc.
Familiarity with infrastructure tools (e.g., Docker, Kubernetes, Datadog, AWS, Github Actions, etc.) is preferred.
Strong problem-solving skills and ability to collaborate effectively with data scientists, engineers, and other stakeholders.
A team player with a passion for both data products and platform engineering, and 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. Base salary is one component of MoneyLion's total compensation package, which includes, 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 a candidate’s qualifications, experience, skills, and competencies related to the role.
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 ready to give 100% in 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. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.
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In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience. MoneyLion’s enterprise technology provides the definitive search engine and marketplace for financial products, enabling any company to add embedded finance to their business, with advanced AI-backed data and tools through our platform and API. Established in 2013, MoneyLion connects millions of people with the financial products and content they need, when and where they need it.
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. You will work closely with the Tech Lead to help build and maintain the ML Ops infrastructure that powers the platform. This is a unique opportunity to contribute to both the platform’s infrastructure and innovative data products, making it ideal for individuals interested in both 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 the products meet business needs and support efficient workflows.
Contribute to major changes in the ML Ops platform, 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 their 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, with experience in key data science libraries such as Pandas, NumPy, scikit-learn, etc.
Familiarity with infrastructure tools (e.g., Docker, Kubernetes, Datadog, AWS, Github Actions, etc.) is preferred.
Strong problem-solving skills and ability to collaborate effectively with data scientists, engineers, and other stakeholders.
A team player with a passion for both data products and platform engineering, and 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. Base salary is one component of MoneyLion's total compensation package, which includes, 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 a candidate’s qualifications, experience, skills, and competencies related to the role.
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 ready to give 100% in 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. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.
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