Machine Learning Engineer (Hybrid)
Enova’s hybrid work model allows employees to work in the office T, W, and TH with the option to work from home on Monday and Friday. The health and safety of Enova’s employees is our number one priority and all employees are required to be fully vaccinated for COVID-19. Proof of vaccination will be requested regardless of work location, unless prohibited by applicable state law. Employees may request an exemption to the vaccination policy due to medical reasons, sincerely-held religious beliefs, or as otherwise permitted by applicable state law.
About the role:
As an Analytics Machine Learning Operations Engineer you will design, develop, test and enhance Enova’s internal tools that enable the Analytics team to seamlessly build, deploy and monitor analytical models. You will use your programming and problem-solving skills to improve automated model building and hosting pipelines. Enova has built a world-class, real-time decisioning platform to power our lending decisions and you’ll have the opportunity to contribute to its continued growth and improvement by writing production-quality code.
What you’ll be doing:
- Use your advanced programming skills and the ability to design, develop and test programs for custom tool development
- Assist analysts in testing and preparing their models for production
- Support model releases to ensure they are quickly and accurately put into production
- Enhance Enova’s real-time decisioning platform by adding new functionalities
- Monitor model performance dashboards and escalate concerns as appropriate
- Support and improve automated model training processes by using your infrastructure, data manipulation, and machine learning skills
- Explore cutting edge tools and new machine learning technologies to assess their suitability and create Proof-Of-Concept solutions to demonstrate value to business stakeholders
We’re excited about you if you have:
- A Bachelors, Masters, or Doctorate degree in Computer Science, Engineering, Statistics, or related degree
- Advanced programming skills and the ability to design, develop and test customized tools. Knowledge of one or more of the following is preferred: Python, R, Go
- Experience working with AWS, Linux/Unix, Docker, and Kubernetes
- Experience providing operational support for high-availability, low-latency production applications in both on-premise and cloud environments
- Knowledge of AWS machine learning technologies (SageMaker, EMR, Glue)
- A demonstrated capacity to learn new languages and technologies quickly
- Knowledge of regression and machine learning techniques
#LI-JK1
About Enova:
Enova is a leading financial technology company providing online financial services through its AI and machine learning powered lending platform. Enova serves the needs of non-prime consumers and small businesses, who are frequently underserved by traditional banks. Enova has provided more than 7 million customers with over $40 billion in loans and financing with market leading products that provide a path for them to improve their financial health. Want to learn more? Just ask any of our almost 1,500 employees.
Our goal at Enova, we believe that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.
