Senior Machine Learning Engineer

Who you are

You have 5+ years of experience in machine learning engineering, with a strong background in developing and deploying machine learning models in production environments. You understand the intricacies of transforming ML algorithms into high-performance code that can scale effectively. Your expertise in Python allows you to implement sophisticated algorithms while ensuring robustness and reliability in the systems you build.

You are familiar with DevOps practices and understand the importance of monitoring and logging in machine learning systems. Your experience includes working with cloud platforms, particularly AWS, to deploy and manage machine learning applications. You are comfortable collaborating with cross-functional teams to integrate machine learning solutions into broader business processes.

You possess strong problem-solving skills and can navigate complex challenges in machine learning, from data preprocessing to model evaluation. You are passionate about leveraging technology to improve financial products and enhance user experiences, particularly for those living paycheck to paycheck.

Desirable

Experience with MLOps tools and frameworks is a plus, as is familiarity with containerization technologies like Docker. You may also have experience in financial technology, which would be beneficial in understanding the unique challenges in this sector.

What you'll do

As a Senior Machine Learning Engineer at Earnin, you will be responsible for the design, implementation, and maintenance of machine learning models that drive key business decisions. You will work closely with product teams to understand user needs and translate them into effective machine learning solutions. Your role will involve ensuring the health and scalability of these systems, which are critical to the company's operations.

You will implement sophisticated machine learning algorithms and monitor their performance in real-time, making adjustments as necessary to optimize outcomes. Your work will include developing robust logging and alerting systems to ensure that any issues are quickly identified and addressed. You will also collaborate with DevOps teams to streamline the deployment process and enhance the overall efficiency of machine learning operations.

In addition to technical responsibilities, you will mentor junior engineers and contribute to the development of best practices within the team. You will participate in code reviews and provide feedback to ensure high-quality standards are maintained across all projects. Your contributions will directly impact the user experience for Earnin's community members, helping them access their earnings in a flexible and efficient manner.

What we offer

Earnin provides a hybrid work environment, allowing you to collaborate with your team in the Bengaluru office while also offering flexibility for remote work. We offer competitive employee benefits, including healthcare, internet and cell phone reimbursement, and a learning and development stipend to support your professional growth. Join us in shaping the future of financial technology and making a meaningful impact on the lives of our users.