Engineering Manager Machine Learning

Lead Machine Learning Engineer

About

EarnIn is a pioneer in earned wage access, providing real-time financial flexibility for individuals living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We are backed by experienced leadership and world-class funding partners, with a healthy core business and significant runway for growth. As a Fintech company where Machine Learning (ML) is a key driver of impact, we rely on ML models for business decisions and customer experiences. Ensuring we build and deploy state-of-the-art ML capabilities and improve the health and scalability of our ML systems is critical. This role is hybrid from our Bengaluru office.

Responsibilities

• Lead a team of Machine Learning Engineers and ML Analysts to drive core ML initiatives involving multimodal data streams.
• Review designs and drive the launch of efficient and reliable models to drive business impact.
• Find innovative and cost-effective solutions to key problems, and deliver high-quality code.
• Work with product managers/machine learning engineers/performance quality engineers to take the product to market.
• Enable the team to train and deploy state-of-the-art multi-task deep learning and/or statistical model pipelines, considering use-case, complexity, performance, and robustness.
• Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems.
• Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements, and define the scope of the systems needed.
• Work closely with data platform teams to enable robust, scalable batch and real-time data pipelines.
• Drive high engineering standards on the team through mentoring and knowledge-sharing.
• Drive engineering best practices around code reviews, automated testing, and monitoring.

Requirements

• 2+ years of experience working in managing and leading a team of ML Engineers, driving product initiatives and impact.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in ML engineering and extensive knowledge of machine learning algorithms.
• 2+ years of experience collaborating closely with product, analytics, engineering, and/or other partners to drive impact and be the POC from ML to initiate impactful ideas from scratch.
• Hands-on experience with the architectural patterns for large-scale software applications.
• Industry experience building and productionizing machine learning systems.
• Strong oral and written communication skills.