Description
As a Machine Learning Engineer at EarnIn, you will design, build, and launch efficient and reliable machine learning models to drive business impact. You will train and validate state-of-the-art multi-modal, multi-task deep learning models as well as statistical models, considering use-case, complexity, performance, and robustness. You will demonstrate end-to-end understanding of applications and develop a deep understanding of the "why" behind our models & systems. You will partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements, and define the scope of the systems needed. You will work closely with data platform teams to enable robust, scalable batch and real-time data pipelines. You will drive high ML and engineering standards on the team through mentoring and knowledge sharing. You will drive engineering best practices around code reviews, automated testing, and monitoring.
Responsibilities:
- Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact
- Train and validate state-of-the-art multi-modal, multi-task deep learning models as well as statistical models, 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 ML and engineering standards on the team through mentoring and knowledge sharing. Drive engineering best practices around code reviews, automated testing, and monitoring
Requirements:
- MS degree or PhD degree in Computer Science or a related technical field
- 3+ years of experience in ML engineering
- Strong programming skills in Python and data engineering skills
- Extensive knowledge of machine learning algorithms
- Hands-on experience with architectural patterns for large-scale software applications
- Industry experience building and productionizing machine learning systems
- Strong oral and written communication skills
- Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs)
- Experience in NLP or CV is a plus