Machine Learning Engineer

Role Overview

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 work closely with data platform teams to enable robust, scalable batch and real-time data pipelines. You will also partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements, and define the scope of the systems needed.

What You Will Do

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.

Why It Might Be a Fit

We're looking for a Machine Learning Engineer with a strong background in machine learning algorithms, experience with architectural patterns for large-scale software applications, and industry experience building and productionizing machine learning systems.

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

Benefits

• healthcare
• internet/cell phone reimbursement
• learning and development stipend
• opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site