Machine Learning Engineer - Remote

Overview

As a Machine Learning Engineer at BJAK, you'll develop and deploy models that power key features in financial services, impacting millions of users.

In Short

• Design and scale ML solutions for user experience and operational efficiency.
• Contribute to production-grade systems used by millions.
• Collaborate with cross-functional teams across product, data, and engineering.
• Work in a fast-paced environment with a focus on real-world solutions.

Requirements

• Bachelor's or Master's degree in Computer Science or related field.
• 2 - 4 years of experience in machine learning or backend software development.
• Proficient in Python and experienced with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of ML development lifecycle.
• Experience deploying models in production via APIs or cloud infrastructure.
• Familiar with version control tools (Git) and collaborative coding practices.
• Strong problem-solving and teamwork skills.
• Must be based in the US and able to work remotely.

Benefits

• Competitive salary and performance-based bonuses.
• Flexible, remote-first work from anywhere in the US.
• High-impact role with visibility across product and engineering.
• Flat structure with a focus on employee input.
• Fast learning curve with growth opportunities.
• Exposure to Southeast Asia’s fintech markets.