Remote Otter LogoRemoteOtter

Machine Learning Engineer - Remote

Posted 7 days ago
Software Development
Full Time
USA

Overview

We're looking for a Machine Learning Engineer who loves building real products and shipping code. If you enjoy owning production systems, solving tough engineering problems, and bringing cool ML research into real-world applications, you’ll love it here!

In Short

  • Build and maintain our production ML pipeline—including ETL processes, data cleaning, preprocessing, feature extraction, training, evaluation, deployment, and monitoring.
  • Develop streamlined ML workflows to effectively support our production systems.
  • Write clean, maintainable Python code using test-driven or test-first development practices.
  • Collaborate closely with founders and researchers to bring ML ideas to life—with opportunities to participate directly in research projects.
  • Optimize our infrastructure to handle growth and scale effectively.

Requirements

  • Experience in building and maintaining ML pipelines.
  • Proficiency in Python programming.
  • Familiarity with ETL processes and data preprocessing.
  • Ability to work collaboratively in a team environment.
  • Strong problem-solving skills.

Benefits

  • Flexible remote work environment.
  • Opportunity to shape strategy and trajectory as an early team member.
  • Work with a team of PhDs and exceptional software engineers.
  • Focus on continuous improvement and strong engineering culture.
  • Direct involvement in research projects.
TWOSENSE.AI logo

TWOSENSE.AI

TWOSENSE.AI is a pioneering company focused on revolutionizing identity security through AI-powered behavioral biometrics. Based in Brooklyn, NYC, the company aims to eliminate the frustrations associated with traditional security measures like passwords and two-factor authentication by creating a seamless, invisible biometric system that recognizes individuals based on their unique behaviors. Founded and led by engineers, TWOSENSE.AI values transparency, autonomy, and continuous improvement within its strong engineering culture. The team, composed of PhDs and exceptional software engineers, is currently fully remote and emphasizes flexibility, allowing early team members to significantly influence the company's strategy and their own career growth.

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