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Twosense

Continuous Multi-Factor Authentication Powered by Passive Biometrics. Designed for Contact Center Identity.

Machine Learning Engineer

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteSeniorTeam 1-10H1B No SponsorCompany SiteLinkedIn

Location

Argentina

Posted

108 days ago

Salary

$70K - $90K / year

Seniority

Senior

Job Description

Machine Learning Engineer

Twosense

• 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.

Job Requirements

  • Strong software engineering skills—grounded in SOLID principles and best practices.
  • Hands-on experience deploying ML models to production.
  • Experience with common ML libraries like scikit-learn, TensorFlow, or PyTorch.
  • Basic understanding of ML fundamentals (algorithms, math/stats), along with strong intuition for how and when to apply different modeling approaches.
  • Familiarity with developing and deploying ML systems using AWS tools and infrastructure.
  • Experience with varied data types (structured, time-series).
  • Previous experience with behavioral biometrics or security-focused products.
  • Previous experience with ONNX.

Benefits

  • Flexible working—remote or in-office, whatever suits you best.
  • Project Day once a month—dedicate a day to something you’re passionate about.
  • Equity—share directly in our success.
  • Open vacation policy—take time off whenever you need.
  • Subscription to online learning resources like O'Reilly and Pluralsight.
  • Business English courses.
  • Travel for team events and company meet-ups.
  • Technical books, VPN, and high-end work equipment provided.

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We craft software with people we love.

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