Machine Learning Engineer

Summary

Join TWOSENSE.AI, a company revolutionizing identity security with AI-powered behavioral biometrics, as a Machine Learning Engineer. You will build and maintain our production ML pipeline, develop streamlined ML workflows, write clean Python code using test-driven development, collaborate with founders and researchers, and optimize our infrastructure. We offer a flexible, remote-first work environment and a strong engineering culture. As an early team member, you'll have significant influence on our strategy and your career growth. We are committed to providing a supportive and rewarding work environment with various benefits.

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

Responsibilities

• 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

Preferred Qualifications

• 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