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!

MUST-HAVE QUALIFICATIONS:

• 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.

NICE-TO-HAVE 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.

• 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.