Machine Learning Engineer (Remote) Job at TWOSENSE.AI in New York
TWOSENSE.AI, New York, NY, United States
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!
Identity security today sucks. People hate passwords, 2FA codes, and security questions; it\'s an endless cycle of frustration. At TWOSENSE.AI, we\'re fixing this using AI-powered behavioral biometrics. The system we created automatically recognizes people by their unique behaviors—how you type, move the mouse, or even walk—creating the world\'s first invisible, private biometric. No passwords, no puzzles—just seamless security that\'s always on. Our mission is to fundamentally change secure human-computer interactions, making forgotten passwords and frustrating authentication a thing of the past.
We\'re an engineer-founded and led team of PhDs and exceptional software engineers based in Brooklyn, NYC. Transparency, autonomy, continuous improvement, and strong engineering culture matter deeply to us. Right now, we\'re fully remote and plan to stay flexible for the foreseeable future. As an early team member, you\'ll directly shape our strategy, trajectory, and your own career as you grow with us.
What You\'ll Do 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.
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.
Salary Argentina - $70,000 - $90,000
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.
Argentina-based Perks Business English courses.
Travel for team events and company meet-ups.
Technical books, VPN, and high-end work equipment provided.
We\'re growing fast, and you\'ll have plenty of opportunities to shape the company, influence our direction, and rapidly grow your career.
#J-18808-Ljbffr
In Summary: TWOSENSE.AI is looking for a Machine Learning Engineer who loves building real products and shipping code . We're growing fast, and you'll have plenty of opportunities to shape the company, influence our direction, and rapidly grow your career . We\'re an engineer-founded and led team of PhDs and exceptional software engineers .
En Español: En TWOSENSE.AI, estamos solucionando esto usando biometría conductual impulsada por IA. El sistema que creamos reconoce automáticamente a las personas por sus comportamientos únicos: cómo se escribe correctamente, mueve el ratón o incluso crea la primera biométrica privada invisible del mundo. No hay contraseñas, ningún rompecabezas 'solo seguridad sin costumbres que siempre está basada en ella. Nuestra misión remota es cambiar fundamentalmente las interacciones entre humanos y computadoras, palabras clave olvidadas y frustrar una cosa segura basada en un futuro de ingenieros e ingenieros innovadores. Como miembro del equipo inicial, usted dará forma directa a nuestra estrategia, trayectoria y su propia carrera mientras crece con nosotros. Lo que hará Construir y mantener nuestro pipeline de producción ML incluyendo procesos ETL, limpieza de datos, procesamiento previo, extracción de características, capacitación, evaluación, implementación y monitoreo. Desarrollar flujos de trabajo simplificados de ML para apoyar eficazmente nuestros sistemas de producción. Escribir código Python limpio y mantenible utilizando prácticas de desarrollo basadas en pruebas o ensayos por primera vez. Colaborar estrechamente con los fundadores e investigadores para llevar las ideas de ML a la vidacon oportunidades de participar directamente en proyectos de investigaciónOptimizar nuestras infraestructuras para manejar el crecimiento y escalar de manera efectiva. Debes tener calificaciones Fuertes habilidades de ingeniería de software basada en principios profesionales y mejores prácticas AWS Proyectos. Aprovecharás experiencias técnicas de aprendizaje SOLICs para desarrollar libros rápidos. Experiencia familiar con equipos de trabajo como OpenMedia LibreOffice® tiene una gran cantidad de recursos disponibles en línea (como un sistema de conocimientos básicos) Optometría de tiempo avanzado, experiencia básica de trabajo, etc. Cuando puedas implementar tus propias tecnologías de seguridad y aplicaciones, puedes utilizar nuestras herramientas tradicionales y programas informáticos de negocios (excurriculares).
Identity security today sucks. People hate passwords, 2FA codes, and security questions; it\'s an endless cycle of frustration. At TWOSENSE.AI, we\'re fixing this using AI-powered behavioral biometrics. The system we created automatically recognizes people by their unique behaviors—how you type, move the mouse, or even walk—creating the world\'s first invisible, private biometric. No passwords, no puzzles—just seamless security that\'s always on. Our mission is to fundamentally change secure human-computer interactions, making forgotten passwords and frustrating authentication a thing of the past.
We\'re an engineer-founded and led team of PhDs and exceptional software engineers based in Brooklyn, NYC. Transparency, autonomy, continuous improvement, and strong engineering culture matter deeply to us. Right now, we\'re fully remote and plan to stay flexible for the foreseeable future. As an early team member, you\'ll directly shape our strategy, trajectory, and your own career as you grow with us.
What You\'ll Do 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.
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.
Salary Argentina - $70,000 - $90,000
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.
Argentina-based Perks Business English courses.
Travel for team events and company meet-ups.
Technical books, VPN, and high-end work equipment provided.
We\'re growing fast, and you\'ll have plenty of opportunities to shape the company, influence our direction, and rapidly grow your career.
#J-18808-Ljbffr
In Summary: TWOSENSE.AI is looking for a Machine Learning Engineer who loves building real products and shipping code . We're growing fast, and you'll have plenty of opportunities to shape the company, influence our direction, and rapidly grow your career . We\'re an engineer-founded and led team of PhDs and exceptional software engineers .
En Español: En TWOSENSE.AI, estamos solucionando esto usando biometría conductual impulsada por IA. El sistema que creamos reconoce automáticamente a las personas por sus comportamientos únicos: cómo se escribe correctamente, mueve el ratón o incluso crea la primera biométrica privada invisible del mundo. No hay contraseñas, ningún rompecabezas 'solo seguridad sin costumbres que siempre está basada en ella. Nuestra misión remota es cambiar fundamentalmente las interacciones entre humanos y computadoras, palabras clave olvidadas y frustrar una cosa segura basada en un futuro de ingenieros e ingenieros innovadores. Como miembro del equipo inicial, usted dará forma directa a nuestra estrategia, trayectoria y su propia carrera mientras crece con nosotros. Lo que hará Construir y mantener nuestro pipeline de producción ML incluyendo procesos ETL, limpieza de datos, procesamiento previo, extracción de características, capacitación, evaluación, implementación y monitoreo. Desarrollar flujos de trabajo simplificados de ML para apoyar eficazmente nuestros sistemas de producción. Escribir código Python limpio y mantenible utilizando prácticas de desarrollo basadas en pruebas o ensayos por primera vez. Colaborar estrechamente con los fundadores e investigadores para llevar las ideas de ML a la vidacon oportunidades de participar directamente en proyectos de investigaciónOptimizar nuestras infraestructuras para manejar el crecimiento y escalar de manera efectiva. Debes tener calificaciones Fuertes habilidades de ingeniería de software basada en principios profesionales y mejores prácticas AWS Proyectos. Aprovecharás experiencias técnicas de aprendizaje SOLICs para desarrollar libros rápidos. Experiencia familiar con equipos de trabajo como OpenMedia LibreOffice® tiene una gran cantidad de recursos disponibles en línea (como un sistema de conocimientos básicos) Optometría de tiempo avanzado, experiencia básica de trabajo, etc. Cuando puedas implementar tus propias tecnologías de seguridad y aplicaciones, puedes utilizar nuestras herramientas tradicionales y programas informáticos de negocios (excurriculares).