Machine Learning Engineer (Remote)

TWOSENSE.AI; Argentina; A distancia; ARS 102.526.000 - 131.820.000; Jornada completa

Descripción de la vacante

A leading AI company is seeking a Machine Learning Engineer to build and maintain production ML pipelines. You'll be responsible for developing workflows, deploying models, and collaborating with a team of PhDs. The ideal candidate has strong engineering skills, experience with ML libraries, and a passion for innovative security solutions. This role offers flexible working arrangements and opportunities for professional growth.

Servicios

Flexible working arrangements

Project Day once a month

Equity sharing

Open vacation policy

Subscription to online learning resources

Business English courses

Formación

• Grounded in SOLID principles and best practices.
• Hands-on experience deploying ML models to production.
• Familiarity with data types (structured, time-series) is desirable.

Responsabilidades

• Build and maintain our production ML pipeline.
• Develop streamlined ML workflows to support production systems.
• Write clean, maintainable Python code using test-driven development.

Conocimientos

Strong software engineering skills

Hands-on experience deploying ML models

Experience with ML libraries (scikit-learn, TensorFlow, PyTorch)

Basic understanding of ML fundamentals

Descripción del empleo

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!

Why Us:

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 ranges:

• United States - $140,000 - $180,000
• Argentina - $70,000 - $90,000

We genuinely care about our people. Here\'s how:

• 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.

Extra perks for our Argentina-based folks:

• 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.