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!
Base pay range
$70,000.00 / yr - $90,000.00 / yr
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 practicesHands-on experience deploying ML models to productionExperience with common ML libraries like scikit-learn, TensorFlow, or PyTorchBasic understanding of ML fundamentals (algorithms, math / stats), along with strong intuition for how and when to apply different modeling approachesNice-to-Have Qualifications
Familiarity with developing and deploying ML systems using AWS tools and infrastructureExperience with varied data types (structured, time-series)Previous experience with behavioral biometrics or security-focused productsPrevious experience with ONNXBenefits
Flexible working—remote or in-office, whatever suits you bestProject Day once a month—dedicate a day to something you\'re passionate aboutEquity—share directly in our successOpen vacation policy—take time off whenever you needSubscription to online learning resources like O\'Reilly and PluralsightArgentina-based roles include additional perks : business English courses, travel for team events and company meet-ups, and technical books, VPN, and high-end work equipment provided.
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