Remote Machine Learning Engineer (Remote)

Description:

• We are looking for a Machine Learning Engineer who enjoys building real products and shipping code.
• The role involves owning production systems, solving engineering problems, and applying ML research to real-world applications.
• The company, TWOSENSE.AI, is focused on improving identity security through AI-powered behavioral biometrics, eliminating the need for passwords and frustrating authentication methods.
• The team is composed of PhDs and exceptional software engineers based in Brooklyn, NYC, and values transparency, autonomy, continuous improvement, and a strong engineering culture.
• The position is fully remote with plans for continued flexibility.
• As an early team member, you will have the opportunity to shape the company's strategy and your own career growth.
• Responsibilities include building and maintaining the production ML pipeline, developing ML workflows, writing clean Python code, collaborating with founders and researchers, and optimizing infrastructure for growth.

Requirements:

• Strong software engineering skills grounded in SOLID principles and best practices are required.
• Hands-on experience deploying ML models to production is essential.
• Familiarity with common ML libraries such as scikit-learn, TensorFlow, or PyTorch is necessary.
• A basic understanding of ML fundamentals, including algorithms and statistics, along with a strong intuition for applying different modeling approaches, is required.
• Nice-to-have qualifications include familiarity with AWS tools for developing and deploying ML systems, experience with varied data types, previous experience with behavioral biometrics or security-focused products, and experience with ONNX.

Benefits:

• The position offers flexible working arrangements, allowing for remote or in-office work based on personal preference.
• Employees can participate in a Project Day once a month to dedicate time to personal passions.
• Equity options are available, allowing employees to share in the company's success.
• An open vacation policy is in place, enabling employees to take time off as needed.
• Subscription to online learning resources like O'Reilly and Pluralsight is provided.
• Additional perks for Argentina-based employees include business English courses, travel for team events, and provision of technical books, VPN, and high-end work equipment.