Teramind is a hybrid, global workforce building the next-generation Insider Risk Management and User Behavior Analytics platform.

Join our team of innovators who are redefining insider risk management through cutting-edge technology. More than 10,000 organizations across the globe have used' Teramind to mitigate insider threats and protect their sensitive company data with the most robust, enterprise-grade software on the market.

As a global team, Teramind embraces an inclusive and flexible work environment and team culture. We win together, learn from each other and respect each other while delivering best-in-class security solutions.

About the role

We are looking for a Senior Machine Learning Engineer to help us build and deploy production-ready machine learning systems that drive key features on our platform. In this role, you'll convert advanced data science models into scalable and efficient code capable of processing vast amounts of user activity data in real-time. If you’re passionate about leveraging machine learning to create impactful solutions, we want to hear from you!

Your day-to-day

•  Model Implementation: Implement and optimize machine learning models for production environments, ensuring they meet scalability and reliability standards.
•  Data Pipeline Development: Design and build robust data processing pipelines for real-time anomaly detection, enhancing our capability to respond to user behavior dynamically.
•  Model Monitoring: Develop comprehensive systems for monitoring model performance and effectiveness, allowing for quick adjustments and improvements.
•  Continuous Improvement: Create infrastructure for ongoing model training and refinement to adapt to new data and evolving user needs.
•  Collaborative Execution: Work closely with data scientists to efficiently implement algorithms, ensuring alignment with our overall system architecture.
•  Integration Efforts: Collaborate with software engineers to seamlessly integrate machine learning capabilities into our platform, enhancing user experience and functionality.

•  Experience: 5+ years of hands-on experience in implementing and scaling production machine learning systems.
•  Technical Proficiency: Strong software engineering skills, with a focus on machine learning implementation and optimization.
•  Framework Expertise: Proficiency with popular machine learning frameworks and tools (e.g., TensorFlow, PyTorch) to drive model development.
•  Distributed Computing Knowledge: Understanding of distributed computing principles and experience with real-time data processing architectures.
•  ETL Systems: Experience in deploying systems for efficient batch processing and online ETL (Extract, Transform, Load).
•  Performance Optimization: Familiarity with model optimization techniques and performance tuning to ensure efficient operation.
•  Security-Savvy: Experience with machine learning applications focused on security is a plus and will be highly regarded.

• Competitive salary with a focus on a global market.
• Career-growth opportunities.
• Flexible Time Off and Paid Time Off benefits.
• Ongoing training and development opportunities.
  

At Teramind, we’re a collaborative, forward-thinking team where new ideas come to life, experience is valued and talent is incubated. This is a remote job. Work from anywhere

We don’t expect a perfect fit for every requirement we’ve outlined. If you can see yourself contributing to the team, we want to hear your story.

All roles require reference and background checks

Teramind is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration without regard to race, age, religion, color, marital status, national origin, gender, gender identity or expression, sexual orientation, disability, or veteran status.