Machine Learning Engineer

📋 Description

• Design, train, fine-tune, and evaluate machine learning models for security detection use cases.
• Build and deploy lightweight, high-performance models optimized for low latency, high throughput
• Develop and maintain fine-tuning pipelines for large language models and smaller transformer-based
• Experiment with advanced model optimization techniques, including knowledge distillation
• Improve detection quality while balancing false positives and false negatives to deliver accurate
• Build scalable machine learning infrastructure and production-grade inference pipelines.

🎯 Requirements

• At least 2 years of experience in Machine Learning Engineering, Applied AI, or a closely related
• Demonstrated experience building, deploying, and maintaining machine learning systems in production
• Hands-on experience fine-tuning transformer-based models and/or large language models.
• Strong Python programming and software engineering skills.
• Experience with modern machine learning frameworks such as PyTorch and Hugging Face; TensorFlow
• Practical knowledge of model optimization techniques and experience improving inference efficiency

🎁 Benefits

• Competitive compensation.
• Comprehensive employee benefits.
• Flexible work environment.
• Flexible time-off programs.
• Well-being initiatives, including paid wellbeing days.
• Paid volunteer/community outreach days.