Remote Machine Learning Engineer

Summary

Join our AI & Threat Analytics team as a highly motivated and experienced Machine Learning Engineer to develop advanced autofill systems, focusing on multi-lingual text classification of HTML input fields.

Requirements

• 3+ years of professional experience in ML research or development, with a focus on NLP and text classification
• Strong coding skills in Python, JavaScript, or a similar language relevant to ML
• Hands-on experience with fine-tuning large language models (BERT, RoBERTa, SBERT) for real-world tasks
• Experience with neural networks, autoencoders, LSTM for classification
• Strong understanding of the DOM API and web technologies (HTML, CSS, JavaScript)
• Proficiency with ML frameworks like TensorFlow, PyTorch, and Hugging Face Transformers
• Familiarity with MLOps, model deployment, and monitoring practices
• Experience with model validation and metrics (precision, recall, F1-score)
• Familiarity with cloud platforms (AWS, GCP, Azure)
• Knowledge of secure coding, encryption, zero-trust, and zero-knowledge principles
• Excellent problem-solving and communication skills
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related discipline, or equivalent experience

Responsibilities

• Design and implement ML models for real-time DOM structure and form-field detection
• Fine-tune large language models for text classification, using projection layers and pooling
• Build and optimize feature extraction pipelines for HTML attributes, DOM structures, relationships, and text-based features
• Evaluate and fine-tune models using metrics like a confusion matrix, ROC/PR curves, and other techniques to optimize accuracy and performance
• Deploy models in our browser extension to support client-side inference
• Continuously improve model performance, accuracy, and runtime efficiency
• Troubleshoot and optimize production models for consistency and reliability
• Stay up-to-date with new ML frameworks (e.g., PyTorch, TensorFlow, Transformers) and incorporate improvements
• Scale ML pipelines and experimentation systems to support millions of users
• Collaborate with cross-functional teams to align ML efforts with product goals
• Write clean, maintainable code and provide comprehensive documentation

Benefits

• Medical, Dental & Vision (Inclusive of domestic partnerships)
• Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life
• Voluntary Short/Long Term Disability Insurance
• 401k (Roth/Traditional)
• A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc)
• Above market annual bonuses