Machine Learning Engineer (Contractor)

The Role: 

We are seeking a talented Machine Learning Engineer with 5+ years of experience to join our growing engineering team. In this role, you will design, build, and deploy machine learning models that power our threat detection and narrative analysis capabilities. You will work at the intersection of NLP, social network analysis, and large-scale data processing to help protect organizations from emerging digital risks.

Key Responsibilities: 

• Design, develop, and deploy machine learning models for threat detection, narrative analysis, and anomaly identification across large-scale datasets.
• Build and optimize NLP pipelines for analyzing text data from diverse sources, including social media, news, and other digital platforms.
• Collaborate with data engineers to develop scalable ML infrastructure and pipelines that process millions of data points in real-time.
• Research and implement state-of-the-art techniques in natural language processing, including transformer-based models and large language models.
• Develop models for detecting coordinated inauthentic behavior, bot networks, and influence operations.
• Work closely with product and research teams to translate business requirements into technical solutions.
• Monitor model performance, conduct A/B testing, and continuously improve model accuracy and efficiency.
• Contribute to the team's engineering best practices, including code reviews, documentation, and knowledge sharing.

Requirements: 

• 5+ years of professional experience in machine learning engineering or a related role.
• Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX.
• Deep expertise in NLP, including experience with transformer architectures, embeddings, and text classification.
• Experience building and deploying ML models in production environments.
• Proficiency with cloud platforms (AWS, GCP, or Azure) and MLOps tools.
• Strong understanding of data structures, algorithms, and software engineering principles.
• Experience with large-scale data processing frameworks (Spark, Dask, or similar).
• Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field (or equivalent experience).

Preferred Qualifications:

• Experience with social network analysis, graph neural networks, or community detection algorithms.
• Background in information security, OSINT, or misinformation research.
• Familiarity with LLM fine-tuning, prompt engineering, or retrieval-augmented generation (RAG).
• Publications or contributions to the ML/NLP research community.
• Experience working in a fast-paced startup environment.

What we offer:

• Remote Work Opportunities
• Flexible Work Hours
• Professional Development Opportunities

• Corp to corp (C2C) preferred or contract