Machine Learning Engineer (AI, NLP)

TL;DR

Machine Learning Engineer (AI, NLP): Design, build, and deploy machine learning models that power threat detection and narrative analysis capabilities with an accent on NLP, social network analysis, and large-scale data processing. Focus on researching and implementing state-of-the-art techniques in natural language processing, including transformer-based and large language models, and developing models for detecting coordinated inauthentic behavior.

Location: Remote (USA only)

Company

hirify.global is a full-service consulting firm delivering predictable outcomes and high-quality solutions to clients by leveraging deep expertise, integrity, transparency, and dependability.

What you will do

• Design, develop, and deploy machine learning models for threat detection, narrative analysis, and anomaly identification.
• Build and optimize NLP pipelines for analyzing text data from diverse sources like social media and news.
• Collaborate with data engineers to develop scalable ML infrastructure and real-time data processing pipelines.
• Research and implement state-of-the-art techniques in natural language processing, including transformer-based and large language models.
• Develop models for detecting coordinated inauthentic behavior, bot networks, and influence operations.
• Monitor model performance, conduct A/B testing, and continuously improve model accuracy and efficiency.

Requirements

• 5+ years of professional experience in machine learning engineering.
• Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX.
• Deep expertise in NLP, including 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.
• Experience with large-scale data processing frameworks (Spark, Dask, or similar).

Nice to have

• 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).
• Experience working in a fast-paced startup environment.

Culture & Benefits

• Remote Work Opportunities
• Flexible Work Hours
• Professional Development Opportunities
• Commitment to fostering a diverse and inclusive workplace.