Applied AI/ML Engineer

📋 Description

• Design, develop, and deploy machine learning and AI-powered features into production systems
• Apply supervised, unsupervised, and deep learning techniques to structured and unstructured data
• Build and evaluate models for tasks such as classification, ranking, prediction, NLP, or anomaly
• Develop and integrate GenAI solutions (e.g., LLM-based workflows, retrieval-augmented generation
• Translate business and user needs into ML problem statements, metrics, and experiments
• Implement data pipelines and feature engineering workflows to support model training and inference

🎯 Requirements

• Applicants must be authorized to work in the United States
• Certain roles may require U.S. citizenship and the ability to obtain and maintain a federal
• Strong foundation in machine learning concepts
• Experience building and deploying ML models in real-world applications
• Proficiency in Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)
• Experience working with large language models, embeddings, and prompt-driven systems

🎁 Benefits

• Fully remote
• Annual stipend
• Comprehensive Benefits Package
• Company Match 401(k) plan
• Flexible PTO, Paid Holidays