Applied ML Research Engineer

The company is on a mission to bridge the gap between enterprise business knowledge and data, democratizing data discovery and curation to prepare organizations for the era of generative AI. They are seeking an Applied ML Research Engineer to join their ML team focused on turning raw enterprise data into structured, contextualized knowledge graphs and embeddings, experimenting with new approaches and improving model performance.

Requirements

• 2–4 years experience (research lab, internship, academic project, or early industry role) working in ML or NLP
• Strong fundamentals turning research papers, algorithms and mathematics into working code
• Exposure to knowledge distillation, RLHF, or curriculum learning techniques
• Strong Python skills and familiarity with ML frameworks like PyTorch or TensorFlow
• Experience with language models and transformers (e.g., BERT, LLaMA, or similar)
• Solid understanding of ML fundamentals: training pipelines, loss functions, evaluation metrics
• A collaborative mindset and willingness to work across research and engineering teams

Benefits

• Competitive salary
• Opportunity to work with a talented team
• Be part of shaping the future of enterprise AI