Senior Machine Learning Scientist, Agentic AI & GenAI Systems (Growth Marketing)

Role Overview

As a Senior Machine Learning Scientist, you will architect, build, and ship enterprise-scale GenAI, RAG, and multi-agent systems end-to-end, including frontend, backend, and user interfaces. You will design hierarchical multi-agent ecosystems with Interactive Generative UIs, dashboards, and safety/observability features.

What You Will Do

Your main day-to-day responsibilities will include building and deploying large-scale behavioral embedding systems, training and fine-tuning LLMs, and collaborating with product and engineering teams to create intuitive user interfaces.

Why It Might Be a Fit

You will be a fit for this role if you have 10+ years of experience in software engineering, ML, and AI systems, with production GenAI deployments, and a strong background in distributed GPU training and inference, cloud infrastructure, and container orchestration.

Requirements

• 10+ years in software engineering, ML, and AI systems, with production GenAI deployments
• Deep expertise in LLM training, adaptation, distillation, RLHF/DPO, and RAG systems
• Solid foundation in NLP and experience with multimodal AI systems (vision-language models)
• Proven experience building and operating multi-agent AI platforms with observability and safety frameworks
• Strong background in distributed GPU training and inference, cloud infrastructure (AWS/Azure), container orchestration, and ML tooling

Benefits

• Medical, dental, and vision coverage
• Paid time off
• Employee Assistance Program
• Wellness and travel reimbursement
• Travel discounts
• International Airlines Travel Agent Network (IATAN) membership