Kensho Technologies Offices

Build and improve ML platform tooling, infrastructure, workflows, and observability for machine learning models, LLMs, and agentic applications. Collaborate with ML and infrastructure teams, evaluate and integrate open-source tools, automate fine-tuning and evaluation pipelines, and debug distributed systems across infrastructure, networking, and application layers.

Build and improve Kensho’s ML platform, tooling, infrastructure, and workflows. The role supports ML engineers by developing scalable, auditable processes for model fine-tuning, reinforcement learning, LLM and agent evaluation, and production observability. Responsibilities include integrating open-source solutions, debugging distributed systems, monitoring model and agent performance, and promoting engineering best practices across teams. The position requires collaboration across ML, infrastructure, SRE, and security teams.

Own AI partnership development and a portfolio of strategic clients. Manage partner relationships, coordinate cross-functional launches, drive product adoption and expansion, convert trials, support renewals, and resolve partnership or client issues. The role requires technical fluency in AI/ML, APIs, and software implementation, along with strong communication, senior relationship management, commercial judgment, and comfort operating autonomously in ambiguous environments. Approximately 25% travel is required within the United States and to company hubs.