Software Engineer, Machine Learning

We are looking for a skilled Software Engineer, Machine Learning to join our team. You will lead discovery with customers, orienting in their codebases and workflows, finding bottlenecks, and defining success metrics.

Responsibilities:

• Lead discovery with customers to identify real bottlenecks and define clear success metrics
• Design and ship production agents, AI applications, and coding-agent workflows on Grok and our models
• Get a first version live in days, then harden it over weeks with rollout, monitoring, and iteration
• Own production quality, including tracing, evals, debugging, and latency and cost tradeoffs
• Build systems around the model and integrate them into customers' auth, data, workflow, and delivery systems
• Measure outcomes that matter, such as revenue, cost, hours saved, error rate, cycle time, and escaped defects
• Work directly with Staff+, platform, and domain leaders
• Leave the customer team able to run what you built and turn what you learn into reusable patterns and improvements

Basic Qualifications:

• 5+ years of experience in software engineering, machine learning engineering, or data science
• Experience owning a customer or operator outcome and turning a fuzzy problem into a scoped, shipped system
• Experience building and owning AI-native workflows or agents in production using Python, JavaScript/TypeScript

Preferred Skills and Experience:

• 2+ years in a customer-facing role, leading discovery conversations and being accountable for outcomes
• Hands-on depth in several areas, including agents and tool-calling, eval harnesses, retrieval and context systems, CI/CD or developer platforms, and AI-native coding workflows
• Experience as a forward-deployed, solutions, or platform engineer embedded with customers, or as a founding engineer who owned an AI product end-to-end