Applied Machine Learning Engineer

You will own customer engagements from scoping through production. You will embed with customer teams, fine-tune and evaluate models, optimize serving performance and cost, and communicate actionable customer needs to product and engineering.

Responsibilities

• Own customer deployments from scoping through production
• Embed with customer teams to understand their domain, data, and constraints
• Run fine-tuning and post-training work from data through production serving
• Optimize model selection, deployment shape, inference performance, and cost
• Assess achievable scope before committing
• Feed actionable customer needs back to product and engineering

Requirements

• Demonstrate strength in two or three areas of software engineering, machine learning, and infrastructure
• Have formal machine learning training and experience post-training LLMs
• Have experience with GPU infrastructure, distributed serving, or inference engines
• Have founder or founding engineer experience
• Have startup or fast-paced environment experience
• Use Python and at least one systems language
• Apply AI-assisted and agentic engineering