Forward Deployed Machine Learning Engineer
R
RaydarAI Data Infrastructure
Remote within the United StatesFull-TimeMiddle
Salary$170K-$270K base salary
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Job Details
- Experience
- 4 or more years of engineering experience
- Required Skills
- Machine LearningSoftware Engineering
Requirements
- 4 or more years of engineering experience, including hands-on machine learning model evaluation work.
- Experience deploying end-to-end ML evaluation or benchmark systems to production against demanding customer timelines.
- Strong proficiency with ML evaluation frameworks and benchmark design, including approaches such as LLM-as-judge.
- Ownership of backend and infrastructure systems such as large-scale data pipelines, execution environments, storage, and orchestration.
- Customer-facing engineering experience managing enterprise stakeholders.
- A degree in computer science, physics, or a related technical field.
Responsibilities
- Define, design, and build production benchmarks and evaluations with customers and internal researchers.
- Build and own backend infrastructure, including data pipelines, execution environments, storage, and orchestration.
- Create sandboxed environments for agentic evaluations involving tools, code execution, and multi-step tasks.
- Own the engineering portion of customer engagements from technical scoping through production delivery.
- Identify repeatable evaluation patterns and infrastructure gaps that can become scalable products.
- Move quickly through ambiguity while maintaining strong technical judgment and clear written communication.
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