Machine Learning Engineer
Core
Guide research and engineering teams to close knowledge gaps in data science, AI, and machine learning domains by designing challenging tasks and evaluating AI agent outputs.
Role type
Expert AI & Data Science professional (contract)
Builds
Ground truth solutions, evaluation frameworks, and rubrics for statistical reasoning and ML pipelines
Domain
Artificial Intelligence, Machine Learning, Data Science
Deliverable
production ML models | dashboards & analysis
Required skills
statistical modeling, ML modeling, data analysis, programming, LLMs, agentic workflows
Preferred skills
data annotation, labeling, evaluation, human feedback collection
Technologies
LLMs, agentic frameworks
Responsibilities
Design challenging data science and AI tasks rooted in real-world statistical modeling and ML pipelines; Evaluate AI agent outputs and data science solutions; Develop and refine evaluation frameworks and rubrics for assessing statistical reasoning and ML pipeline design
Seniority
Senior, hands-on IC
