Machine Learning Engineer

Tech Stack

Responsibilities

• Design and build scalable ML services for enrichment workflows, including model training pipelines and high-performance inference APIs
• Deploy and optimize models using modern inference libraries and frameworks (ONNX, vLLM, TensorRT, etc.) to achieve low-latency, high-throughput performance
• Collaborate with software engineers and product teams to define data requirements, feature engineering strategies, and model evaluation metrics
• Build robust monitoring, observability, and evaluation systems to ensure model quality and service reliability in production
• Stay current with emerging ML techniques, tools, and best practices, particularly in areas like model optimization, efficient inference, and large-scale data processing

Soft Skills

Benefits

• 401k
• Dental
• Equity
• Health Insurance
• Mental Health
• Parental Leave
• Remote Work
• Unlimited PTO
• Vision

Culture

Requirements