Machine Learning Engineer

📋 Description

• Design and build scalable ML services for data extraction, classification, enrichment, and
• Develop end-to-end ML pipelines: data prep, training, eval, deployment, monitoring.
• Deploy/optimize models using ONNX, vLLM, TensorRT for low latency, high throughput.
• Collaborate with software engineers and product teams on data needs and feature engineering.
• Build observability and evaluation systems to ensure model quality and reliability.
• Apply distributed systems and cloud infra to ML services at scale.

🎯 Requirements

• 5+ years in production ML systems.
• Experience with Kubernetes and Ray; ONNX, vLLM, TensorRT or similar.
• Proficiency with PyTorch, TensorFlow, or JAX.
• Designing and scaling ML services for large data with low latency.
• Full ML lifecycle expertise: data prep, feature engineering, training, eval, deploy, monitoring.
• Strong software engineering skills; distributed systems and cloud infra.

🎁 Benefits

• Competitive base salary $150,000 to $215,000, plus equity.
• Health, dental, vision insurance.
• Remote-friendly with access to WeWork locations.
• Unlimited PTO, holidays, year-end closure.
• 401(k) with employer match; stipends for lifestyle/wellbeing.
• Military reserve pay top-up; paid parental leave.