Machine Learning Engineer

Neutral Street; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Neutral Street is seeking a machine learning engineer to bridge research and production by building scalable ML pipelines and optimizing model inference engines.

You will optimize inference engines for sub-millisecond execution, collaborate with researchers to deploy NLP and Computer Vision models on alternative data, and monitor drift with automated retraining pipelines.

Qualifications

• Experience with PyTorch, TensorFlow or JAX.
• Strong background in C++ and Python.
• Experience deploying ML models in latency-critical environments.
• Knowledge of CUDA and GPU optimization is a strong plus.

Responsibilities

• Optimize inference engines for sub-millisecond execution.
• Collaborate with researchers to deploy NLP and Computer Vision models for alternative data.
• Monitor model drift and automate retraining pipelines.

Skills

PyTorch

TensorFlow

JAX

C++

Python

Latency-critical deployment

Tools

CUDA

Job description

Bridge the gap between research and production by building scalable machine learning pipelines and optimizing model inference engines.

Responsibilities

• Optimize inference engines for sub-millisecond execution
• Collaborate with researchers to deploy NLP and Computer Vision models for alternative data
• Monitor model drift and automate retraining pipelines

Requirements

• Experience with PyTorch, TensorFlow, or JAX
• Strong background in C++ and Python
• Experience deploying ML models in latency-critical environments
• Knowledge of CUDA and GPU optimization is a strong plus