Platform ML Engineer New Jersey or Remote

Neurex AI Inc.; New Jersey; Remote; USD 100,000 - 140,000; Full time

Benefits offered by this job

High ownership and autonomy

Real impact in healthcare

Direct collaboration with founders and senior leadership

Job summary

Neurex AI Inc. is looking for engineers to build scalable ML infrastructure that powers healthcare AI at scale. This role involves designing systems to train, deploy, and monitor ML models in production healthcare environments.

The ideal candidate will have a strong foundation in ML systems, experience with model serving frameworks, and familiarity with cloud infrastructure. You will have the opportunity to impact healthcare directly while collaborating with senior leadership.

Qualifications

• Strong foundation in ML systems and infrastructure.
• Experience with model serving frameworks like TensorFlow Serving or Triton.
• Comfortable with AWS, GCP, and Kubernetes.
• Experience with data pipelines and distributed systems.
• Familiarity with MLOps practices.
• Excellent communication skills.

Responsibilities

• Design and build scalable ML training and inference infrastructure.
• Implement model serving systems for low-latency healthcare applications.
• Build data pipelines for training and evaluation datasets.
• Create monitoring and observability systems for ML models in production.
• Optimize model performance for cost and latency requirements.
• Work with research and product teams to deploy new models.

Skills

ML systems and infrastructure

Model serving frameworks (TensorFlow Serving, Triton)

Cloud infrastructure (AWS, GCP)

Kubernetes

Data pipelines and distributed systems

MLOps practices

Clear communication

Job description

Build the infrastructure that powers healthcare AI at scale.

New Jersey or Remote Research & Development Full-Time

Neurex AI is building applied AI systems that operate inside real healthcare workflows. This role is for engineers who want to build the foundational ML infrastructure that enables healthcare AI at scale.

You will design and implement systems that train, deploy, and monitor ML models across production healthcare environments.

What You Will Do

• Design and build scalable ML training and inference infrastructure
• Implement model serving systems for low-latency healthcare applications
• Build data pipelines for training and evaluation datasets
• Create monitoring and observability systems for ML models in production
• Optimize model performance for cost and latency requirements
• Work with research and product teams to deploy new models

What You Will Build

• Model training pipelines with experiment tracking and versioning
• Real-time and batch inference systems for healthcare AI
• Feature stores and data management infrastructure
• Model monitoring and drift detection systems
• HIPAA-compliant ML infrastructure with security guardrails

Who You Are

• Strong foundation in ML systems and infrastructure
• Experience with model serving frameworks (TensorFlow Serving, Triton, etc.)
• Comfortable with cloud infrastructure (AWS, GCP) and Kubernetes
• Experience with data pipelines and distributed systems
• Familiarity with MLOps practices and tooling
• Clear communicator with high standards

Why Neurex AI

• AI that is deployed, not demoed
• High ownership and autonomy
• Real impact in healthcare
• Opportunity to shape products, systems, and culture
• Direct collaboration with founders and senior leadership