Machine Learning Lead Engineer (Fully Remote)

Not Specified; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Savings plan

Paid time off

Job summary

Not Specified is seeking an ML engineer to lead production-ready ML systems end-to-end, from data preparation to deployment, ensuring reliability and scalability.

The role is fully remote in the United States and requires deep Python and ML framework expertise (PyTorch/JAX), with experience in GPU training and large-scale inference. You will collaborate with research and software teams to turn research into product features.

Qualifications

• Experience deploying production ML/AI systems used by real users.
• Strong Python and ML framework proficiency (PyTorch or JAX).
• Experience with GPU-based training and large-scale inference.

Responsibilities

• Own end-to-end ML systems lifecycle from data processing to deployment.
• Build and optimize training/fine-tuning pipelines for large models and GPU inference.
• Collaborate with research and application teams to translate model capabilities into product features.

Skills

Python

PyTorch

JAX

GPU training

Inference at scale

Production systems

Software engineering

Education

BSc in CS or related field

Tools

Git

Docker

Kubernetes

AWS

Job description

• You will lead engineering execution that transforms advanced ML research into reliable, scalable, production-ready systems.
• You will oversee the full ML lifecycle, from data preparation and model training to evaluation, inference, and deployment.

Key Responsibilities:

• Own the end-to-end ML systems lifecycle, including data processing, training, evaluation, inference, deployment, and optimization.
• Build and optimize training and fine-tuning pipelines for large-scale models and high-performance GPU inference systems.
• Collaborate closely with research and application engineering teams to translate model capabilities into product enhancements.

Requirements:

• Demonstrated professional experience in ML engineering and deploying production systems used by real users.
• Strong proficiency in Python and ML frameworks such as PyTorch or JAX.
• Experience with GPU-based training and inference at scale, plus solid software engineering fundamentals.
• Fully remote work-from-home arrangement.
• Medical, dental, and vision insurance, savings plan options, and PTO.

Not Specified

This company builds production-grade machine learning systems and large-scale GPU-powered inference pipelines. It is a fully remote team that values technical rigor, collaboration, and hands-on engineering.