Remote Machine Learning Lead Engineer

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

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.