Remote Senior ML Engineer — Production-Scale AI

Jobs Ai; Chicago (IL); Remote; USD 150,000 - 250,000; Full time

Benefits offered by this job

Fully remote

Bonus program

Learning stipend

Health benefits

Impact projects

Job summary

Jobs Ai in the United States (Remote) is seeking a Senior Machine Learning Engineer to lead the design, training, and deployment of ML systems in production. You will own models from research to scaled inference, mentor engineers, and collaborate with data engineering on data pipelines.

The role offers fully remote work, a competitive compensation package, and a bonus program. Candidates should have strong Python and ML framework experience and a track record delivering business value.

Qualifications

• 5 years in machine learning engineering with production ownership.
• Strong Python skills with PyTorch or TensorFlow.
• Experience training and serving models at production scale.
• Hands-on with cloud ML infrastructure (AWS Sagemaker, GCP Vertex, Databricks).
• Strong software engineering fundamentals (testing, code review, system design).
• Track record of shipping ML systems delivering measurable business value.

Responsibilities

• Design, train, and deploy machine learning models at production scale.
• Lead architecture decisions for training, evaluation, and inference pipelines.
• Build evaluation frameworks and monitoring for model quality and drift.
• Partner with data engineering on training data pipelines and feature stores.
• Mentor junior ML engineers and contribute to ML practice.
• Stay current on research and bring proven techniques into production.

Skills

Python

PyTorch

TensorFlow

Model deployment

Cloud ML infra

Tools

AWS SageMaker

GCP Vertex AI

Databricks

Job description

Jobs Ai in the United States (Remote) is seeking a Senior Machine Learning Engineer to lead the design, training, and deployment of ML systems in production. You will own models from research to scaled inference, mentor engineers, and collaborate with data engineering on data pipelines.

The role offers fully remote work, a competitive compensation package, and a bonus program. Candidates should have strong Python and ML framework experience and a track record delivering business value.