Remote Machine Learning Engineer Remote

Job Overview
NeuralFoundry is hiring a Remote Machine Learning Engineer to design and deploy robust ML models across a range of industries including healthcare, finance, and e-commerce. You’ll manage the full model lifecycle, from data engineering and experimentation to production deployment and monitoring. You will collaborate with product and engineering teams to integrate ML into scalable applications and services. This is a great opportunity to shape the future of AI applications from anywhere in the world.

Key Responsibilities
Design and train supervised/unsupervised models. Build pipelines and automate training cycles. Optimize model performance and accuracy. Deploy models into real-time environments. Collaborate on data strategy and feature engineering.

Requirements
Strong Python and ML libraries (scikit-learn, XGBoost, etc.). Familiar with TensorFlow or PyTorch. Experience with Docker, cloud platforms, and MLOps. Degree in Data Science, CS, or related field.

Benefits
Work remotely with global teams
Paid research and model experimentation time
Top-tier health insurance and mental wellness
Home AI lab budget
Monthly peer learning events
Paid vacation and conferences