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Machine Learning Engineer – Production Systems
Anton Volkov
Full-time · Mid-level · New_York
About the role
We run ML models in production serving millions of predictions per day and need an ML engineer who is as comfortable with systems and infrastructure as they are with model development. You will own the full model lifecycle.
Responsibilities
- Develop and productionise ML models from research to serving
- Build and maintain ML pipelines using Airflow and MLflow
- Monitor model performance and handle drift detection
- Work with research scientists to move experiments to production
- Contribute to our ML platform and internal tooling
Requirements
- 4+ years ML engineering with production deployment experience
- Strong Python (PyTorch or TensorFlow) and MLOps tooling
- Experience with model serving frameworks (TorchServe, Triton, or BentoML)
- Familiarity with Kubernetes and Docker for ML workloads
- Able to monitor and debug production model performance
Benefits
- High-scale production environment
- Full remote
- Competitive salary + equity
- GPU access for development
- Engineering-led culture
Job Type
Full-time
Level
Mid-level
Language
English
Salary Range
$130,000 – $170,000
AI Expertise
AI & Machine Learning Engineers
data science & analytics
data science
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