Senior ML Engineer: End-to-End Production ML at Scale
Button
United States
Remote
USD 153,000 - 198,000
Full time
14 days+
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Benefits offered by this job
Unlimited time off
401(k) with company match
Health insurance coverage
Lifestyle stipend
Monthly mobile phone stipend
Job summary
A leading technology company is seeking a Senior Machine Learning Engineer to manage the ML lifecycle, from data pipelines to model deployment. Collaborating closely with product managers and engineers, this role focuses on transforming complex business problems into effective machine learning solutions. The ideal candidate has experience in production ML systems, strong coding skills in Python and SQL, and is familiar with cloud environments, particularly AWS. This position offers a remote-friendly work environment with competitive compensation and benefits.
Qualifications
5+ years of experience in machine learning or data engineering.
Proven record of deploying ML models in production environments.
Experience with orchestration tools and data modeling.
Responsibilities
Own the full ML lifecycle including training and deployment.
Design and build data and feature pipelines for ML models.
Collaborate with teams to operationalize models and improve performance.
Skills
Machine learning systems
Python
SQL
Cloud environments (AWS)
Data pipelines
Feature engineering
Scalable systems design
Education
Bachelor's or Master's in Computer Science or relevant field
Tools
TensorFlow
PyTorch
Amazon SageMaker
Airflow
Job description
A leading technology company is seeking a Senior Machine Learning Engineer to manage the ML lifecycle, from data pipelines to model deployment. Collaborating closely with product managers and engineers, this role focuses on transforming complex business problems into effective machine learning solutions. The ideal candidate has experience in production ML systems, strong coding skills in Python and SQL, and is familiar with cloud environments, particularly AWS. This position offers a remote-friendly work environment with competitive compensation and benefits.