Senior Machine Learning Engineer (Fully Remote)
Base pay range: $200,000.00/yr - $220,000.00/yr
Location: Remote (optional hybrid New York)
Salary up to $220,000
Our client
Our client is a fast-growing, profitable technology business operating at the cutting edge of AI-driven decisioning. They partner with global brands to deliver advanced machine learning solutions that optimize real-time strategies across digital platforms.
Role overview
As a Senior Machine Learning Engineer , you will build scalable ML infrastructure, deploy production‑grade models, and impact business outcomes. The role involves distributed systems, cutting‑edge neural‑network architectures, and MLOps best practices in a high‑performance environment.
Responsibilities
- Architect and train neural‑network models for optimization and audience modeling using PyTorch and distributed training frameworks.
- Build multi‑GPU training pipelines and implement hyperparameter tuning strategies.
- Develop feature‑engineering workflows using PySpark and embedding techniques.
- Own the ML lifecycle from training to batch inference, ensuring automation and reproducibility.
- Implement monitoring and observability solutions to track model performance and system health.
- Collaborate with cross‑functional teams to align ML initiatives with product strategy and KPIs.
Requirements
- MSc or PhD in Computer Science, Machine Learning, or related field.
- Strong ML engineering with proficiency in PyTorch .
- Hands‑on experience with Databricks .
- Expert‑level Python and PySpark skills for large‑scale data processing.
- Familiarity with AWS cloud platform and Snowflake data warehousing.
- Strong understanding of CI/CD workflows and best practices.
Benefits
- Competitive salary and bonus structure.
- Comprehensive health coverage.
- Generous PTO and company holidays.
- Flexible remote working options.
Desired skills and experience
MLOps, Databricks.
How to apply
Apply today to learn more.
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