Design and deploy scalable machine learning infrastructure and production-grade models to optimize business outcomes. Develop feature engineering workflows and implement monitoring and observability solutions. Collaborate with cross-functional teams to align ML initiatives with product strategy and KPIs.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Senior Machine Learning Engineer
Location: Remote (with optional hybrid New York)
Salary: Salary up to $220,000
THE COMPANY
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.
THE ROLE
As a Senior Machine Learning Engineer, you will play a key role in building scalable ML infrastructure and deploying production-grade models that directly impact business outcomes. This is an opportunity to work on distributed systems, cutting-edge neural network architectures, and MLOps best practices in a high-performance environment.
RESPONSIBILITIES
- You will architect and train neural network models for optimization and audience modeling using PyTorch and distributed training frameworks.
- You will build multi-GPU training pipelines and implement hyperparameter tuning strategies.
- You will develop feature engineering workflows using PySpark and embedding techniques.
- You will own the ML lifecycle from training to batch inference, ensuring automation and reproducibility.
- You will 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.
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REQUIREMENTS
- MSc or PhD in Computer Science, Machine Learning, or related field.
- Strong ML engineering with strong proficiency in PyTorch.
- Hands-on experience with Databricks.
- Expert-level Python and PySpark skills for large-scale data processing.
- Familiarity with cloud platforms (AWS) and data warehousing (Snowflake).
- Strong understanding of CI/CD workflows and best practices.
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BENEFITS
- Competitive salary and bonus structure.
- Comprehensive health coverage.
- Generous PTO and company holidays.
- Flexible remote working options.
HOW TO APPLY
If you're passionate about building scalable ML systems and want to work in a dynamic, innovative environment, apply today to learn more.
MLOps, DataBricks
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