Senior Machine Learning Engineer (Fully Remote)

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. #J-18808-Ljbffr Harnham