Senior Machine Learning Platform Engineer

Senior ML Platform Engineer

Compensation: 190K-220K base salary

U.S. Citizens and Green Card Holders ONLY

You will play a key role in developing and optimizing scalable systems that power real-time ML applications, including pricing, curation, and fraud detection. Working at the intersection of machine learning and infrastructure, you'll handle high-throughput data requests and ensure the stability of mission-critical systems.

Company Information:

Our client is a late-stage e-commerce startup that has a high-traffic, low-latency environment.

Key Responsibilities:
• Design, develop, and deploy machine learning platforms and infrastructure solutions.
• Work with scalable systems that process millions of real-time requests per second.
• Implement and optimize data systems, including Redis, DynamoDB, Kafka, Snowflake, and other databases.
• Develop systems and workflows for pricing, curation, and fraud detection.
• Leverage technologies like Temporal and Airflow for workflow orchestration and deployment automation.
• Collaborate with cross-functional teams to ensure seamless integration of ML systems in production.
• Debug, optimize, and enhance infrastructure to meet performance and reliability goals.
• Support online/e-commerce operations with scalable, low-latency systems.

Preferred Qualifications:
• MUST HAVE - infrastructure development of machine learning platforms.
• Proficiency in AWS or other cloud platforms, and ability to code in Python and SQL.
• Knowledge and experience in key machine learning technologies like PyTorch, Tensorflow, Scikitlearn, and XGBoost.
• Strong foundation in software engineering and systems design principles.
• Experience with NLP systems and infrastructure components.
• Proven ability to work on high-scale systems in production environments.
• Familiarity with real-time data processing and workflow orchestration tools.
• Prior experience in online/e-commerce or similar industries is a plus.
• Exposure to fraud detection systems is highly desirable.
• Knowledge of best practices for handling large-scale data pipelines.

What We Offer:
• 100% healthcare, vision, and dental coverage.
• Company equity package.
• Competitive compensation, benefits, and professional growth opportunities.

If this sounds like a good fit, please apply with an updated resume!

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