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!
Apply Now
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!
Apply Now