Job Description
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!
Job Tags