Harnham ยท 3 hours ago
Senior Machine Learning Platform Engineer
San Francisco County, CA
Full-time
Remote
Senior Level
$190K/yr - $220K/yr
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No H1B
U.S. Citizen OnlyHiring Manager
Ryan Kelley
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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.
Qualification
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Required
U.S. Citizens and Green Card Holders ONLY
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
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.
Benefits
100% healthcare, vision, and dental coverage
Company equity package
Competitive compensation, benefits, and professional growth opportunities
Company
Harnham
Harnham has actively chosen to focus on Data and Analytics.
Founded in 2006
201-500 employees
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
BGF Ventures
2022-05-05Seed
Leadership Team
David Farmer
Co-Founder and Chief Executive Officer
Simon Clarke
Co-Founder and Executive Chairman
Recent News
Company data provided by crunchbase
