Harnham ยท 4 days ago
Senior Machine Learning Platform Engineer
United States
Full-time
Remote
Senior Level
$195K/yr - $225K/yr
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No H1B
Hiring Manager
Gabriella Varela
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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
Strong background in software engineering and systems design.
Experience in developing and optimizing scalable systems that power real-time ML applications.
Ability to handle high-throughput data requests.
Experience in designing, developing, and deploying machine learning platforms and infrastructure solutions.
Experience with scalable systems that process millions of real-time requests per second.
Implementation and optimization of data systems, including Redis, DynamoDB, Kafka, Snowflake, and other databases.
Development of systems and workflows for pricing, curation, and fraud detection.
Experience leveraging technologies like Temporal and Airflow for workflow orchestration and deployment automation.
Collaboration with cross-functional teams to ensure seamless integration of ML systems in production.
Debugging, optimizing, and enhancing infrastructure to meet performance and reliability goals.
Support for online/e-commerce operations with scalable, low-latency systems.
Preferred
Infrastructure development of machine learning platforms.
Proficiency in AWS or other cloud platforms.
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.
Exposure to fraud detection systems.
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
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