What does a successful Senior Machine Learning Engineer do at Clover?
The Data Science team at Clover is responsible for improving the merchant experience by building AI and machine learning (ML) powered features into Clover products. The team builds both AI/ML applications as well as the underlying AI/ML platform architecture required to scale these experiences.
As a successful Senior Machine Learning Engineer, you will own and drive the architecture design, development, and deployment for all AI/ML products the Data Science team develops for Clover merchants.
What you will do:
Leverage your extensive AI/ML architectural design and development experience to build and deploy end-to-end, performant, customer-facing AI/ML applications
Research state-of-the-art AI/ML techniques to incorporate into the team’s best practices/design patterns
Collaborate directly with Product, Design, and Engineering counterparts on shaping the AI/ML roadmap, user experience, and technical infrastructure
Provide technical leadership, guidance, mentorship to other members of the team
What you will need to have:
3+ years of industry experience developing end-to-end customer-facing AI/ML applications and infrastructure
Strong fluency in Python, REST APIs, and AI/ML frameworks, modeling techniques, and model serving
Experience with data stores (relational (e.g. MySQL, Snowflake), NoSQL (e.g.MongoDB, Redis), object (e.g. GCS), vector databases), CI/CD (Docker, Jenkins), serverless (Cloud Run/Functions)
Strong, internally motivated mindset to improve the team’s capabilities in a rapid, iterative, thoughtful, and empathetic manner
Effective communication skills to convey complex concepts in a concise manner in written, visual, and verbal form to both technical and non-technical, leadership audiences
What would be great to have:
Advanced degree in a quantitative discipline: Machine Learning. Artificial Intelligence, Computer Science, Statistics, Mathematics, Physics or equivalent
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