Overview
As a contributor in a customer-obsessed team, you will collaborate with data scientists and other developers on the team to create the necessary abstractions, infrastructure, interfaces and implement features to train, test, validate, scale and optimize for machine learning algorithms including but not limited to data cleaning, model training, hyper parameter tuning at massive, distributed scale. You will drive the incorporation of these customer-inspired innovations into our software. You will take holistic ownership of your features. Your responsibilities will include: Independently use appropriate AI agents, skills, and practices across the software development lifecycle. Work with appropriate internal stakeholders to understand customer/user requirements for a set of features Create a clear test strategy that ensures solution quality, executes test plans, and builds testable code. Cr
Full job description
Full Job Description
As a contributor in a customer-obsessed team, you will collaborate with data scientists and other developers on the team to create the necessary abstractions, infrastructure, interfaces and implement features to train, test, validate, scale and optimize for machine learning algorithms including but not limited to data cleaning, model training, hyper parameter tuning at massive, distributed scale. You will drive the incorporation of these customer-inspired innovations into our software. You will take holistic ownership of your features. Your responsibilities will include: Independently use appropriate AI agents, skills, and practices across the software development lifecycle. Work with appropriate internal stakeholders to understand customer/user requirements for a set of features Create a clear test strategy that ensures solution quality, executes test plans, and builds testable code. Create extensible and maintainable product feature code for minimal defects. Review product feature code to ensure it contains the correct test coverage and follows team standards. Implements debugging tools, tests, logs, and telemetry to verify assumptions. Strive for automation within production deployment aiming for zero-touch when possible. Apply security best practices to achieve security hardening across product features. Bachelor's / Master's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C#, Java, or Python OR equivalent experience. Experience with day-to-day AI agents and tool use Experience with AI/ML internals a big plus Experience writing production code in building internet scale services and distributed systems. Ability to debug, read code and work on a large and increasing codebase. Excellent communication and presentation skills. Engineering knowledge of machine learning systems and data pipelines, a plus. Experience collaborating with developers (and other stakeholders) and being a team player.
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