Senior Machine Learning Software Engineer IV

This is a senior individual contributor role with significant technical leadership responsibility. You’ll work hands-on to build production-quality software, data pipelines, tooling, and applications while helping shape the technical direction of our ML engineering organization.

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You will partner closely with software engineers, ML engineers, product leaders, and other cross-functional teams to turn ideas and product strategy into well-designed, maintainable software.

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The strongest candidates will be hands-on engineers who can take ownership of ambiguous, technically challenging problems; make sound engineering decisions; communicate their thinking clearly; and influence others without relying on formal authority.

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You will also be expected to speak up, challenge assumptions, contribute to technical direction, and help raise the engineering capabilities of the team.

• Demonstrated ownership of significant technical initiatives from concept through delivery \n

• Experience making architectural and technical decisions in complex software environments \n

• Experience working effectively across engineering, product, data, and/or ML teams \n

• Demonstrated ability to operate independently in ambiguous or evolving environments \n

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, or a related field-or equivalent professional experience \n, * Experience designing and maintaining data pipelines and distributed data-processing systems \n

• Strong understanding of software engineering fundamentals, including testing, code quality, maintainability, and performance \n

• Experience with SQL and relational databases \n

• Experience with CI/CD, Python packaging, and software deployment \n

• Strong proficiency with Git and modern version-control practices \n

• Strong familiarity with Linux and command-line tools \n

• Experience configuring and managing development environments \n

• Ability to design clean, reusable, well-tested, and maintainable software \n

• Experience using AI-powered coding assistants or coding agents as part of your day-to-day development workflow \n

• Ability to review, test, debug, and take ownership of AI-generated code rather than treating generated code as production-ready by default