Machine Learning Engineer

Austin, Texas, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data, E-commerce, BiotechnologyIndustries

Requirements

Candidates should have 5-8 years of experience since completing undergraduate studies, with 2-3 years specifically as an ML engineer, data scientist, or applied scientist in a production environment. Proficiency in Python and ML libraries like Scikit-Learn, PyTorch, or TensorFlow is required, along with a solid understanding of classical ML techniques and deep learning frameworks. Familiarity with deploying models into production, monitoring performance, writing production-quality code, and querying data with SQL is necessary. Excellent communication skills for cross-functional collaboration and explaining technical concepts to non-technical stakeholders are also essential. An interest in ethical ML practices is preferred.

Responsibilities

The Machine Learning Engineer will collaborate with cross-functional partners to scope ML use cases, refine model requirements, and support the delivery of features that drive merchant value. They will support the development and deployment of ML solutions, contributing to model training, evaluation, and iteration. Responsibilities include helping design and maintain data pipelines and infrastructure for scalable ML systems, contributing to responsible ML development practices, and staying engaged with the ML community to bring new ideas to the team.