Staff Machine Learning Engineer

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Take ownership of the entire lifecycle of predictive models in production, encompassing architecture, training pipelines, inference infrastructure, deployment, and ongoing model health.

• Develop and manage systems that integrate model outputs into live product interfaces, including search ranking, recommendations, feed ordering, and related user-facing experiences.

• Create and uphold model monitoring, alerting, drift detection, and retraining schedules—establishing feedback loops to maintain the accuracy of deployed models over time.

• Collaborate closely with Data Science, Data Engineering, Product Management, and backend engineering teams to transition work from validated approaches to production systems.

• Lead the decision-making process on leveraging ML infrastructure and expertise from our parent company, GOAT Group, versus advocating for in-house solution development.

• Contribute to ML infrastructure strategies, including serving architecture, feature computation, and pipeline orchestration, with a focus on scalability as the team and model count increase.

• Set technical standards and elevate the quality of how ML systems are constructed, evaluated, and operated across the pod.

⛳️ Requirements

• Over 7 years of engineering experience, with significant expertise in production machine learning systems.

• Proven end-to-end ownership of processes from training pipelines to deployed inference, not limited to just modeling.

• In-depth knowledge of ML, AI, and statistical models, along with their application in e-commerce environments.

• High proficiency in Python, SQL, DBT, and airflow or similar technologies.

• Strong foundational knowledge in software engineering principles.

• Experience with ranking, retrieval, or recommendation systems.

• Demonstrated expertise in ML lifecycle tools, including experiment tracking, model versioning, pipeline orchestration, and drift detection, along with familiarity in working with modern data infrastructure such as cloud warehouses and search/retrieval systems.

🏝️ Benefits

• 401K

• Paid time off

• Dental coverage

• Medical coverage

• Vision coverage

• Disability insurance

• Life insurance options