Staff Machine Learning Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

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

• Develop and manage the systems that channel model outputs into live product interfaces: search ranking, recommendations, feed ordering, and other user-facing experiences.

• Establish and oversee model monitoring, alerting, drift detection, and retraining schedules — the feedback mechanisms that ensure deployed models maintain accuracy over time.

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

• Drive the decision-making process regarding the use of ML infrastructure and expertise from our parent company, GOAT Group, and determine when to advocate for developing in-house solutions.

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

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

⛳️ Requirements

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

• Proven end-to-end ownership of processes: from training pipelines to deployed inference, beyond just modeling.

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

• Strong skills in Python, SQL, DBT, and airflow or similar tools.

• Solid foundation in software engineering principles.

• Experience with ranking, retrieval, or recommendation systems.

• Demonstrated proficiency with ML lifecycle tools — such as experiment tracking, model versioning, pipeline orchestration, and drift detection — and comfort working with modern data infrastructure (cloud warehouse, search/retrieval systems).

🏝️ Benefits

• 401K

• Paid time off

• Dental insurance

• Medical insurance

• Vision insurance

• Disability coverage

• Life insurance options