Machine Learning Engineer

About the Role

is seeking a Machine Learning Engineer to join our Data Science and Business Intelligence team. Data exploitation is central to our business, and in this role, you will play a crucial part in developing and deploying ML Infrastructure to enable world-class user experiences across all our products. You will support the organization in various areas including experimentation, fraud detection, market signals, marketing, and pricing.

• Develop and deploy ML Infrastructure, including feature store, data and model version control, training pipelines, inference serving, logging, and scaling systems.
• Consistently advance the state of ML for your problem domain, setting and executing against roadmaps.
• Define projects for other engineers.
• Own the full ML life cycle for significant new ML products, including production quality and continuous improvements.
• Complement data scientists by contributing to a reliable, secure, and maintainable modeling framework for production model deployment.
• Advocate for ML excellence.
• Code deliverables in tandem with Data Scientists.

• Consistently advance the state of ML for your problem, including setting and executing against roadmaps for 6-month+ time frames.
• Define projects for other engineers to solve and achieve impact based on your direction.
• Own the full ML life cycle for a significant new ML product, including product quality and continued improvements.
• Advocate for ML excellence.
• Code deliverables in tandem with Data Scientists.
• Complement our data scientists by providing a reliable, secure and maintainable modelling framework that can be used to deploy models to production easily.
• Play a critical role in helping to set up directions and goals for the team.
• Build and ship high-quality code, provide thorough code reviews, testing, monitoring and proactive changes to improve stability.
• Implement the hardest part of the system or feature.

• Consistently advance the state of ML for your problem, including setting and executing against roadmaps for 6-month+ time frames.
• Complement our data scientists by designing and implementing a reliable, secure and maintainable modelling framework that can be used to deploy models to production easily.
• Define projects for other engineers to possibly solve and achieve impact based on your direction.
• Own the full ML life cycle for a significant new ML product, including production quality.
• Advocate for ML excellence.
• Code deliverables in tandem with Data Scientists.
• Play a critical role in helping to set up directions and goals for the team.
• Build and ship high-quality code, provide thorough code reviews, testing, monitoring and proactive changes to improve stability.
• Implement the hardest part of the system or feature.

• Experience with developing end-to-end machine learning pipelines that ensure consistency between development and production environments.
• Ability to design ML architectures for scale with site traffic and complexity of features for predictive algorithms.
• Care with regards to model and data versioning, resource allocation and scaling, and logging to build optimal systems.
• Experience with creating systems that monitor and react to faults in resources, data streams and model responses.

• Ability to lead/coordinate rollout and releases of major initiatives.
• Experience with developing end-to-end machine learning pipelines that ensure consistency between development and production environments.
• Experience working with distributed storage systems
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• Ability to design ML architectures for scale with site traffic and complexity of features for predictive algorithms.
• Care with regards to model and data versioning, resource allocation and scaling, and logging to build optimal systems.
• Experience with creating systems that monitor and react to faults in resources, data streams and model responses.
• Experience with MLOps tools for scalable, production-level deployment including past work with feature stores, model hosting and versioning, data versioning, prediction and drift monitoring, and automated remediation.

• Ability to solve technical problems that few others can do.
• Ability to…