Staff ML Engineer

Delivery & Execution

Lead and contribute to the design and delivery of secure, reliable, and scalable ML solutions.
Partner with product managers, engineers, and designers to define and ship well-scoped features.
Evaluate and configure platforms and tools to meet current and future business needs.
Build and maintain robust monitoring, alerting, and observability tooling.

Technical Strategy & Planning

Research and analyze business trends and usage signals to identify ML opportunities.
Evaluate and recommend technology platforms, infrastructure, and ML architectures aligned to business requirements.
Design infrastructure, network, database, and ML system architectures for new and evolving products.
Contribute to project planning across multiple concurrent initiatives.
Develop and deliver formal technical training for the team.

Continuous Learning

Participate in internal and external ML and software engineering communities.
Attend conferences and technical forums;
apply relevant innovations to team practice.
Stay current on research and tooling at the frontier of ML engineering.

Support & Enablement

Serve as a senior technical resource for partner and support teams.
Monitor production systems and maintain Service Level Objectives.
Conduct regular reviews of system capacity, performance, and prediction quality.