Machine Learning Engineer, Assembled

• 5+ years shipping production time-series forecasts or similar ML systems
• Proficient in a typed backend language (Go, Java or Rust) and comfortable with Python for research
• Experience owning services in AWS or similar cloud
• Demonstrated technical leadership: design docs, trade-off decisions, mentoring, incident ownership
• Product mindset: ability to balance model accuracy, latency, cost and user experience

Desirable

• Contact-volume forecasting: data pipelines, statistical/ML models and inference services that predict ticket volumes, agent demand and time to resolution
• Queueing simulation: realistic models of synchronous (phone, chat) and asynchronous (email, messaging) queues that forecast wait times, staffing demand considering clearing weekend backlogs while still receiving new tickets
• Scheduling tooling: a calendar-like UI that lets managers create and adjust rosters for thousands of agents while respecting preferences, labor laws and SLAs
• Agent empowerment: self-service pages for shift swaps, time-off requests and overtime management
• Lead the architecture and delivery of new ML features end-to-end: research → prototype → production
• Drive technical roadmaps, code reviews and design sessions to share your knowledge with the rest of the team
• Mentor engineers, unblock thorny problems and act as subject-matter expert for data science topics
• Collaborate with Product and Design to turn unclear customer problems into shippable solutions