AI Software Engineer (Calendar Intelligence)

Quick Facts

• Role: AI Software Engineer focused on Calendar Intelligence (on-device and private ML)

Description

You will drive the modeling and evaluation behind intelligence features in Calendar—from problem framing through launch—working in a highly collaborative team. The work includes designing evaluation metrics, datasets, and baselines before building models, finding or generating useful data when it is scarce, and leveraging large language models (on device and server) while controlling cost and quality tradeoffs. You will also implement production code across the stack and coordinate with design and product.

Responsibilities

• Frame ambiguous requests into solvable ML problems (signals, target behavior, approach selection)

• Design evaluation plans before model development (metrics, eval sets, baselines, human review)

• Build and evaluate models with limited or imperfect data using priors, shared structure, and self-supervision

• Integrate and compare approaches using large language models and smaller models trained on larger model judgments; assess heuristics when appropriate

• Decide where a model call is worth its cost and where smaller/alternative approaches perform better

• Collaborate with other ML teams, agree on shared interfaces, and write production code needed by the solution

Requirements

• Bachelor’s degree (or foreign equivalent) in Computer Science, EE, Applied Mathematics, or related field

• 2+ years experience developing ML/AI-driven software

• Proficiency in one or more programming languages: Python, Swift, Objective-C, or C++

• Experience building LLM-driven prototypes/features, including tool/function-calling interface design, context construction, and validating model output

• Fluency with agentic coding tools such as Claude Code, with strong judgment and verification habits

• Experience driving an ambiguous problem through launch with cross-functional partners, including other ML teams

• Ability to drive alignment across teams on shared API surfaces

• Exceptional problem-solving skills

Benefits

• Opportunity to create private, on-device Calendar intelligence used by billions of people