Senior Engineering Manager — Global Multilingual AI

Apple, Inc.

Cupertino (CA)

On-site

USD 300,000 - 460,000

Full time

9 days ago

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Job summary

Apple Inc. is seeking a Senior Engineering Manager to lead a multi-team AI engineering organization focused on Siri and Apple Intelligence.

You will define strategy across internationalization, architecture, and delivery, growing managers and engineers, and partnering with regional teams to bring multilingual experiences to users worldwide. You will own end-to-end outcomes, including scalable ML architecture, model development, data pipelines, evaluation, and shipping production systems

Qualifications

10+ years of experience building software and/or machine learning systems, including 5+ years managing engineering teams.
Experience managing managers or leading a multi-team organization, with a track record of developing first-line managers and senior engineers.
Hands-on technical background in software and/or ML engineering, with depth in at least one of: LLM-based products, language technologies, speech systems, or multimodal AI products.
Proven track record of shipping ML-powered products at scale, with a detailed understanding of development, evaluation, integration, and release readiness.
Strong leadership, planning, and prioritization skills, with demonstrated ability to deliver complex, cross-functional programs.
Excellent written and verbal communication, including presenting to executive leadership and working effectively with people across a wide range of backgrounds and technical depth.
B.S. in Computer Science, Electrical Engineering, Machine Learning, Linguistics, or a related field, or equivalent experience.

Responsibilities

Lead and grow a multi-team organization of ML engineers and software engineers, including managing first-line managers and senior technical leaders.
Set the technical strategy and multi-year engineering plan for bringing Siri and Apple Intelligence capabilities to international markets, and translate it into clear priorities, milestones, and owners.
Own key decisions on ML architecture and language technologies across Siri products and technologies; shape model and platform requirements through partnership with the teams that own those systems.
Build scalable, repeatable systems and processes that reduce the cost and time of adding and improving each language, so quality scales with the number of markets rather than against it.
Establish rigorous, data-driven evaluation for each locale, including agentic and end-to-end evaluation, and use it to guide investment and launch decisions.
Lead data strategy, including annotation programs, data quality, and the definition of language-specific representations, conventions, and guidelines.
Partner across Siri and Apple Intelligence, influencing teams throughout the stack so that international is designed in from the start rather than added later.
Champion modern engineering practices and reusable GenAI-assisted workflows, to accelerate delivery while maintaining high quality and reliability.
Attract, hire, develop, and retain outstanding talent, and build a team culture of technical excellence, ownership, inclusion, and care.
Communicate the team’s strategy, engineering decisions, delivery progress, and cross-functional risks clearly to senior leadership and partner organizations.