Senior ML Architect

Apple • Cupertino, CA

79d

About The Position

Apple Maps enables millions of delightful user experiences every day. Our mission is clear - to build the freshest, most accurate maps, powering features that to let users explore and navigate the world. We are seeking a senior architect who is passionate about leveraging cutting-edge machine learning techniques to develop our next-gen architecture focused on creating, updating and enriching business and places data while optimizing latency and cost. If you are driven by applying multi-modal ML techniques to global scale data challenges, thrive on building sophisticated data pipelines, and launching features that impacts millions of users daily, we may have a role for you. Passionate about creating robust systems using Gen AI, LLMs and other emerging technologies at scale? This could be the perfect opportunity for you! Businesses and places in the real world are in constant flux. Capturing this change accurately and quickly is both highly challenging and rewarding. Keeping the dynamic dataset of places up-to-date demands significant investments in Machine Learning. From Natural Language Processing to Computer Vision to Generative AI, the Maps Places Data Pipeline leverages cutting-edge ML techniques to process, interpret, and contextualize information from unstructured Internet documents, structured data providers, street and aerial imagery, probe data, and many other sources. ML models synthesize a rich and up-to-date digital representation of the world.

Requirements

• PhD or Master's degree in AI, Machine Learning, Computer Science, Mathematics, or a related field.
• Experience in evaluating and deploying multiple search features, including large-scale machine learning models, deep learning, and natural language processing solutions.

Nice To Haves

• Experience with geospatial data.

Responsibilities

• Design, technology selection and implementation of systems built to handle relentless streams of change signals associated with the global Places database.
• Drive platform and architectural choices to enable complex, agentic workflows for multi-modal information extraction, geospatial processing and data updates.
• Own design trade-offs between throughput, latency and cost of keeping Places data as accurate as possible.
• Collaborate with cross-functional teams, including engineers, data analysts, labelers, and validators, to develop innovative solutions.
• Enable content and domain experts to experiment and iterate rapidly with data at scale without being exposed to the underlying compute complexity.
• Provide technical guidance and mentorship to team members.

What This Job Offers

• Career Level: Senior
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees