Senior ML Architect
Apple
Senior ML Architect
Job Description
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. As a senior architect on the team, you will be responsible for design, technology selection and implementation of systems built to handle relentless streams of change signals associated with our global Places database. You will drive the platform and architectural choices to enable complex, agentic workflows for multi-modal information extraction, geospatial processing and data updates. You will own design trade-offs between throughput, latency and cost of keeping Places data as accurate as possible. You will collaborate with world-class cross-functional teams, including engineers, data analysts, labelers, and validators, to develop innovative solutions. Your solutions will enable content and domain experts to experiment and iterate rapidly with data at scale without being exposed to the underlying compute complexity. By enabling our teams to build the freshest and most accurate data, your contributions will power seamless and delightful user experiences. Senior engineers at Apple balance both technical execution and the long-term vision for their team. They collaborate effectively with partner and product teams to refine requirements, shape roadmaps and release delightful experiences that uphold Apple’s core values. As a technical leader, you will provide also provide technical guidance and mentorship to team members. Strong interpersonal skills are essential for communicating technical complexities clearly to engineering partners, product management teams, and executives across Apple.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
8,000,000 - 15,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- machine learning techniquesintermediate
- multi-modal ML techniquesintermediate
- building data pipelinesintermediate
- creating robust systemsintermediate
- Generative AIintermediate
- LLMsintermediate
- Natural Language Processingintermediate
- Computer Visionintermediate
- designing systemsintermediate
- technology selectionintermediate
- implementation of systemsintermediate
- architectural choicesintermediate
- agentic workflowsintermediate
- multi-modal information extractionintermediate
- geospatial processingintermediate
- data updatesintermediate
- design trade-offsintermediate
- throughput optimizationintermediate
- latency optimizationintermediate
- cost optimizationintermediate
- collaboration with cross-functional teamsintermediate
- technical executionintermediate
- long-term visionintermediate
- refining requirementsintermediate
- shaping roadmapsintermediate
- technical guidanceintermediate
- mentorshipintermediate
- interpersonal skillsintermediate
- communicating technical complexitiesintermediate
Required Qualifications
- 10+ years of experience in developing and deploying large scale, ML-centric systems and data pipelines on complex data domains in production settings. (experience, 10 years)
- 5+ years of hands-on-experience with using ML models in production systems to ship customer-facing features. Experience in one or more of the following domains: Algorithms, Architecture, Artificial Intelligence, Data Mining, Deep Neural Networks, Distributed Systems, Information Retrieval, Machine Learning, Natural Language Processing, and Computer Vision. (experience, 5 years)
- Strong foundational understanding of principles of distributed systems for large scale data processing; hands-on-experience with cloud platforms like AWS, GCP or Azure. (experience)
- Deep mastery of developing & supervising production code in Scala, Java or C++ using ML toolkits like PyTorch, TensorFlow, Scikit-learn. (degree in scala)
- Familiarity with big data technologies like Spark, Solr/Lucene, Cassandra (experience)
- Proven ability to translate requirements from design to implementation, both independently and within larger teams. (experience)
- Demonstrated track record of making complex technical decisions and driving outcomes. (experience)
- Master's degree or equivalent experience in AI, Machine Learning, Mathematics, Computer Science, or a related field. (experience)
Preferred Qualifications
- PhD or Master's degree in AI, Machine Learning, Computer Science, Mathematics, or a related field. (degree in master)
- Experience in evaluating and deploying multiple search features, including large-scale machine learning models, deep learning, and natural language processing solutions. (experience)
- Experience with geospatial data is a plus. (experience)
Responsibilities
- 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.
- As a senior architect on the team, you will be responsible for design, technology selection and implementation of systems built to handle relentless streams of change signals associated with our global Places database. You will drive the platform and architectural choices to enable complex, agentic workflows for multi-modal information extraction, geospatial processing and data updates. You will own design trade-offs between throughput, latency and cost of keeping Places data as accurate as possible.
- You will collaborate with world-class cross-functional teams, including engineers, data analysts, labelers, and validators, to develop innovative solutions. Your solutions will enable content and domain experts to experiment and iterate rapidly with data at scale without being exposed to the underlying compute complexity. By enabling our teams to build the freshest and most accurate data, your contributions will power seamless and delightful user experiences.
- Senior engineers at Apple balance both technical execution and the long-term vision for their team. They collaborate effectively with partner and product teams to refine requirements, shape roadmaps and release delightful experiences that uphold Apple’s core values. As a technical leader, you will provide also provide technical guidance and mentorship to team members. Strong interpersonal skills are essential for communicating technical complexities clearly to engineering partners, product management teams, and executives across Apple.
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Senior ML Architect
Apple
Senior ML Architect
Job Description
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. As a senior architect on the team, you will be responsible for design, technology selection and implementation of systems built to handle relentless streams of change signals associated with our global Places database. You will drive the platform and architectural choices to enable complex, agentic workflows for multi-modal information extraction, geospatial processing and data updates. You will own design trade-offs between throughput, latency and cost of keeping Places data as accurate as possible. You will collaborate with world-class cross-functional teams, including engineers, data analysts, labelers, and validators, to develop innovative solutions. Your solutions will enable content and domain experts to experiment and iterate rapidly with data at scale without being exposed to the underlying compute complexity. By enabling our teams to build the freshest and most accurate data, your contributions will power seamless and delightful user experiences. Senior engineers at Apple balance both technical execution and the long-term vision for their team. They collaborate effectively with partner and product teams to refine requirements, shape roadmaps and release delightful experiences that uphold Apple’s core values. As a technical leader, you will provide also provide technical guidance and mentorship to team members. Strong interpersonal skills are essential for communicating technical complexities clearly to engineering partners, product management teams, and executives across Apple.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
8,000,000 - 15,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- machine learning techniquesintermediate
- multi-modal ML techniquesintermediate
- building data pipelinesintermediate
- creating robust systemsintermediate
- Generative AIintermediate
- LLMsintermediate
- Natural Language Processingintermediate
- Computer Visionintermediate
- designing systemsintermediate
- technology selectionintermediate
- implementation of systemsintermediate
- architectural choicesintermediate
- agentic workflowsintermediate
- multi-modal information extractionintermediate
- geospatial processingintermediate
- data updatesintermediate
- design trade-offsintermediate
- throughput optimizationintermediate
- latency optimizationintermediate
- cost optimizationintermediate
- collaboration with cross-functional teamsintermediate
- technical executionintermediate
- long-term visionintermediate
- refining requirementsintermediate
- shaping roadmapsintermediate
- technical guidanceintermediate
- mentorshipintermediate
- interpersonal skillsintermediate
- communicating technical complexitiesintermediate
Required Qualifications
- 10+ years of experience in developing and deploying large scale, ML-centric systems and data pipelines on complex data domains in production settings. (experience, 10 years)
- 5+ years of hands-on-experience with using ML models in production systems to ship customer-facing features. Experience in one or more of the following domains: Algorithms, Architecture, Artificial Intelligence, Data Mining, Deep Neural Networks, Distributed Systems, Information Retrieval, Machine Learning, Natural Language Processing, and Computer Vision. (experience, 5 years)
- Strong foundational understanding of principles of distributed systems for large scale data processing; hands-on-experience with cloud platforms like AWS, GCP or Azure. (experience)
- Deep mastery of developing & supervising production code in Scala, Java or C++ using ML toolkits like PyTorch, TensorFlow, Scikit-learn. (degree in scala)
- Familiarity with big data technologies like Spark, Solr/Lucene, Cassandra (experience)
- Proven ability to translate requirements from design to implementation, both independently and within larger teams. (experience)
- Demonstrated track record of making complex technical decisions and driving outcomes. (experience)
- Master's degree or equivalent experience in AI, Machine Learning, Mathematics, Computer Science, or a related field. (experience)
Preferred Qualifications
- PhD or Master's degree in AI, Machine Learning, Computer Science, Mathematics, or a related field. (degree in master)
- Experience in evaluating and deploying multiple search features, including large-scale machine learning models, deep learning, and natural language processing solutions. (experience)
- Experience with geospatial data is a plus. (experience)
Responsibilities
- 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.
- As a senior architect on the team, you will be responsible for design, technology selection and implementation of systems built to handle relentless streams of change signals associated with our global Places database. You will drive the platform and architectural choices to enable complex, agentic workflows for multi-modal information extraction, geospatial processing and data updates. You will own design trade-offs between throughput, latency and cost of keeping Places data as accurate as possible.
- You will collaborate with world-class cross-functional teams, including engineers, data analysts, labelers, and validators, to develop innovative solutions. Your solutions will enable content and domain experts to experiment and iterate rapidly with data at scale without being exposed to the underlying compute complexity. By enabling our teams to build the freshest and most accurate data, your contributions will power seamless and delightful user experiences.
- Senior engineers at Apple balance both technical execution and the long-term vision for their team. They collaborate effectively with partner and product teams to refine requirements, shape roadmaps and release delightful experiences that uphold Apple’s core values. As a technical leader, you will provide also provide technical guidance and mentorship to team members. Strong interpersonal skills are essential for communicating technical complexities clearly to engineering partners, product management teams, and executives across Apple.
Tags & Categories
Answer 10 quick questions to check your fit for Senior ML Architect @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs