Senior Machine Learning Manager
Apple
Senior Machine Learning Manager
Job Description
Apple Maps enables millions of delightful user experiences every day. Our mission is simple — to build the freshest, most accurate maps, powering features that let users explore and navigate the world. We are seeking an experienced Senior Engineering Manager who is passionate about leveraging cutting-edge machine learning techniques to lead an ML team focused on creating, enriching and updating business and places data while optimizing latency and cost. If you are driven by applying ML to solve global scale data challenges, leading a dedicated team of ML engineers, and launching features that impact millions of users, we may have a role for you. Passionate about applying Generative AI, LLMs and other emerging technologies at scale? This could be your next big opportunity! 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 Gen AI, the Maps Places Data Pipeline leverages innovative 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 Manager of our ML team, you will lead all aspects of ML architecture, technology selection, model training, fine-tuning, ablation studies, and productization. You will drive applied machine learning, using emerging technologies to solve complex mapping challenges. You will collaborate with world-class multi-functional teams, including engineers, data analysts, labelers, and validators, to develop innovative solutions. You will also play a key role in architecting a sophisticated ML-centric data platform, collaborating with some of the brightest engineering minds in the world. Your work will span a wide range of models, from large-scale datacenter grade solutions to lightweight edge solutions. By ensuring the freshest and most accurate data, your contributions will power seamless and delightful user experiences. Successful managers at Apple balance both technical execution and the long-term vision for their team. They collaborate effectively with partner and product teams to define goals, set expectations, and shape roadmaps. As a leader, you will provide both technical and career mentorship, empowering your team to succeed. 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
- leveraging cutting-edge machine learning techniquesintermediate
- leading a dedicated team of ML engineersintermediate
- applying Generative AIintermediate
- applying LLMsintermediate
- applying emerging technologies at scaleintermediate
- Natural Language Processingintermediate
- Computer Visionintermediate
- Gen AIintermediate
- ML architectureintermediate
- technology selectionintermediate
- model trainingintermediate
- fine-tuningintermediate
- ablation studiesintermediate
- productizationintermediate
- applied machine learningintermediate
- collaborating with multi-functional teamsintermediate
- architecting a sophisticated ML-centric data platformintermediate
- technical executionintermediate
- long-term visionintermediate
- collaborate effectively with partner and product teamsintermediate
- define goalsintermediate
- set expectationsintermediate
- shape roadmapsintermediate
- technical mentorshipintermediate
- career mentorshipintermediate
- strong interpersonal skillsintermediate
- communicating technical complexities clearlyintermediate
Required Qualifications
- 10+ years of experience applying and leading teams that apply sophisticated statistical and ML methods to analyze and process large, complex data sets. (experience, 10 years)
- Experience in one or more of the following domains: Algorithms, Architecture, Artificial Intelligence, Data Mining, Deep Neural Networks, Distributed Systems, Information Retrieval, ML, NLP, and Computer Vision. (experience)
- Strong foundational understanding of mathematics behind modern machine learning, including linear algebra and statistics. (experience)
- Hands-on-experience in developing & supervising production code in Python or Java. (experience)
- Familiarity with databases, SQL, and scripting languages. (experience)
- Proven ability to translate requirements from design to implementation, both independently and within larger teams. (experience)
- Demonstrated ability to actively manage team performance and take ownership of driving outcomes. (experience)
- Master's degree or equivalent experience in AI, ML, Mathematics, Computer Science, or a related field. (experience)
Preferred Qualifications
- PhD degree in AI, Machine Learning, Computer Science, Mathematics (degree in ai)
- Experience in evaluating and deploying multiple search features, including large-scale ML models, deep learning, and NLP 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 Gen AI, the Maps Places Data Pipeline leverages innovative 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 Manager of our ML team, you will lead all aspects of ML architecture, technology selection, model training, fine-tuning, ablation studies, and productization. You will drive applied machine learning, using emerging technologies to solve complex mapping challenges. You will collaborate with world-class multi-functional teams, including engineers, data analysts, labelers, and validators, to develop innovative solutions.
- You will also play a key role in architecting a sophisticated ML-centric data platform, collaborating with some of the brightest engineering minds in the world. Your work will span a wide range of models, from large-scale datacenter grade solutions to lightweight edge solutions. By ensuring the freshest and most accurate data, your contributions will power seamless and delightful user experiences.
- Successful managers at Apple balance both technical execution and the long-term vision for their team. They collaborate effectively with partner and product teams to define goals, set expectations, and shape roadmaps. As a leader, you will provide both technical and career mentorship, empowering your team to succeed. 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 Machine Learning Manager
Apple
Senior Machine Learning Manager
Job Description
Apple Maps enables millions of delightful user experiences every day. Our mission is simple — to build the freshest, most accurate maps, powering features that let users explore and navigate the world. We are seeking an experienced Senior Engineering Manager who is passionate about leveraging cutting-edge machine learning techniques to lead an ML team focused on creating, enriching and updating business and places data while optimizing latency and cost. If you are driven by applying ML to solve global scale data challenges, leading a dedicated team of ML engineers, and launching features that impact millions of users, we may have a role for you. Passionate about applying Generative AI, LLMs and other emerging technologies at scale? This could be your next big opportunity! 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 Gen AI, the Maps Places Data Pipeline leverages innovative 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 Manager of our ML team, you will lead all aspects of ML architecture, technology selection, model training, fine-tuning, ablation studies, and productization. You will drive applied machine learning, using emerging technologies to solve complex mapping challenges. You will collaborate with world-class multi-functional teams, including engineers, data analysts, labelers, and validators, to develop innovative solutions. You will also play a key role in architecting a sophisticated ML-centric data platform, collaborating with some of the brightest engineering minds in the world. Your work will span a wide range of models, from large-scale datacenter grade solutions to lightweight edge solutions. By ensuring the freshest and most accurate data, your contributions will power seamless and delightful user experiences. Successful managers at Apple balance both technical execution and the long-term vision for their team. They collaborate effectively with partner and product teams to define goals, set expectations, and shape roadmaps. As a leader, you will provide both technical and career mentorship, empowering your team to succeed. 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
- leveraging cutting-edge machine learning techniquesintermediate
- leading a dedicated team of ML engineersintermediate
- applying Generative AIintermediate
- applying LLMsintermediate
- applying emerging technologies at scaleintermediate
- Natural Language Processingintermediate
- Computer Visionintermediate
- Gen AIintermediate
- ML architectureintermediate
- technology selectionintermediate
- model trainingintermediate
- fine-tuningintermediate
- ablation studiesintermediate
- productizationintermediate
- applied machine learningintermediate
- collaborating with multi-functional teamsintermediate
- architecting a sophisticated ML-centric data platformintermediate
- technical executionintermediate
- long-term visionintermediate
- collaborate effectively with partner and product teamsintermediate
- define goalsintermediate
- set expectationsintermediate
- shape roadmapsintermediate
- technical mentorshipintermediate
- career mentorshipintermediate
- strong interpersonal skillsintermediate
- communicating technical complexities clearlyintermediate
Required Qualifications
- 10+ years of experience applying and leading teams that apply sophisticated statistical and ML methods to analyze and process large, complex data sets. (experience, 10 years)
- Experience in one or more of the following domains: Algorithms, Architecture, Artificial Intelligence, Data Mining, Deep Neural Networks, Distributed Systems, Information Retrieval, ML, NLP, and Computer Vision. (experience)
- Strong foundational understanding of mathematics behind modern machine learning, including linear algebra and statistics. (experience)
- Hands-on-experience in developing & supervising production code in Python or Java. (experience)
- Familiarity with databases, SQL, and scripting languages. (experience)
- Proven ability to translate requirements from design to implementation, both independently and within larger teams. (experience)
- Demonstrated ability to actively manage team performance and take ownership of driving outcomes. (experience)
- Master's degree or equivalent experience in AI, ML, Mathematics, Computer Science, or a related field. (experience)
Preferred Qualifications
- PhD degree in AI, Machine Learning, Computer Science, Mathematics (degree in ai)
- Experience in evaluating and deploying multiple search features, including large-scale ML models, deep learning, and NLP 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 Gen AI, the Maps Places Data Pipeline leverages innovative 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 Manager of our ML team, you will lead all aspects of ML architecture, technology selection, model training, fine-tuning, ablation studies, and productization. You will drive applied machine learning, using emerging technologies to solve complex mapping challenges. You will collaborate with world-class multi-functional teams, including engineers, data analysts, labelers, and validators, to develop innovative solutions.
- You will also play a key role in architecting a sophisticated ML-centric data platform, collaborating with some of the brightest engineering minds in the world. Your work will span a wide range of models, from large-scale datacenter grade solutions to lightweight edge solutions. By ensuring the freshest and most accurate data, your contributions will power seamless and delightful user experiences.
- Successful managers at Apple balance both technical execution and the long-term vision for their team. They collaborate effectively with partner and product teams to define goals, set expectations, and shape roadmaps. As a leader, you will provide both technical and career mentorship, empowering your team to succeed. 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 Machine Learning Manager @ Apple.
10 Questions
~2 Minutes
Instant Score
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