Senior Machine Learning Manager

Apple Inc.; Cupertino (CA); On-site; USD 219,000 - 379,000; Full time

Job summary

Join an innovative firm as a Senior Machine Learning Manager, where you will lead cutting-edge projects that leverage advanced ML techniques to solve complex mapping challenges. This role offers the opportunity to work with world-class teams, driving the development of sophisticated ML-centric data platforms. You will mentor a talented team while collaborating with engineers and data analysts to ensure the highest quality of data and user experiences. If you are passionate about technology and eager to make a significant impact, this is the perfect opportunity for you.

Benefits

Comprehensive medical and dental coverage

Retirement benefits

Discounted products and free services

Educational reimbursement

Employee stock purchase plan

Discretionary bonuses

Qualifications

• 10+ years of experience in statistical and ML methods for large data sets.
• Hands-on experience in Python or Java for production code development.
• Strong understanding of mathematics behind modern machine learning.

Responsibilities

• Lead ML architecture and technology selection for innovative solutions.
• Collaborate with multi-functional teams to develop mapping solutions.
• Provide technical and career mentorship to team members.

Skills

Machine Learning

Natural Language Processing

Computer Vision

Python

Java

Statistical Methods

Deep Neural Networks

Data Mining

Distributed Systems

Information Retrieval

Education

Master's degree in AI, ML, Mathematics, or Computer Science

Tools

SQL

Job description

Cupertino, California, United States Software and Services

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Description

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.

Minimum 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 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.
• Strong foundational understanding of mathematics behind modern machine learning, including linear algebra and statistics.
• Hands-on-experience in developing & supervising production code in Python or Java.
• Familiarity with databases, SQL, and scripting languages.
• Proven ability to translate requirements from design to implementation, both independently and within larger teams.
• Demonstrated ability to actively manage team performance and take ownership of driving outcomes.
• Master's degree or equivalent experience in AI, ML, Mathematics, Computer Science, or a related field.

Preferred Qualifications

• Experience in evaluating and deploying multiple search features, including large-scale ML models, deep learning, and NLP solutions.
• Experience with geospatial data is a plus.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $219,300 and $378,700, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

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