AIML - Senior ML Engineering Manager, Evaluation & Analytics

Company: Apple Inc.
Location: Seattle
Posted on: November 14, 2024

Job Description:

We are seeking a Senior Machine Learning Manager with a proven track record of leading projects in cross-functional and interdisciplinary settings, along with strong technical expertise. Your highly skilled team will be responsible for developing AI/ML-powered solutions to advance the measurement of Apple Intelligence products. This includes model evaluation by integrating AI-based techniques with human-in-the-loop and applying AI in data and evaluation fields to push the state of the art forward.DescriptionThe Data and Machine Learning Innovation team is deeply focused on the end-to-end lifecycle of ML product development, finding innovative ways to make it scalable and efficient. The team builds a suite of AI-driven systems responsible for evaluating Apple's intelligence products, ensuring they align with human values and user intents. As part of our team, you will work together with similar minds in a unique development team where your skills and expertise will be put into the Apple products. This role is highly multi-functional, and you will collaborate very closely with various highly skilled data scientists, tooling engineering, machine learning, and software development teams, developing groundbreaking solutions! In addition to technical leadership, you will also be expected to provide people leadership. You will recruit, hire, and grow people who are not only great technically but also demonstrate success in the highly collaborative, functional environment of innovation at Apple. You and your team will proactively drive a vision and work in service of something larger without creating a service organization. Your team can deliver what is needed but also redefine what is possible. As a leader, you give clear feedback to your team that balances opportunities for growth with a vision to inspire. You are humble and lead by example, have compassion for your colleagues and their challenges, but can drive a controversial direction when needed.Minimum Qualifications

• 10+ years of technical leadership experience.
• Excellent knowledge and experienced practical skills in major machine learning algorithms.
• Extensive knowledge in design and development of large scale distributed and big data processing systems.
• Mastery of one of the following languages: Python, Java, or C++, demonstrating a strong background in algorithms and data structures.
• MS or PhD in Computer Science, Machine Learning or related field.Preferred Qualifications
  • Excellent interpersonal skills and ability to work independently as well as in a team.
  • Creativity and curiosity for solving highly complex problems.
  • Excellent data analytical skills.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 $239,700 and $360,200, 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.Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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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