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Apple

AIML - Staff Machine Learning Engineer, Siri Information Intelligence

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Cupertino, California, United States

2d ago
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Job Description

Description

Description
As a staff ML engineer who works at the intersection between software and ML, you are excited to seek and tackle high-impact problems using well-optimized software and deep-learning solutions. You will stay up-to-date with the latest research in LLM, Visual Search and Multi-modal Search and work with a team of highly-qualified app framework and ML specialists to develop innovative ML systems. You'll be involved in all phases of developing the ML platform that powers different use cases, product-oriented ML training as well as model deployment and optimization. We have teams in Cupertino, Seattle and Zurich, and work closely with teams across Apple and across the world. We are looking for experts with great technical skills, a drive for high quality software and the ability to innovate creative solutions. Communicating clearly and having the flexibility to learn new technologies, while continuously developing your skills will be key to your success. You will fit into our teams, be a fantastic collaborator, comfortable with giving and receiving feedback and able to thrive in a dynamic environment.

Minimum Qualifications

Minimum Qualifications
  • 7+ years of professional experience in application, framework, or system stack on mobile platforms or embedded systems
  • 3+ years of experience building ML model based products that power user-facing features
  • Experience being a tech lead, and has been successfully leading a team to ship software to users
  • Excellent knowledge and good practical skills in designing software features, architectures or algorithms
  • Strong interpersonal skills able to work independently as well as in a team
  • BS or equivalent experience

Key Qualifications

Key Qualifications

Preferred Qualifications

Preferred Qualifications
  • Has iOS / MacOS development experience
  • Experience with optimizing performance on resource constrained devices
  • Experience with relevant deep learning software packages (Keras, Tensorflow, PyTorch…)
  • Experience with graphics development: OpenGL, Metal, Vulcan or neural engine integration / optimization
  • Experience with OpenGL and/or OpenCL programming

Education & Experience

Education & Experience

Additional Requirements

Additional Requirements

Pay & Benefits

Pay & Benefits
  • 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 $207,800 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.

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  • 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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