ML Engineer for Scalable AI Systems
6 days ago
We are seeking a talented Machine Learning Engineer to design, develop, and maintain scalable systems for evaluation and continuous optimization in support of Apple Intelligence products.
Company Overview:
At Apple Inc., we are committed to innovation and excellence. Our team is dedicated to shaping the future with cutting-edge technology and harnessing the power of data to build innovative algorithms and optimize performance.
Estimated Salary:
$213,000 - $312,200 per year, based on skills, qualifications, experience, and location.
Job Description:
As a Machine Learning Software Engineer, you will collaborate with visionary teams, explore the latest in AI research, and transform ideas into actionable outcomes. You will work in a highly cross-functional, fast-paced environment at the intersection of applied machine learning (ML) and product teams.
Key Responsibilities:
- Create robust, reliable, and scalable platforms that enable continuous improvement of ML models and products through systematic evaluation and optimization.
- Collaborate with applied ML and product teams to align technical solutions with business and product goals.
- Ensure platforms meet high standards for scalability, performance, and fault tolerance.
- Actively contribute to the development of best practices for system design and engineering processes.
Required Skills and Qualifications:
- Strong experience in designing and deploying large-scale, reliable, and scalable systems.
- Proficiency in one or more programming languages commonly used in ML and systems engineering (e.g., Python, Swift).
- Strong problem-solving and analytical skills with a focus on delivering practical solutions in complex environments.
Benefits:
- Comprehensive medical and dental coverage.
- Retirement benefits.
- A range of discounted products and free services.
- Reimbursement for certain educational expenses.
- Discretionary bonuses or commission payments.
Equal Opportunity Employer:
Apple Inc. 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.
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