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Apple

AIML - Software Development Engineer

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Cupertino, California, United States

2d ago
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Job Description

Description

Description
You will own requirements, including 'proof of concept' development, and co-own the development roadmap for ML system evaluation platform. The ideal candidate will have a proven track record in defining success by completing the full product cycle, from design and implementation to gathering feedback and iterating on systems, frameworks, and tools for the AI/ML teams. This stellar engineer will oversee system integration and contribute to how their software is used in evaluation plans and continuous integration of ML models. The quintessential candidate will help build, measure, and leverage their software to provide insights into the impact of platform changes. This individual thrives in fast-paced settings, leveraging a strategic mindset for problem-solving and driving innovative enhancements to Apple product user experiences.

Minimum Qualifications

Minimum Qualifications
  • 7-10 years of professional experience in software development, with a strong emphasis on designing, implementing, and optimizing large-scale data and compute-intensive Frameworks / APIs, and tools.
  • Strong software engineering skills, including system design, development, testing, debugging, release and maintenance.
  • Proven expertise in Swift or Obj-C (required). Python (desired) and at least one other object-oriented programming language (e.g., C++, C#, Java).

Key Qualifications

Key Qualifications

Preferred Qualifications

Preferred Qualifications
  • Knowledge of statistics based evaluation approaches, ML training pipelines and accuracy improvements of ML systems (Preferred).
  • Experience on delivering APIs/Frameworks that have been used with production environments and customers
  • Ability to develop long-term strategic visions and execute scalable solutions in fast-paced, agile work environments.
  • Strong organizational skills and experience working with multiple stakeholders.
  • Excellent communication and documentation skills.
  • Exposure to model development lifecycle, including data preprocessing, model training, evaluation, deployment, and monitoring.rvices like AWS (S3, ECS, Lambda) and container orchestration using Kubernetes.
  • Knowledge of big data technologies like Spark, Airflow, and Trino, and familiarity with databases like Snowflake, MySQL, PostgreSQL.
  • Experience with data visualization and reporting tools such as Tableau.

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 $175,800 and $312,200, 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.

    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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