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Apple Sr Software Development Engineer, AiDP Applied Machine Learning in Sunnyvale, California

Sr Software Development Engineer, AiDP Applied Machine Learning

Sunnyvale,California,United States

Corporate Functions

The Applied Machine Learning team has been at the forefront of accelerating digital transformation through machine learning across Apple's enterprise ecosystem. The proven ML Platforms, Solutions, and Services provide a comprehensive suite of capabilities to achieve efficiency, agility, and innovation at Apple scale—serving Apple's business-critical need across Apple’s enterprise. We are in search of an accomplished and driven Senior Software Development Engineer who can build reliable and scalable services and has a robust understanding of Large Language Models and Generative AI. Your primary role will involve designing and developing platform solutions to empower developers with experimentation and evaluation capabilities - helping them deliver high quality GenAI applications. As a senior engineer, you would be responsible for decoding and applying groundbreaking research to setting the course for the team in this exciting field. By contributing to our team, you'll play an integral part in developing our evaluation and observability capabilities, leaving a significant footprint on the evolution of our enterprise AI platforms. Join us in our exciting journey as we help unleash the adoption of Machine Learning and Generative AI across Apple’s enterprise. Your expertise and contributions will be invaluable in shaping the future of our Enterprise ML platform.

Description

As a Senior Software Development Engineer on the Evaluations and Observability Team, you’ll join a phenomenal team of hardworking engineers and will be entrusted with a range of responsibilities. YOUR TASKS WILL INCLUDE: - Leading the design and development of platform features for helping solution developers to experiment and identify optimal configurations for delivering high quality GenAI applications and to m. - Translating the latest research into reliable and scalable features that can deliver high quality experiences for platform users. - Setting the team's strategic direction, cultivating an environment that encourages innovation and professional growth. - Actively engaging in all aspects of feature development, from ideation and experimentation to deployment and maintenance. - Collaborating with various teams to develop and implement solutions, ensuring performance optimization and alignment with broader business goals. - Communicating complex technical topics effectively to non-technical stakeholders.

Minimum Qualifications

  • 7+ years experience in backend engineering.

  • 3+ years experience leading engineering teams.

  • Programming skills in Python

  • Experience developing scalable services with FastAPI or similar frameworks.

  • Experience in Machine Learning, with a particular emphasis on Large Language Models (LLMs), Retrieval Augmented Generation(RAG) and Generative AI.

Key Qualifications

Preferred Qualifications

  • Master’s in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

  • Experience with evaluating and optimizing Generative AI applications using frameworks like RAGAS

  • Familiarity with LLM Observability techniques and best practices

  • Experience with cloud platforms like AWS, GCP or Azure

  • Knowledge of containerization and orchestration tools like Docker and Kubernetes

  • Proven ability to comprehend, interpret, and apply cutting-edge research into tangible applications.

  • Proven problem-solving and leadership abilities, with the capacity to steer the team's research and build practical applications in a collaborative and fast-paced environment.

  • Creative, collaborative and project focused with an ability to work hands-on in multi-functional teams.

  • Excellent communication skills with the ability to communicate with all stakeholders effectively, including senior leadership.

Education & Experience

Additional Requirements

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 (https://www.apple.com/careers/us/benefits.html) 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 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)

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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 (Opens in a new window) .

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