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AIML - Platform Solutions Architect - MLPT
AIML - Platform Solutions Architect - MLPT-July 2024
Seattle
Jul 3, 2026
About AIML - Platform Solutions Architect - MLPT

  AIML - Platform Solutions Architect - MLPT

  Seattle,Washington,United States

  Machine Learning and AI

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  Summary

  Posted:Nov 18, 2023

  Weekly Hours: 40

  Role Number: 200521336

  We are seeking a motivated and experienced Solution Architect to join our Machine Learning Platform Technology (MLPT) team. You will play a pivotal role in translating Apple’s machine learning engineers’ needs into effective and scalable technical solutions. As a Solution Architect, you will be responsible for bridging the gap between business collaborators and technical teams, ensuring that the technical solutions align with strategic goals and deliver measurable business value!

  Key Qualifications

  5 or more years of working experience as a solution architect or related roles

  Proven experience in designing, implementing, and managing production-quality software solutions

  Deep understanding of cloud computing, distributed systems, and data architectures

  Knowledge of Machine Learning Accelerators like GPU, TPU, and Machine Learning frameworks like PyTorch, Tensorflow.

  Experience with containerization technologies like Docker and Kubernetes

  Hands-on experience with at least one programming language (e.g., Python, Java)

  Description

  As a solution architect, you will have the following responsibilities: - Work with Apple’s ML Engineers to understand their ML lifecycle. - Work with Machine Learning Platform teams and related service teams to gain a deep hands-on understanding of their current tools and service offerings, roadmaps and target use cases. - Partner with internal teams to improve their model development pipeline and leveraging the right tools to improve their efficiency and effectiveness. Identify opportunities for improvement and recommend enhancements to machine learning service teams. - Stay up-to-date with the latest trends and technologies in the machine learning industry.

  Education & Experience

  Bachelors degree or Master's degree (preferred) in Computer Science, Engineering, or equivalent experience in related fields

  Additional Requirements

  Effective Communication: Explains complex technical concepts clearly to both technical and non-technical audiences.Problem-Solving and Analysis: Identifies, analyzes, and resolves challenging technical issues with strong analytical skills.Adaptability and Initiative: Can adapt to changing environments and takes ownership of tasks with self-motivation.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 $131,500.00 and $243,300.00, 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.Apple Footer

  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) .

  Apple will not discriminate or retaliate against applicants who inquire about,disclose,or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

  Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco,review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.

  Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .

  Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

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