AIML - Platform Solutions Architect - MLPT

$135,400 - $250,600/Yr

Apple - Seattle, WA

Full-time - Mid Level

Seattle, WA

Computer and Electronic Product Manufacturing

About the position

We are seeking a motivated and experienced Solution Architect to join our Machine Learning Platform Technology (MLPT) team. In this pivotal role, you will translate the needs of Apple's machine learning engineers into effective and scalable technical solutions. As a Solution Architect, you will bridge the gap between business collaborators and technical teams, ensuring that the technical solutions align with strategic goals and deliver measurable business value. You will work closely with Apple's ML Engineers to understand their machine learning lifecycle and collaborate 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. Your role will also involve partnering with internal teams to improve their model development pipeline, leveraging the right tools to enhance their efficiency and effectiveness. You will identify opportunities for improvement and recommend enhancements to machine learning service teams, while staying up-to-date with the latest trends and technologies in the machine learning industry.

Responsibilities

• Work with Apple's ML Engineers to understand their ML lifecycle.
• Collaborate with Machine Learning Platform teams and related service teams to understand their current tools and service offerings, roadmaps, and target use cases.
• Partner with internal teams to improve their model development pipeline and leverage the right tools to enhance 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.

Requirements

• 5 or more years of working experience as a solution architect or in 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 and Tensorflow.
• Experience with containerization technologies like Docker and Kubernetes.
• Hands-on experience with at least one programming language (e.g., Python, Java).

Nice-to-haves

• 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.

Benefits

• Comprehensive medical and dental coverage.
• Retirement benefits.
• A range of discounted products and free services.
• Reimbursement for certain educational expenses, including tuition.
• Opportunity to participate in Apple's discretionary employee stock programs.
• Eligibility for discretionary bonuses or commission payments.
• Relocation assistance.