Senior / Staff ML Engineer, Apple Cloud AI Platform
Apple Cloud AI Platform powers the machine learning, AI, and data systems that enable intelligent experiences across Apple consumer products. We are looking for a Software Engineer who is excited to work directly with Apple product teams and translate real-world AI needs into production-ready solutions. You will operate at the intersection of full-stack engineering, data and ML platforms, backend systems and applied AI, using customer requirements to build end-to-end solutions and workflows as part of our platform offerings. This role is ideal for engineers who are highly collaborative, proactive, adaptable, and capable of turning ambiguous customer requests into working AI-powered solutions at scale.
Description
In this role you will partner directly with internal customers to understand their use cases, evaluate technical requirements, and build AI-driven systems and solutions that leverage Apple Cloud AI Platform capabilities. You will work across the stack, from data ingestion to model execution to UI integration, without strict constraints on programming languages or frameworks. You will prototype quickly, harden solutions for production, build services and feed insights back to platform teams to influence roadmap and improve the developer experience.
You will also act as a bridge between product management, partner platform, and customer teams by helping define best practices, documenting patterns, and working closely with platform engineering groups to drive alignment and deliver systems. Success in this role requires a combination of strong engineering fundamentals, applied ML awareness, platform thinking, customer empathy, and the ability to deliver in fast-evolving environments.","responsibilities":"Partner with customer teams to understand ML product requirements, identify integration challenges, and drive cross-lifecycle technical decisions (data, training, evaluation, deployment, monitoring).
Design and build end-to-end ML workflows and services spanning data ingestion, feature computation, training, evaluation, inference, and user-facing surfaces.
Develop backend services and interfaces (APIs, CLIs, SDKs, or UIs) supporting scalable ML workloads.
Integrate with platform systems including orchestration, storage, training/evaluation services, authentication, and monitoring.
Preferred Qualifications
Build prototypes, demos, and reference implementations to accelerate platform adoption.
Influence platform roadmap based on customer lifecycle needs (developer experience, scale, reliability, governance, ML metadata).
Experience enabling advanced ML workflows such as distributed training, tuning, feedback loops, observability, and evaluation pipelines.
Experience across multiple languages and execution environments and ability to select appropriate tools.
Experience with ML frameworks such as PyTorch or TensorFlow.
Experience with modern frontend frameworks such as React.
Experience building developer platforms (SDKs, developer tools, agents, internal platforms).
Ability to represent customer needs to platform engineering and drive cross-team technical direction.
Minimum Qualifications
7+ years of industry experience building production systems, full-stack applications, data workflows, ML powered products, or platform tooling.
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Experience leading cross-team engineering efforts or customer-facing technical engagements. Experience with modern AI and data stack (Python and at least some of: Spark, Ray, gRPC, GraphQL, REST, Kafka or similar).
Experience with cloud environments, distributed systems, containers, and CI/CD pipelines.
Familiarity with ML lifecycle concepts: experiment tracking, model packaging, deployment strategies, evaluation, and data governance.
Strong communication skills with customer empathy and ability to drive alignment.
Comfortable working in ambiguous environments with high ownership expectations.
BS, MS, or PhD in Computer Science, Software Engineering, Machine Learning, or equivalent degree with applicable experience
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 .
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 $181,100 and $318,400, 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.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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