414 jobs for "Machine Learning Engineering Manager"

We're a team at Apple building the next generation of Private Cloud Compute inference and agentic services. Our work sits at the intersection of cloud services, machine learning, software experiences, and future Apple silicon. We deliver the server software that powers Apple Intelligence. We are seeking a deeply experienced software engineering manager to help drive our technology roadmap and software delivery.

Description

In this role, you will lead and grow a highly talented engineering organization responsible for designing and building agentic systems and the developer experiences around them. The work encompasses design of the core agentic architecture, the integration of various cloud services, and developer tooling. You will partner closely with cross-functional leaders across software experiences, ML research, hardware, system software, security, privacy, and SRE to define technical strategy and deliver production-grade systems running in the cloud.

As a senior leader, you will not only guide complex technical architecture decisions but also shape the organizational culture, drive engineering excellence, and influence how AI-assisted workflows are adopted across the broader Apple ecosystem. You will be responsible for scaling successful prototypes into foundational production systems that the broader organization depends on. This position requires a self-motivated individual with strong technical depth, exceptional people management skills, and the ability to navigate ambiguity in a fast-paced, startup-like environment.","responsibilities":"Build, mentor, and manage an inclusive organization of high-performing engineers.

Dedicate time to fostering talent, driving hiring and onboarding, managing performance, and prioritizing overall team health and growth paths.

Define the strategic vision and technical roadmap for agentic workflows and developer experience.

Drive the execution of complex, multi-year projects end-to-end, balancing rapid iteration with long-term architectural stability.

Partner closely with cross-functional product and cloud teams to enable delivery of seamless, secure, and delightful AI experiences.

Foster a culture of engineering excellence and build for scale and performance, focusing on system reliability, scalable cloud architecture, observability, throughput and latency, cost efficiency, and robust evaluation metrics.

Champion the adoption of generative AI tools and agentic workflows across the broader software organization to improve developer productivity and software quality.

Spot problems before they occur, proactively resolve cross-functional bottlenecks, and present your team's work to executive leadership to advocate for resources and technical direction.

Champion the security and privacy of user content, ensuring the team consistently applies secure-by-design and privacy-by-design principles in all architecture and delivery.

Preferred Qualifications

Strong working proficiency and conceptual understanding of generative AI, foundation models, and agentic workflows, with hands-on experience bringing AI systems to production at scale.

Experience leading organizations through periods of significant growth or technical transformation, including building and evolving team structures to match scaling demands.

Strong analytical and data-driven mindset, with a genuine interest in software evaluation and using metrics to drive product and architectural decisions.

Experience with Private Cloud Compute, on-device/cloud ML inference pipelines, or Apple silicon-adjacent infrastructure.

Familiarity with secure-by-design and privacy-by-design principles as applied to cloud-based AI services.

Minimum Qualifications

10+ years of engineering management experience, with a proven track record of delivering complex, large-scale engineering projects across multiple teams or organizations.

Solid technical foundation in software engineering, distributed systems, and cloud infrastructure, with an ability to engage deeply with system design trade-offs.

Demonstrated experience building and scaling developer tools, ML infrastructure, or AI systems from concept to production.

Exceptional communication and interpersonal skills, with high emotional intelligence and the ability to influence across all levels, from executive partners to individual contributors.

Demonstrated ability to operate effectively in ambiguity and handle rapidly shifting priorities without losing trust or execution discipline.

Bachelor's, Master's, or equivalent professional experience in Computer Science, Computer Engineering, or a related field.

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 $225,600 and $381,600, 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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