We're starting to see the incredible potential of multimodal foundation and large language models, and many applications in the computer vision and machine learning domain that previously appeared infeasible are now within reach. We are looking for highly motivated and skilled Machine Learning Platform Engineers to join our team in the VCV group and help us enable that potential for realtime human understanding on Apple devices.
The VCV org has pioneered human-centric real-time features such as FaceID, Face Kit, and Gaze and Hand gesture control which have changed the way millions of users interact with their devices. We balance research and product requirements to deliver Apple quality, pioneering experiences, innovating through the full stack, and partnering with HW, SW and AI teams to shape Apple's products and bring our vision to life.

Join us to build the infrastructure, MLOps platforms, and deployment systems that power Apple's next generation of intelligent products and experiences.

Description:

As part of the VCV team, you will build and maintain the critical infrastructure that enables machine learning at scale across Apple's products. You will work on infrastructure, MLOps, cloud and on-device deployment systems, and data engineering platforms that support our ML development lifecycle.

You will be responsible for building and maintaining scalable machine learning infrastructure for training, evaluation, and deployment of computer vision and multimodal models. You will develop MLOps platforms and tools that streamline the ML development lifecycle from data ingestion to model deployment, create robust data pipelines for large-scale data collection, curation, preprocessing, and management, and implement on-device ML integration systems that deploy state-of-the-art algorithms to Apple devices.

Working closely with ML algorithms engineers, data scientists, and quality assurance teams, you'll help deploy state-of-the-art computer vision technologies on Apple devices, balancing performance with the compute and power constraints of on-device inference.

Preferred Qualifications:

Master's degree in Computer Science, Machine Learning, or related technical field

2+ years of experience in ML infrastructure, platform engineering, or production ML systems

Experience with Apple's frameworks including Core Foundation, Reality Kit, and CoreML

Hands-on experience with CI/CD pipelines, DevOps practices, and infrastructure as code

Experience with containerization technologies (Docker, Kubernetes) and orchestration systems

Knowledge of cloud platforms (AWS, GCP, Azure) and distributed computing frameworks (Spark, Ray, etc.)

Experience with GPU programming and hardware acceleration (Metal, CUDA, OpenCL)

Minimum Qualifications:

Bachelor's degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience

2+ years of relevant industry experience in software engineering, machine learning infrastructure, or related fields

Strong programming skills in Python, C++, and/or Swift

Experience with machine learning frameworks such as Py Torch, Tensor Flow, or JAX

Knowledge of machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment

Experience with distributed systems, cloud computing, or large-scale data processing

Strong foundational knowledge in Computer Science and software engineering principles

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 $147,400 and $272,100, 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.