CVML Algorithm Engineer

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CVML Algorithm Engineer

Sunnyvale, California, United StatesHardware

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Want to ship amazing experiences in Apple products? Be part our team that focuses on people understanding from real-time video streams and building higher level reasoning algorithms. We have delivered biometric features such as Face ID and Optic ID as well as many other computer vision algorithms powering Apple Vision Pro, iPhone, and iPad. We focus on a balance of research and development to deliver Apple quality, state-of-the-art experiences. Come shape Apple products as a driven and dedicated CVML Algorithm Engineer to push the limits of biometric ML algorithms with hands-on work and real world and simulated data, in an innovative team and be part of building the next big thing.

As a algorithm engineer, you will collaborate with an outstanding group algorithm engineers, software engineers, and our hardware engineering partners to develop new technologies for Apple’s next generation products. The focus will be innovating and delivering effective, efficient and well-tested computer vision based solutions from prototyping to shipping that are often deployed on edge devices. Besides domain expertise and technical knowledge the ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work. You will work together with similar minds in an outstanding team where your skills and expertise can be used to influence future user experiences and hardware that will be used by millions.

• Collaborate with data team to design human study and synthetic data request to collection model training data.

• Prototype machine learning architecture and algorithms based on state of art techniques from the latest literature drive application features from concept, model/algorithm design, training to delivery.

• Define algorithm performance verification specs and evaluate algorithm effectiveness and user experience impact across large data set.

• Collaborate with team members to optimize and deployment of your algorithms.

• BS in Machine Learning related fields (i.e. Data Science, Electrical Engineering, Computer Science, Statistics) and a minimum of 3 years relevant industry experience

• Proficiency in Python

• Solid background in machine learning and ML framework.Proficiency developing large scale models using modern machine learning packages (e.g TensorFlow, PyTorch)

• Experience with machine learning model interpretation, statistical inference, and evaluating deep learning models

• MS/PhD in Machine Learning related fields (i.e. Data Science, Electrical Engineering, Computer Science, Statistics)

• Experience with LLM techniques, vision transformers, and multimodal networks

• Familiarity with prompt engineering, and ability to use AL to develop efficient workflow

• Experience with software design, design data pipeline, and use C/C++

• Excellent interpersonal skills, communication, and documentation skills, including ability to present to technical and non-technical audiences

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 $150,400 and $277,600, 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.

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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

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