AIML - Senior Machine Learning Engineer, Computer Vision, Siri and Information Intelligence Cupertino,California,United States Machine Learning and AI As part of Apple Intelligence, Siri team is at the forefront of the next revolution in machine learning and Computer Vision AI. Our innovative product redefines computing by using powerful technologies in computer vision and AI. We are dedicated to creating groundbreaking conversational assistant technologies for both large-scale systems and new client devices, building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide. We are seeking a highly skilled Senior Machine Learning Engineer specializing in Computer Vision to join our dynamic team. The ideal candidate will play a pivotal role in the evaluation and enhancement of our product's computer vision capabilities. They will collaborate closely with multi-functional teams to implement and optimize computer vision models, ensuring the highest level of performance, accuracy, and scalability. This role offers a great opportunity to contribute to the advancement of AI systems and shape the future of computing. As a Machine Learning Engineer within the Siri team, you will define new approaches for evaluating innovative computer vision algorithms and models to enhance product capabilities, including but not limited to image classification, face recognition, object detection, motion detection, action recognition, pose estimation, and gesture recognition. You will collaborate with different modeling teams, and product managers to conduct thorough evaluation and analysis of computer vision algorithms and models, identifying areas for improvement and optimization. You will work with large amounts of real-world data to analyze and propose changes to the Siri user experience. You will ensure data quality throughout all stages of acquisition and processing, data wrangling, etc. Your expertise in defining and measuring the online and offline end-to-end metrics will help communicate, evaluate, and iterate on innovative deployed models and predictors. **Description** As Siri is becoming an increasingly complex AI system, it is essential to understand the impact of each ML model on other dependent models, while assessing the impact on Siri end-user experience. The Siri team leads the development of advanced evaluation methodologies for ML based systems, model interpretability, and experimentation, to ensure that every release delivers an improved Siri user experience. The team is searching for versatile ML Engineers to work with a passionate, product-focused team to define innovative approaches for evaluating ML based systems, computer vision, and model interpretability You will run experiments, statistically interpret data with a mind on causation, data visualization, plus designing, building, and evaluating models. **Minimum Qualifications** + 7+ years of professional work experience applying machine learning to real-world problems with a focus on computer vision. + Excellent programming skills in Python, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras. + In-depth knowledge of computer vision algorithms and techniques, including image processing, feature extraction, and convolutional neural networks (CNNs). + Experience working with large-scale datasets for training and evaluation of computer vision models. **Key Qualifications** **Preferred Qualifications** + Excellent problem solving, critical thinking, and data analysis skills. Strong attention to detail. Proven track record to dive into data to discover hidden patterns and conduct error/deviation analysis + Effective communication skills and ability to collaborate effectively in a multi-functional team environment. + Domain knowledge in applied statistics and experiment design are a big plus! + Enthusiasm for continuing to learn innovative techniques in computer vision. + Strong background in A/B testing procedure, causal analysis, and cohort analysis. + Exposure to model interpretability techniques and their real-world advantages/drawbacks + Good Conversational AI domain knowledge + Experience working with end-to-end pipelines and/or crowd-sourced data labeling **Education & Experience** **Additional Requirements** **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 $175,800 and $312,200, 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 (https://www.apple.com/careers/us/benefits.html) 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 take affirmative action to ensure 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) **Apple Footer** Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . 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