Machine Learning Engineer - Multimodal Foundation Models Sunnyvale, California, United States | Machine Learning and AI

Apply fast, check the full description by scrolling below to find out the full requirements for this role. Description This position requires a highly motivated individual who wants to help advance the field of Generative AI and multi-modal foundation models. Responsibilities include designing, implementing, and evaluating foundation models based on the latest advancements, considering future hardware and product needs. You will collaborate with various teams across Apple to deliver top-quality products. Minimum Qualifications Bachelor's degree with at least 3 years of relevant industry experience. Strong programming skills in Python. Familiarity with deep learning toolkits. Experience with training large models and handling large datasets. Preferred Qualifications PhD in Computer Science, Computer Vision, Computer Graphics, Machine Learning, or related fields. Strong publication record in conferences such as CVPR, ICCV/ECCV, NeurIPS, ICML. Deep understanding of large foundation models. Expertise in multi-task, multi-modal machine learning. Ability to communicate analysis results effectively. Apple offers a competitive total compensation package, including base salary (range: $147,400 - $272,100), stock options, benefits like medical and dental coverage, retirement plans, educational reimbursement, and potential bonuses or relocation assistance. Learn more about Apple Benefits. Apple is an equal opportunity employer committed to diversity and inclusion. We promote equal opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Learn more about your EEO rights as an applicant.

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