ML- Data Scientist

Cupertino,California,United States

Machine Learning and AI

Do you have a passion for computer vision and deep learning problems? Are you interested in the latest development of the multi-modal models? The Data Analytic and Quality (DAQ) group is seeking a Machine Learning- Data Scientist to specialize in the evaluation of multimodal foundation models. This role involves collaboration with teams at Apple focused on developing foundation models, including ML engineers, data scientists, and ML Infrastructure engineers. Your primary responsibilities will include developing methods for the evaluation and improvement of foundation models, as well as refining the data used in training them, utilizing data centric AI approaches.

Key Qualifications

• Experience in statistical data analysis and machine learning techniques

• Solid foundation in data science, deep learning, computer vision, machine learning

• Demonstrated experience in in-depth analysis of machine learning model failures

• Proven expertise in data and model evaluation

• Proficiency in Data Centric AI

• Familiarity with various foundation models, such as SAM, LLAMA, LLaVA, CGPT4V, CLIP

• Proficiency in at least one scripting language, preferably Python

• Experience with analytical tools such as Jupyter, Pandas, NumPy, Matplotlib

• Outstanding verbal and written communication skills, along with strong collaborative abilities

• Experience in training models using frameworks like PyTorch, TensorFlow, Jax, etc

• You are self-motivated and curious with demonstrated creative and critical thinking capabilities and a highly developed drive to improve how things work

Description

• Conduct failure analysis on large multimodal models and machine learning models - Prototype novel evaluation and benchmark methods from foundation model literature research - Develop tools for analyzing and visualizing data - Design and implement experiment (DOE) for engineering studies and large scale user studies - Facilitate and support data collection and analysis in collaboration with other groups - Contribute in defining feature specifications and anticipated user experience based on data insights

Education & Experience

Minimum requirement of a bachelors degree

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 $55.82 and $84.09/hr, 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.

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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) .

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