Data Science and Machine Learning Innovator at Apple Inc.
4 days ago
We are seeking a highly skilled Data Science and Machine Learning Engineer to join our team at Apple Inc.
About the Role:
As a Data Science and Machine Learning Engineer, you will work on building cutting-edge machine learning models that serve various Apple lines of business and enrich end-user experiences. You will collaborate with cross-functional teams to develop innovative solutions and drive business growth.
Your Key Responsibilities:
- Design and develop high-quality machine learning algorithms to solve complex problems in computer vision, natural language processing, and other areas.
- Work closely with engineering teams to integrate and deploy ML models, ensuring seamless integration with existing systems.
- Partner with business teams to articulate research methodologies and results, driving informed decision-making.
- Collaborate with data scientists and engineers to develop and implement large-scale data pipelines and analytics solutions.
Your Requirements:
- Bachelor's degree in Computer Science, Engineering, or a similar quantitative field, with a focus on machine learning.
- 3+ years of industry experience implementing end-to-end data science and machine learning projects, familiarity with software development and release cycles.
- 2+ years of experience in one or more of the following ML areas: Computer Vision, NLP, Generative AI, AR/VR, Document Intelligence.
- Experience with deep learning frameworks such as PyTorch, TensorFlow, and Keras.
- Strong understanding of algorithm design, modeling, and quantitative analysis.
What We Offer:
- A competitive salary range of $180,000 - $250,000 per annum, based on experience.
- A comprehensive benefits package, including medical, dental, and vision coverage.
- Ongoing professional development opportunities, including training and conference attendance.
- A dynamic and inclusive work environment, with a strong focus on diversity and inclusion.
About Apple Inc.:
Apple is an equal opportunity employer 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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