On this AI/ML role at Apple, you'll propose, implement, evaluate, and ship AI/ML technologies to improve data quality and deliver user-facing features, collaborating with engineering and design partners to architect end-to-end systems. You will work with world-class engineers and scientists to create innovative, production-ready AI/ML solutions, taking initiative and full ownership from concept through deployment while diving deep into data and building robust, real-world features.
Responsibilities
They will be proposing, implementing, evaluating, and shipping different AI/ML technologies to improve data quality or deliver user facing features.
This role will be collaborating with various partners, including engineering orgs and designers to architect the best overall system.
In this role, you’ll work alongside world-class engineers and scientists to develop innovative AI/ML solutions that enhance user experiences.
The ideal candidate takes initiative, demonstrates ownership from concept to production, is not afraid to dive deep into data, and is hands-on in building robust, real-world solutions.
Not Met Priorities
What still needs stronger evidence
Requirements
5+ years of experience in building large-scale machine learning systems
2+ years of experience in one or more of the following ML areas: generative AI models (e.g.
Transformers, LLMs, VLMs, MLLMs), computer vision or knowledge graph
Experience working with large-scale and real-world datasets
Metrics-driven and passionate about delivering models that produce high-quality, user-facing results
Strong programming skills and hands-on experience with machine learning tools and libraries such as PyTorch, TensorFlow, Scikit-learn
Strong knowledge of Spark or other related big data technologies
Familiarity with cloud platforms such as AWS, GCP, or Azure
Preferred Skills
2+ years of experience in one or more of the following ML areas: generative AI models (e.g.
Familiarity with cloud platforms such as AWS, GCP, or Azure
Masters or PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields.
Experience shipping a complex AI system, including research and leveraging generative AI models
Excellent written and oral communication skills
Education
(Not required)
– Masters or PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields.
Summary We are looking for a Machine Learning Engineer or scientist who will be converting abstract, high-level goals into concrete, measurable requirements. They will be proposing, implementing, evaluating, and shipping different AI/ML technologies to improve data quality or deliver user facing features. This role will be collaborating with various partners, including engineering orgs and designers to architect the best overall system. Description In this role, you’ll work alongside world-class engineers and scientists to develop innovative AI/ML solutions that enhance user experiences. The ideal candidate takes initiative, demonstrates ownership from concept to production, is not afraid to dive deep into data, and is hands-on in building robust, real-world solutions. They thrive in a fast-paced environment and bring resilience and curiosity to continually improve in pursuit of excellence. Minimum Qualifications
5+ years of experience in building large-scale machine learning systems 2+ years of experience in one or more of the following ML areas: generative AI models (e.g. Transformers, LLMs, VLMs, MLLMs), computer vision or knowledge graph Experience working with large-scale and real-world datasets Metrics-driven and passionate about delivering models that produce high-quality, user-facing results Strong programming skills and hands-on experience with machine learning tools and libraries such as PyTorch, TensorFlow, Scikit-learn Strong knowledge of Spark or other related big data technologies Familiarity with cloud platforms such as AWS, GCP, or Azure Preferred Qualifications
Masters or PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields. Experience shipping a complex AI system, including research and leveraging generative AI models Excellent written and oral communication skills 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 $181,100 and $272,100, 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. Apple accepts applications to this posting on an ongoing basis.
Apple
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Cupertino, CA