Job Details

Weekly Hours: 40

Role Number: 200641912-0836

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

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .