Cellular Machine Learning Software Engineer

Apple • CA

100d

About The Position

Join the Wireless Technologies and Ecosystems team and be part of an elite team of engineers, working with multi-functional teams to drive innovation and develop products used by millions worldwide. We are looking for a highly technical individual who can excel in a fast-paced environment. Be ready to make something extraordinary when you come here. Industry-defining technologies are the norm at Apple. People who work here have reinvented and defined entire industries with our products and services. The same real passion for innovation also applies to our business practices - strengthening our dedication to leave the world better than we found it. You should join Apple if you want to help deliver the next amazing Apple product. Apple's Cellular Software team is seeking talented and highly motivated engineers to work across layers on groundbreaking cellular technologies. The position involves identifying and developing Artificial Intelligence (AI) / Machine Learning (ML) solutions to augment and enhance core cellular technologies for our iPhone, iPad, Watch and other wireless product lines. We are passionate about keeping our users connected anytime wherever they go with industry-best user experience. This team takes pride in not just coming up with proven software designs but also in disrupting traditional models of the cellular ecosystem. We do whatever it takes to bring user experience to the next level. Are you passionate about applying AI/ML to enable groundbreaking cellular technologies? Then we are looking for you. In this role you will be a key member of the Cellular SW AIML team with following responsibilities.

Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, or equivalent majors.
• 3+ years industry experience in researching and developing AI / machine learning solutions for commercial products.
• Experience in supervised and unsupervised learning methods.
• Expertise in implementing different Machine Learning algorithms, one or more of Deep Learning, Reinforcement Learning, Tree-based models, Graphical Models, RNN/LSTM, Transformers.
• Experience building machine learning models trained on large datasets making use of industry-grade data & training pipelines.
• Good understanding of algorithm complexity and experience in carrying out performance vs. complexity trade-off analysis.
• Strong proficiency in Python and ML frameworks (e.g., PyTorch or TensorFlow) for data pre-processing, ML model training, and hyper parameter tuning.

Nice To Haves

• Master's or PhD degree in Computer Science, Electrical Engineering, or equivalent majors.
• Hands-on work with LLMs including experience building or fine-tuning LLMs for software engineering tasks is a plus.
• Understanding of prompt engineering, and retrieval-augmented generation (RAG) is a plus.
• Familiarity with current generative AI ecosystem (e.g. ChatGPT, Claude) and experience with using LLMs for tools and workflows is a plus.
• Research and publication history in the AI/ML field (e.g., ICLR, NeurIPS, CVPR, ICCV/ECCV, industry lab publications).
• Ability to communicate effectively, both written and verbal, with cross-functional teams.

What This Job Offers

• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees