Cellular Machine Learning Engineer – Embedded Software – Apple
Job Description
Apple’s Cellular Software team is seeking talented and highly motivated engineers to work 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 all the time 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 the following responsibilities.
- Bachelors degree in Computer Science, Electrical Engineering, or equivalent majors.
- 3+ years industry experience in researching and developing AI / machine learning solutions for commercial products.
- 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.
- Strong proficiency in Python and ML frameworks (e.g., PyTorch or TensorFlow) for data pre-processing, ML model training, and hyper parameter tuning.
- Masters or PhD degree in Computer Science, Electrical Engineering, or equivalent majors.
- Familiarity with embedded software development using C or C++.
- Knowledge of wireless/internet standards such as 3GPP 5G NR and 4G LTE and user plane protocols (SDAP/PDCP/RLC/MAC) is a huge plus.
- Understanding of protocols such as TCP/UDP/IP/QUIC/RRC/NAS is a plus.
- Research and publication history in the AI/ML field (e.g., ICLR, NeurIPS, CVPR, ICCV/ECCV, industry lab publications).
- Familiarity with CI/CD tooling.
- Strong problem solving and debugging skills.
- Ability to communicate effectively, both written and verbal, with cross-functional teams.
