Cellular Machine Learning Engineer - Embedded Software
Cellular Machine Learning Engineer - Embedded Software
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1 Vacancy
Job Description
- 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.
Employment Type
Full-Time
