Responsibilities
- Explore and develop innovative modeling ideas for various datasets.
- Implement and optimize machine learning algorithms, including neural networks, autoencoders, and decision trees etc.
- Deployment of ML models on edge devices.
- Collaborate with cross-functional teams to understand project requirements and deliver high-quality solutions.
- Conduct experiments and analyze results to improve model performance.
- Document and present findings to the team.
- Master’s or PhD. in Computer Science, Electrical Engineering, or a related field.
- Strong proficiency in Python programming.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
- Experience with Generative AI
- Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
- Excellent problem-solving skills and attention to detail.
- Ability to work independently and as part of a team.
Basic qualifications
- Bachelor's degree in Electrical Engineering with 3+ years of experience with designing RF/Analog circuits for wireless products (e.g., LNA's, PLL's) and 4+ years of ASIC design, verification, or related work experience.
- 2+ years of academic or professional experience using two or more of the following software: CADENCE, Virtuoso, ADS.
Preferred qualifications
- Previous experience with real-world data modeling projects.
- Deployment of ML models on edge devices.
- Experience or knowledge of on-device algorithm development including hardware-aware ML models.
- Familiarity with analog/RF circuits
Tags & focus areas
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