- Develop, train, and optimize ML models for localization and tracking.
- Apply state-of-the-art ML techniques (e.g., transformers, probabilistic modeling) to localization challenges.
- Collaborate with localization experts and software engineers for production deployment.
- Conduct simulations to evaluate model performance and robustness.
- Research and implement new ML methods and best practices.
- Maintain documentation of ML models, experiments, and components.
- Analyze model failures and design improvement strategies.
Key Skills:
- Solid understanding of ML algorithms, model training, evaluation, and deployment.
- Background in signal processing and wireless technologies.
- Proficiency in Python and ML frameworks (PyTorch).
- Analytical and problem-solving skills with data-driven approaches.
- Familiarity with software development best practices and ML deployment pipelines.
- Ability to work independently and in teams.
- Strong communication skills in English.
Preferred:
- Experience with localization algorithms or sensor fusion.
- Knowledge of probabilistic modeling and estimation theory.