Key Responsibilities:
- 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:
- Strong 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.
Required Experience:
Senior IC
Key Responsibilities: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 simulation...
Key Responsibilities:
- 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:
- Strong 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.
Required Experience:
Senior IC
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