
Staff Machine Learning Software Engineer, Sensor Intelligence
- Bangalore, Karnataka
- Permanent
- Full-time
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience testing, and launching software products.
- 3 years of experience with software design and architecture.
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- Experience in machine learning, deep learning, and AI development, with a record of building and deploying production-level models.
- Experience working in a research setting, collaborating with researchers and translating research findings into practical applications.
- Experience in leading technical projects, from conception to deployment, with a focus on delivering results on time.
- Do research on cutting edge sensor technologies.Evaluate large-scale, real-world sensor data for training sensor foundation model(s) and Build new sensor foundation models
- Collaborating with researchers and translating research findings from sensor data into practical applications for Fitness and health
- Write and test product or system development code.Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.