Sr. Applied Scientist Perception (SLAMVIO), Fauna

We are seeking a Sr. Applied Scientist to develop and optimize Visual Inertial Odometry (VIO) and sensor fusion systems for our intelligent this role you will design implement and deploy state estimation and tracking algorithms that enable robots to understand their position and motion in real time even in challenging and dynamic environments.

You will own the full pipeline from algorithm development through embedded deployment ensuring that perception systems run efficiently on resource-constrained robotic hardware. You will also leverage modern machine learning approaches to push the boundaries of classical perception methods combining learned representations with geometric techniques to achieve robust real-time performance.

This is a deeply hands-on role. You will work directly with sensors hardware and real-world data while prototyping testing and iterating in physical environments. The ideal candidate has strong foundations in VIO and sensor fusion practical experience optimizing algorithms for embedded platforms and familiarity with how modern deep learning is transforming perception.

Key job responsibilities
- Design and implement Visual Inertial Odometry algorithms for robust real-time state estimation on robotic platforms like Sprout
- Develop multi-sensor fusion pipelines integrating cameras IMUs and other sensing modalities for accurate pose tracking
- Optimize perception and tracking algorithms for deployment on embedded hardware (e.g. ARM GPU-accelerated edge devices) under strict latency and power constraints
- Apply modern ML-based perception techniques (learned features depth estimation neural odometry) to complement and improve classical geometric approaches
- Build and maintain calibration evaluation and benchmarking infrastructure for perception systems
- Collaborate with hardware controls and navigation teams to integrate perception outputs into the robots autonomy stack
- Lead technical projects from research prototyping through production deployment

- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at NY New York - 183800.00 - 248700.00 USD annually