Staff Research Engineer: Autonomous ML & Edge AI

Google LLC; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a senior AI/ML research engineer to lead foundational research in learning, uncertainty quantification, and autonomous perception. You will develop novel OOD detection methods and calibration techniques, and collaborate with engineers to deploy scalable, real-time systems for edge compute environments.

Ideal candidates have extensive publications and a PhD or equivalent experience, with a track record of leading complex research projects and contributing to large-scale

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 6 years of experience leading research agendas, developing scalable algorithms, or deploying ML models in production or applied research environments.
• Experience with deep learning frameworks (e.g., JAX, TensorFlow) and with distributed training/evaluation pipelines.
• One or more scientific publication submission(s) for conferences, journals, or public repositories.

Responsibilities

• Scope, lead, and execute foundational research in learning, uncertainty estimation, and automated system diagnosis to enable robust, adaptive perception and decision-making stacks.
• Develop novel methodologies for out-of-distribution (OOD) detection, active learning with demonstrable impact on behavior and semantics, multimodal retrieval, epistemic/aleatoric uncertainty quantification, and sensor-to-perception-to-action stack calibration.
• Partner with research leads, software engineers, and product teams to integrate breakthroughs into scalable, (and possibly real-time) autonomous infrastructure.
• Author high-impact papers in premier machine learning, computer vision, and robotics venues (e.g., CVPR, ECCV, NeurIPS, ICRA, IROS), contributing code, models, and datasets where applicable.

Skills

Deep learning frameworks

Distributed training

Research leadership

Publication track record

Education

Bachelor’s degree or equivalent

PhD (or equivalent)

Job description

Google is seeking a senior AI/ML research engineer to lead foundational research in learning, uncertainty quantification, and autonomous perception. You will develop novel OOD detection methods and calibration techniques, and collaborate with engineers to deploy scalable, real-time systems for edge compute environments.

Ideal candidates have extensive publications and a PhD or equivalent experience, with a track record of leading complex research projects and contributing to large-scale