Senior Research Scientist: Autonomous ML & Systems

Google; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Benefits offered by this job

Equity

Bonus target

Job summary

Google Research in Mountain View seeks a Research Scientist to lead foundational research in machine learning, robotics, and autonomous systems. You will design large-scale experiments, build scalable algorithms, and deploy promising ideas across products and infrastructure.

The role emphasizes publishing in top conferences and collaborating with product teams to translate theory into real-world autonomous systems innovations.

Qualifications

• Ph.D. in Computer Science, Robotics, Electrical Engineering, Statistics, or a related field (or equivalent practical experience).
• 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 (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICRA, CoRL).

Responsibilities

• Scope, lead, and execute foundational research in learning, uncertainty estimation, and automated system diagnosis to enable adaptive perception and decision-making stacks.
• Develop novel methodologies for out-of-distribution 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

Lead research agendas

Develop scalable algorithms

Deploy ML models in production

Deep learning frameworks (JAX, TensorF

Distributed training/evaluation

Publish research in top venues

Education

Ph.D. in CS/Robotics/EE/Statistics or related field

Tools

JAX

TensorFlow

Large-scale distributed training infra

Job description

Google Research in Mountain View seeks a Research Scientist to lead foundational research in machine learning, robotics, and autonomous systems. You will design large-scale experiments, build scalable algorithms, and deploy promising ideas across products and infrastructure.

The role emphasizes publishing in top conferences and collaborating with product teams to translate theory into real-world autonomous systems innovations.