Senior Research Scientist, Sensor Technology

Google LLC; Mountain View (CA); Sur place; USD 207 000 - 300 000; Plein temps

Résumé du poste

Google LLC in Mountain View, CA is hiring a Senior Research Scientist specializing in Sensor Technology. You will lead research bridging ML, signal processing, and embedded software, architect multimodal foundation models, and push innovations from lab to mass-market hardware.

Responsibilities include setting up large-scale experiments, collaborating with hardware and firmware teams, and publishing results to advance edge AI for consumer devices and health tech.

Qualifications

• PhD in CS or related field or equivalent practical experience.
• 4 years of ML research, embedded signal processing, or applied algorithm development for consumer devices.
• 3 years of technical leadership guiding research strategy or ML architecture for shipping products.
• At least one scientific publication submission (conference/journal).

Responsabilités

• Set up large-scale tests and deploy promising ideas quickly and broadly.
• Architect multimodal foundation models and optimize for real-time edge inference.
• Lead cross-functional teams to co-design hardware and software for ML workloads.
• Publish findings and contribute to the broader research community.

Connaissances

ML research

Embedded signal processing

Algorithm development

Formation

PhD in CS or related field

Outils

JAX

PyTorch

TensorFlow

Description du poste

Senior Research Scientist, Sensor Technology

corporate_fare Google place Mountain View, CA, USA

• PhD in Computer Science, a related field, or equivalent practical experience.
• 4 years of experience working in machine learning research, embedded signal processing, or applied algorithm development for consumer electronics, devices and services, or medical devices.
• 3 years of experience in technical leadership, guiding research strategy, ML architecture, or algorithmic development for shipping products.
  
• One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred qualifications:

• 8 years of experience spanning machine learning research (e.g., time-series foundation models, Generative AI) and embedded software engineering.
  
• Experience in digital signal processing (DSP) and extracting meaningful features from noisy, real-world data (e.g., wearable sensor data, physiological signals) using both classical and ML-based approaches.
• Experience with modern machine learning frameworks such as JAX, PyTorch, or TensorFlow, alongside experience deploying algorithms or models onto embedded systems or edge devices.
• Experience building data pipelines and designing controlled ablations.
• Expertise in edge AI and hardware/software co-design, particularly optimizing ML models for severely power- and memory-constrained environments (e.g., model quantization, TinyML).

About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

As a Research Scientist at Google, you will lead projects bridging foundational AI, signal processing, and embedded software for future hardware. You will architect multi-modal foundation models, ensuring they operate efficiently within the strict power, compute, and latency constraints of edge devices.
Partnering with hardware technologists, you will co-optimize AI software pipelines with novel sensor architectures driving the lifecycle from research to mass-scale productization. As a technical authority, you will guide cross-functional product and firmware teams to deploy AI-native health features, explore edge AI research, and enhance user experiences through on-device intelligence.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

• Lead innovative research and development at the intersection of machine learning, signal processing, and embedded systems for future health and input technologies across Google's consumer hardware portfolio.
  
• Architect and train multimodal machine learning and foundation models tailored for time-series sensor data, while actively optimizing them for real-time inference on resource-constrained embedded systems.
  
• Drive hardware-software co-design by partnering tightly with Specialized Hardware Engineers, ensuring that ML architectures and algorithmic requirements directly influence next-generation sensor definitions and edge-compute selection (e.g., MCUs, DSPs, micro-NPUs).
  
• Define the long-term technical strategy spanning cloud-based ML training infrastructure down to on-device evaluation, guiding large-scale data collection pipelines and embedded software architecture.
  
• Lead cross-functional integration efforts with Hardware, Firmware, Product, and Clinical teams to deploy highly optimized ML models and sensing algorithms into consumer-facing edge devices quickly and broadly.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.