Research Software Engineer, Multimodal AI

Google Inc.; San Jose (CA); On-site; USD 174,000 - 253,000; Full time

Benefits offered by this job

15% bonus target

Equity opportunities

Comprehensive benefits

Job summary

Google Inc. is looking for a Research Software Engineer in San Jose, CA to advance AI for XR devices. This role focuses on developing algorithms and enhancing AI agents, requiring strong programming skills, particularly in C++ and Python.

Applicants should have a Bachelor's degree and substantial software development experience. The position offers a competitive salary package, including a bonus and equity opportunities, reflecting Google's commitment to innovation and technology leadership.

Qualifications

• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products.
• 2 years of experience in software development focused on deep learning or computer vision.

Responsibilities

• Develop algorithms/models to enhance AI agents for XR devices.
• Write production-quality C++/Python code and tests.
• Create a comprehensive evaluation plan for model performance.

Skills

C++

Python

Generative AI

Machine Learning

Deep Learning

Computer Vision

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in Computer Science or related technical field

Tools

JAX

TensorFlow

PyTorch

Job description

Research Software Engineer, Multimodal AI

corporate_fare Google place San Jose, CA, USA

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Qualifications (Required)

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 2 years of experience in software development (e.g., deep learning, perception, or computer vision).
• Experience in C++, Python, Generative AI, Machine Learning.

Preferred Qualifications

• Master's degree or PhD in Computer Science or related technical field.
• 1 year of experience in a technical leadership role.
• Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.
• Experience with multimodal learning, large language models or AI agents.
• Experience with prompt engineering, few-shot learning, post-training techniques, and evaluations.
• Familiarity with large-scale model training and deployment.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Google XR mission is to give people superhuman abilities by making information instantly and intuitively accessible. The team is working to advance the artificial intelligence for the next generation of wearable computers that are immersive, spatially aware, and contextual.

In this role, you will conduct development on Large Language Models (LLMs) and agents, particularly in the multimodal domain (e.g., audio), focusing on developing more capable Artificial Intelligence (AI) for XR devices (e.g., glasses, goggles). You will contribute to AI research and see your work define the next-generation of computing products.

For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap – the convergence of AI and XR. This is more than just new devices – it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.

Key Responsibilities

• Develop algorithms/models to enhance AI agents for XR devices using techniques like prompting, few-shot learning, post-training techniques to improve model performance and real-world XR scenarios.
• Write production-quality C++/Python code and tests.
• Create a comprehensive evaluation plan, from dataset development to Key Performance Indicator (KPI) definitions and measurements.
• Identify, implement and ship the latest modeling innovations including orchestration, multimodality, tool integrations, memory, hybrid agent architectures and personalization.
• Demonstrate concepts through rapid prototyping and iterative development, using team testing in close partnership with the XR product teams.

Compensation

US: $174,000 - $253,000 (USD) + 15% bonus target + equity + benefits

Equity is granted exclusively and discretionally 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.

EEO Statement

Google is a proud 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.