Research Engineer

Snapshot

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

Who are we?

Real-Time Dialog team in GDM Audio

Our mission

Mission: We are building the next generation of conversational capabilities, powered by the Gemini LLM. Our mission is to empower multimodal conversational agents with groundbreaking speech and audio capabilities. By starting with LLMs that natively understand rich audio input, we aim to create agents that can orchestrate all aspects of a dialog. This includes knowing when to listen and wait, when to interrupt, reading the emotive style, and coordinating complex multimodal interactions that span audio, video, and text. As part of the gemini audio team, our mission is to create, scale, and productionize novel capabilities into the core Gemini Model, impacting many product areas across Google.

Team Objectives:

• Create real-time dialog capabilities for Gemini agents that seamlessly span audio, video, and text modalities.
• Pioneer end-to-end ML/Gemini architectures that streamline the dialog process, minimizing the need for complex model cascades.
• Direct impact on Gemini core model development - setting the direction for real-time dialog capabilities covering pre-training and post-training.
• Collaborate on deployments in Gemini Live (GL), Cloud, XR (Glasses), Astra, and other product areas pushing the boundaries of multimodal interaction research.
• Scale core modeling advancements to meet product requirements / model families, including latency, safety, and factuality.

Job responsibilities

As a Senior Research Engineer, you will:

• Lead efforts to produce more natural and capable real-time dialog agents
• Collaborate closely with other teams on areas like reasoning, function calling, and multi-agent frameworks
• Partner with product teams design, develop, and deploy novel multimodal conversational agents.
• Create new data pipelines covering both real and synthetic sources, influencing pre-training and post-training (SFT & RL) 

About You

In order to set you up for success as a Research Engineer at Google DeepMind,  we look for the following skills and experience:

• Bachelor degree in Computer Science, a related field, or equivalent practical experience.
• Significant industry experience building and deploying Speech / ML models.
• Demonstrated experience in data preparation, training, and evaluation of ML models.
• 5 years of experience with software development in Python, esp. ML frameworks like Tensorflow, JAX, PyTorch, etc.

In addition, the following would be an advantage:

• Ph.D. in Computer Science or a related field.
• Experience with multimodal foundation models.
• Experience with real-time multimodal dialog systems.
• Hands-on experience with the Gemini models (data processing, training, SFT, RL, serving).
• Research background in NLP / Generative AI
• Experience with C++

The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.