Software Engineer, Gemini Audio Data Infrastructure, DeepMind
Google DeepMind · New York, NY
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- On site
- Full-time
- $252,000 / year
- New York, NY
Job highlights
- Advance Gemini Audio AI with data infrastructure.
- Optimize data pipelines and model training.
- Integrate data enhancements for model performance.
- Deliver critical initiatives with agility.
- Work on transformative AI technologies.
About the role
About the Role
Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information. As a Software Engineer on the Gemini Audio Data Infrastructure team at Google DeepMind, you will be instrumental in advancing generative AI capabilities by focusing on audio data and its underlying infrastructure. Audio is a crucial component of Gemini, powering generative AI across numerous Google products like Gemini Live, Search, YouTube, Cloud, Maps, Meet, and Translate. Google DeepMind is a leading AI research lab dedicated to pushing the boundaries of AI development to address global challenges and accelerate product innovation for billions of users. We prioritize safety and ethics in all our endeavors, using AI for public benefit and scientific discovery. This role offers diverse learning opportunities and career pathways within a global team committed to achieving exceptional results through collaboration.Responsibilities
- Lead the strategic design and end-to-end execution of long-term projects to advance Gemini Audio capabilities and scale foundational data infrastructure.
- Architect and conduct complex experiments by optimizing high-throughput data pipelines and loaders, managing Gemini model training and evaluation cycles.
- Deliver data-driven insights to inform technical strategy and drive the integration of high-impact data enhancements into Gemini’s pre-training and post-training mixtures.
- Ensure the continuous delivery of high-quality data to improve model performance and capabilities.
- Deliver mission-critical initiatives with agility, effectively navigating evolving requirements and time-sensitive deadlines while maintaining high standards of technical excellence and project momentum.
Minimum Qualifications
- Bachelor’s degree or equivalent practical experience.
- 5 years of coding experience in C, C++, Java, or Python.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- 1 year of experience with state-of-the-art GenAI techniques (e.g., LLMs, multi-modal, large vision models) or with GenAI-related concepts (language modeling, computer vision).
- Work or educational experience in machine learning or artificial intelligence.
Preferred Qualifications
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
- Experience developing accessible technologies.
Equal Opportunity Statement
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.Key skills/competency
- Software Engineering
- Gemini Audio Data Infrastructure
- Machine Learning Infrastructure
- GenAI Techniques
- Data Pipelines
- Model Training
- Deep Learning
- Python
- C++
- System Design
Skills & topics
- Software Engineer
- Gemini Audio
- Data Infrastructure
- DeepMind
- AI
- Machine Learning
- GenAI
- Python
- C++
How to get hired
- Tailor your resume: Highlight your experience with C++, Python, ML infrastructure, and GenAI techniques relevant to audio data.
- Showcase your impact: Quantify your achievements in software design, data pipelines, and model deployment.
- Prepare for technical interviews: Brush up on data structures, algorithms, and system design principles.
- Demonstrate AI/ML knowledge: Articulate your understanding of GenAI concepts and ML infrastructure.
- Research Google DeepMind: Understand their mission, values, and recent advancements in AI.
Technical preparation
Practice coding in C++, Java, or Python.,Review ML infrastructure concepts and tools.,Study GenAI techniques and applications.,Prepare for system design and algorithm questions.
Behavioral questions
Describe a complex project you led.,How do you handle evolving requirements?,Share an experience optimizing data pipelines.,Discuss your approach to AI ethics.
Frequently asked questions
- What is the work arrangement for the Software Engineer, Gemini Audio Data Infrastructure role at Google DeepMind?
- This role offers flexibility, with opportunities to indicate a preferred working location from New York, NY, USA, or Mountain View, CA, USA. Specific details on the hybrid or remote nature would be discussed during the hiring process, but Google typically offers hybrid arrangements for many roles.
- What are the key technical skills required for the Software Engineer, Gemini Audio Data Infrastructure position?
- The role requires strong coding experience (5 years) in languages like C++, Java, or Python, along with 3 years of ML infrastructure experience (model deployment, evaluation, optimization, data processing) and 1 year of experience with GenAI techniques (LLMs, multi-modal models) or concepts (language modeling, computer vision). Experience with data structures and algorithms is also highly valued.
- What is the salary range for the Software Engineer role at Google DeepMind?
- The US base salary range for this full-time position is $174,000 to $252,000 annually. This range does not include potential bonuses, equity, or benefits, which would be discussed further by your recruiter.
- What is the educational background expected for this role?
- A Bachelor's degree or equivalent practical experience is the minimum requirement. A Master's degree or PhD in Computer Science or a related technical field is preferred, along with significant work or educational experience in machine learning or artificial intelligence.
- How does Google DeepMind approach AI safety and ethics in their work?
- Google DeepMind places safety and ethics as their highest priority. They are committed to using AI for widespread public benefit and scientific discovery, ensuring that development and deployment are conducted responsibly and ethically.
- What is the role of audio data in the Gemini AI model?
- Audio is a core modality for Gemini, powering its generative AI capabilities across a wide array of Google products, including Gemini Live, Search, YouTube, Cloud, Maps, Meet, and Translate.
- What kind of projects will a Software Engineer work on at Google DeepMind?
- Software Engineers at Google DeepMind work on critical projects to advance AI development. For this specific role, you will focus on scaling foundational data infrastructure for Gemini Audio capabilities, optimizing data pipelines, and enhancing model performance.