Senior Software Machine Learning Engineer at DeepMind, focusing on designing agentic workflows and scalable runtime infrastructure for AI agents, while collaborating with researchers to translate AI research into production-ready features.
Location and Compensation
Location: Mountain View, CA (onsite)
Salary: USD 174,000 – 253,000 per year
Responsibilities
- Develop and implement advanced agentic workflows enabling models to intelligently utilize tools and data to tackle complex problems.
- Engineer the runtime infrastructure for maximum speed and reliability, minimizing latency for state-of-the-art models and features.
- Collaborate closely with research scientists and product managers to convert AI research and user needs into robust, scalable, and impactful features.
- Design and implement testing and evaluation frameworks to benchmark performance, accuracy, and efficiency of agentic workflows, driving continuous improvement.
- Own the production environment, leading debugging efforts, improving system observability, and ensuring maximum uptime and reliability of the agent.
Requirements
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience in software or machine learning engineering.
- 1 year of experience with one or more of the following areas: generative AI, large language modeling, reinforcement learning (sequential decision making), recommendation systems, or specialization in another ML field.
Technologies
Benefits
Minimum Qualifications
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience in software or machine learning engineering.
- 1 year of experience with one or more of the following: generative AI, large language modeling, reinforcement learning (sequential decision making), recommendation systems, or specialization in another ML field.
Preferred Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, Applied Statistics, Machine Learning, or equivalent practical experience in an industry setting.
- 3 years of experience coding with C++ or Python.
- Experience building or using AI Agents and productionizing large language and multimodal models.
About the Job
At DeepMind, the aim is to advance artificial intelligence through ambitious research and practical deployment. The role emphasizes measuring the intelligence of prototypes and working with a team of machine learning and neuroscience researchers to develop cutting edge AI agents. Responsibilities may include creating systems for agent testing using 2D and 3D games and developing test problems to evaluate capabilities.
Joining our Deep Research team means leveraging Gemini models to build highly capable and dependable research agents. The work sits at the intersection of rigorous research and real world impact, contributing to AI development that benefits broad user communities while maintaining safety and ethical standards.
We operate across multiple domains with diverse teams and clear opportunities for growth. Compensation is determined by factors such as job-related skills, experience, and relevant education or training. In the US, the salary range is USD 174,000 to USD 253,000, with a target bonus of 15 percent, plus equity and benefits. Learn more about benefits at Google.
