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MINIMUM QUALIFICATIONS:
• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer
Science, or a related field, or equivalent practical experience.
* 8 years of software development experience, including system design, data
structures, and algorithms.
* 7 years of experience leading technical project strategy, ML design, and
optimizing industry-scale ML infrastructure (e.g., model deployment, model
evaluation, data processing, debugging, fine tuning).
* 5 years of experience in a technical leadership role; overseeing projects,
with 5 years of experience in a people management, supervision/team
leadership role.
PREFERRED QUALIFICATIONS:
* 5 years of experience with one or more of the following: media generation,
reinforcement learning (e.g., sequential decision making), ML infrastructure,
or specialization in another ML field.
• Experience with generative AI research or applications.
• Experience evaluating model performance, analyzing results, and implementing
improvements.
• Experience with machine learning frameworks and libraries such as TensorFlow,
PyTorch, Hugging Face, etc.
• Experience in developing and shipping software products rapidly.
• Contributions to open-source projects.
ABOUT THE JOB:
In this role, you will lead the development and deployment of novel
applications, leveraging Google’s generative AI models. This role focuses on
rapidly developing new features, and working across partner teams to deliver
solutions, and maximize impact for Google and Google customers. You will be
instrumental in translating AI research into real-world products, and
demonstrating the capabilities of latest generation models. You will be building
and shipping software, and leading engineering teams, ideally with some
experience in early-stage environments, where you may have contributed to
scaling products from initial concept to production. You will drive product and
business impact, and develop strong relationships with research teams. You will
be a passionate machine learning engineering leader with a drive to build
innovative products and a desire to work at the forefront of AI.
Artificial intelligence will be one of humanity’s most transformative
inventions. At DeepMind, we are a pioneering AI lab with exceptional
interdisciplinary teams focused on advancing AI development to solve complex
global challenges and accelerate high-quality product innovation for billions of
users. We use our technologies for widespread public benefit and scientific
discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer
varied learning opportunities and varied career pathways for those driven to
achieve exceptional results through collective effort.
RESPONSIBILITIES:
• Lead a team in the design, development, and deployment of scalable generative
AI applications and advocating industry best practices.
• Lead the team through the rapid development of new features, iterating based
on evaluation results while mentoring members to cultivate a collaborative
and high-performing environment.
• Collaborate with researchers and product managers to translate research
advancements into tangible product features.
• Oversee the optimization of software performance and ensure the reliability
of deployed applications.
• Lead the architecture and development of new products and features from 0 to
1.