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Google DeepMind · 2 days ago

Research Engineering Manager

Mountain View, California, US

Full-time

Onsite

Director/Executive

$248K/yr - $349K/yr

7+ years exp

Google DeepMind is a leader in artificial intelligence, focused on advancing AI responsibly for the benefit of humanity. The Research Engineering Manager will lead and manage teams on key research projects, ensuring the delivery of scalable machine learning systems while aligning technical strategies with broader organizational goals.

Artificial Intelligence (AI)Business DevelopmentMachine Learning

Growth Opportunities

Responsibilities

Lead, mentor, and grow a team of Research Engineers

Partner with executive leadership to define the research strategy for advancing the frontier of AI responsibility and safety

Communicate the research strategy across executive leadership within GDM and our Google Partners, building collaborations across PAs and functional units

Define and communicate a strategic vision for aligning frontier research with Google's product roadmap

Oversee the design, development, and implementation of robust and scalable ML systems and tools

Communicate complex technical concepts, project statuses, risks, and opportunities clearly and concisely to various stakeholders, including researchers, engineers, and executive leadership

Keep up with the latest advancements in AI, machine learning, LLMs, and AI ethics and safety

Qualification

Machine Learning expertiseDeep LearningLarge Language ModelsTechnical leadershipML frameworksAI ethicsCommunicationInterpersonal skillsAdaptability

Required

7+ years of experience in a technical leadership role, with at least 3 years of experience managing engineering or research teams

Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related technical field, or equivalent practical experience

Proven track record of leading and delivering complex, large-scale machine learning projects

Deep understanding and hands-on experience with state-of-the-art Machine Learning techniques, particularly in Deep Learning and Large Language Models (LLMs)

Fluency and experience with common ML frameworks (e.g., TensorFlow, PyTorch, JAX) necessary to guide Senior Research Engineers in scaling for LLMs and deep learning

Excellent communication and interpersonal skills, with the ability to explain technical concepts to both technical and non-technical audiences, including executive leadership

Demonstrated ability to work flexibly across multiple projects and successfully adapt to evolving priorities in a fast-paced research driven environment

Preferred

Master's or PhD in Computer Science, Machine Learning, or a related field

Experience working in AI ethics, safety, or responsibility research

Experience with large-scale data processing and distributed systems

Publications or contributions to the machine learning research community

Familiarity with the sociotechnical aspects of AI systems

Benefits

Bonus

Equity

Benefits

Company

Google DeepMind

Glassdoor4.5

Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.

Founded in 2010

London, England, GBR

501-1000 employees