About the role

What will you do at Google?

MINIMUM QUALIFICATIONS:

* Bachelor's degree in Computer Science, Machine Learning, Mathematics, or a

related technical field, or equivalent practical experience.

* 8 years of experience in machine learning engineering or large-scale software

systems.

* 3 years of experience in Python programming

* 3 years of experience with ML frameworks such as JAX, PyTorch, or TensorFlow.

PREFERRED QUALIFICATIONS:

* Master's degree or PhD in Computer Science, Engineering, or a related field

with a focus on Machine Learning.

* Experience working directly on AI safety, or responsible AI research.

* Experience in Python and C++ for high-performance ML library development.

* Experience with harmful manipulation detection, persuasion modeling,

deceptive behavior analysis, or AI safety evaluation and mitigation.

* Experience building evaluation frameworks, benchmarks, or automated testing

pipelines for ML models.

ABOUT THE JOB:

At Google, research-focused Software Engineers are embedded throughout the

company, allowing them to setup large-scale tests and deploy promising ideas

quickly and broadly. Ideas may come from internal projects as well as from

collaborations with research programs at partner universities and technical

institutes all over the world.

From creating experiments and prototyping implementations to designing new

architectures, engineers work on real-world problems including artificial

intelligence, data mining, natural language processing, hardware and software

performance analysis, improving compilers for mobile platforms, as well as core

search and much more. But you stay connected to your research roots as an active

contributor to the wider research community by partnering with universities and

publishing papers.

Artificial intelligence will be one of humanity’s most transformative

inventions. At Google 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

learning opportunities and varied career pathways for those driven to achieve

exceptional results through collective effort.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

* Design, prototype, scale engineering solutions, and run rigorous experiments

to address emerging research priorities within the Responsibility portfolio.

* Work with Research Scientists to advance the state of the art in Responsible

AI.

* Act as a technical anchor for the team, establishing best practices for code

quality, scalability, and system design.

* Present complex engineering trade-offs and research results clearly to

cross-functional stakeholders and leadership.

Which skills does this role require?

JAXPyTorchTensorFlowC++Software EngineeringSystem DesignBenchmarkingAlgorithm DevelopmentMathematicsLarge-scale SystemsHardware PerformanceSoftware PerformanceArtificial IntelligenceDeepMind

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.