Machine Learning Quality Engineer
Google DeepMind
Job Overview
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Job Description
About the Role
As a Machine Learning Quality Engineer, you will be part of Google DeepMind's pioneering AI lab, working on next-generation technologies that empower billions of users. This role focuses on advancing AI development to solve complex global challenges and accelerate high-quality product innovation, with a strong emphasis on safety and ethics.
We need versatile engineers who can bring fresh ideas from various areas, including artificial intelligence, natural language processing, distributed computing, and large-scale system design. You will work on critical projects within a fast-paced environment, with opportunities to grow and evolve with the business.
Project Janus at Google DeepMind
Project Janus is a new product development within the Gemini App team. This initiative leverages the world-leading Gemini model to deliver intelligent automation across web browsers, computers, and beyond. You will play a crucial role in ensuring the quality and performance of this transformative AI product.
About Google DeepMind
Google DeepMind is at the forefront of AI innovation, pushing boundaries across multiple domains. Our interdisciplinary teams are dedicated to achieving exceptional results through collective effort, ensuring our technologies provide widespread public benefit and scientific discovery. We prioritize safety and ethics in all our endeavors.
Responsibilities
- Develop from scratch the next generation of AI technologies that empower Google users.
- Work on Janus modeling and quality, including setting up evaluation sets and infrastructure, agentic orchestration flows, prompt iteration, context engineering, autoraters, and training data collection.
- Work with the One Recipe team on iterating on new versions of the Gemini model through SFT and RL techniques.
- Read and research industrial ideas in this area and apply them to our real use cases.
- Participate in code reviews, enforce development best practices, and share your knowledge to raise the team's overall technical expertise.
- Work in a small team environment to rapidly develop a new product.
Minimum Qualifications
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- Experience building or using AI Agents and LLM-based frameworks to automate software engineering tasks.
Preferred Qualifications
- Master's degree or PhD in Computer Science or a related technical field.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
Compensation and Benefits
The US base salary range for this full-time Machine Learning Quality Engineer position is $174,000-$255,000, complemented by bonus, equity, and comprehensive benefits. Individual pay is determined by factors such as work location, job-related skills, experience, and relevant education or training.
Key skills/competency
- Machine Learning Quality
- AI Agents
- LLM Frameworks
- Software Development
- Testing & Evaluation
- Prompt Engineering
- Data Structures
- Algorithms
- Python
- System Design
How to Get Hired at Google DeepMind
- Research Google DeepMind's AI mission: Study their commitment to advancing AI safely, ethically, and for global benefit.
- Tailor your resume for ML Quality: Highlight experience in AI testing, LLMs, robust software development, and quality assurance.
- Showcase agentic AI projects: Demonstrate practical experience building or testing AI agents and LLM-based solutions.
- Prepare for technical deep dives: Expect rigorous questions on algorithms, data structures, and ML system quality challenges.
- Emphasize collaborative problem-solving: Google DeepMind values teamwork, knowledge sharing, and adaptability in dynamic environments.
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