Find Google DeepMind Mid-Level Software Engineer software engineering jobs

A team of scientists and engineers working on advancing artificial intelligence for widespread public benefit and scientific discovery.

Google DeepMind is at the forefront of artificial intelligence research, working to advance the state of the art in AI while ensuring safety and ethics remain top priorities. As a Research Engineer on the Gemma team, you'll join a small, collaborative research engineering team based in Mountain View, California, focused on developing accessible and highly-usable foundational models and infrastructure.

Your role will involve working closely with Research Scientists and Research Engineers to develop software that powers cutting-edge research ideas. You'll be instrumental in understanding and unblocking every step of the research process - from ideation to publication and product integration. This position offers a unique opportunity to have horizontal impact across many research areas in the GDM project portfolio.

The team specializes in developing solutions that meet researcher needs, provide scalable infrastructure, and simplify LLM research. You'll become a go-to expert in tools and systems for LLM research, particularly working with technologies like Gemma and JAX. The role combines technical expertise with collaborative skills, as you'll be working with diverse teams and contributing to both internal and potentially external communities.

This is an excellent opportunity for someone passionate about AI research infrastructure who wants to make a significant impact on the field. You'll be part of a company that values diversity of experience and perspectives, offering competitive compensation and the chance to work on technology that could be one of humanity's most useful inventions.

Research Engineer position at Google DeepMind focusing on developing foundational AI models and infrastructure, specifically working on the Gemma project.

Research Engineer, Gemma for Foundational Research

Google DeepMind is a team of scientists, engineers, and machine learning experts working together to advance the state of the art in artificial intelligence.

At Google DeepMind, we're seeking a highly motivated Software Engineer to join our team and contribute to groundbreaking fundamental research and deployment in AI for Education and Learning. Our team aims to make fundamental advances to methods in multimodal foundation models for education and to deploy new experiences and products for learners of all types.

As a Software Engineer, you will:
- Collaborate closely with researchers and engineers across Google
- Contribute to the development of cutting-edge generative models
- Translate research into products across Google and externally
- Prototype product demos based on research ideas in various languages and platforms
- Optimize GenAI data, training, evaluation, and serving pipelines
- Set engineering direction and standards for the team
- Unblock other team members and solve new engineering problems
- Improve performance of existing models (e.g., latency of inference, serving reliability)
- Engage with application and product needs to inform engineering decisions

Key qualifications:
- 2+ years of relevant professional experience (or a PhD in a relevant field)
- Hands-on experience with Python, SQL, and at least one Web frontend language (e.g., JavaScript), mobile platform (e.g., Android), and back-end language (e.g., Java, Rust, C++, Go)
- Experience translating research innovations into product applications
- Strong communication skills and ability to work in a fast-paced environment

Additional advantages:
- Experience with fine-tuning (including RL methods) of foundation models
- Demonstrated interest and expertise in learning science, learning engineering, and digital education and learning

Join Google DeepMind and contribute to the development of AI that could be one of humanity's most useful inventions, focusing on widespread public benefit and scientific discovery while prioritizing safety and ethics.

Join Google DeepMind as a Software Engineer to develop AI for Education, working on multimodal foundation models and product prototypes.

Software Engineer, AI and Education

A team of scientists, engineers, and machine learning experts advancing artificial intelligence for widespread public benefit and scientific discovery.

At Google DeepMind, we're at the forefront of artificial intelligence research and development. We're seeking a Robotics Reliability Engineer to join our Robotics Research Engineering team. In this role, you'll work closely with software engineers and robotics AI researchers to enhance the reliability, performance, and observability of our robot software systems. Your primary focus will be on improving robot data collection and AI policy evaluation reliability by identifying and resolving issues across the robotics stack, and supporting significant horizontal scaling.

Key responsibilities include:
- Developing metrics to pinpoint systemic issues and prioritize their resolution
- Collaborating with researchers, software engineers, and operators to debug and solve workflow-related issues
- Designing reliable tools for monitoring and deploying robotics systems at scale
- Leveraging tools to streamline diagnosis and management of our robot fleet and workstations

We're looking for candidates with:
- A background in software engineering or site reliability engineering
- Experience with distributed systems
- Passion for robotics and improving complex robotic systems
- Skills in developing metrics for system health monitoring
- A collaborative mindset

Additional advantages include familiarity with ROS, open-source deployment tools, experience with Python, C++, Docker, Shell scripting, and Cloud infrastructure, and the ability to analyze complex systems.

At Google DeepMind, we value diversity and are committed to equal employment opportunity. We use our technologies for widespread public benefit and scientific discovery, collaborating on critical challenges while prioritizing safety and ethics. Join us in shaping the future of AI and robotics!

Robotics Reliability Engineer at Google DeepMind: Enhance robot software systems and AI policy evaluation reliability.

Robotics Reliability Engineer

A team of scientists, engineers, and machine learning experts working to advance artificial intelligence for widespread public benefit and scientific discovery.

At Google DeepMind, we're at the forefront of artificial intelligence research and development. Our training infrastructure team in Robotics is seeking a Research Engineer to play a crucial role in realizing general intelligence on physical robotic platforms. You'll be part of a diverse team working on cutting-edge robotics research, developing and maintaining robust and scalable training pipelines that transform large-scale robotics data into high-quality perception and control agents.

In this role, you'll collaborate closely with research scientists, engineers, and stakeholders across DeepMind. Your responsibilities will span the entire training pipeline, from data acquisition and augmentation to model training and evaluation. You'll be involved in designing and debugging new model architectures, conducting experiments to optimize performance, deploying agents on real robots, and building new robotics datasets.

We're looking for candidates with a strong background in computer science, mathematics, or related fields, with solid Python skills and a deep understanding of machine learning and statistics. Experience with robotics systems, ML frameworks like JAX, and handling large-scale datasets would be highly advantageous.

At Google DeepMind, we value diversity and are committed to equal employment opportunity. We welcome candidates from all backgrounds and experiences, and we're dedicated to creating an inclusive environment where everyone can thrive and contribute to our mission of advancing AI for the benefit of humanity.

Join us in shaping the future of robotics and AI, where your work will have a direct impact on pushing the boundaries of what's possible in machine learning and robotics. Be part of a team that's not just imagining the future, but actively building it.

Research Engineer role at Google DeepMind Robotics, developing AI training infrastructure for advanced robotics applications.

Research Engineer, Training Infrastructure

A team of scientists, engineers, and machine learning experts advancing artificial intelligence for public benefit and scientific discovery.

At Google DeepMind, we're at the forefront of artificial intelligence research and development. We're seeking a Research Engineer to join our team in creating and executing evaluations for cutting-edge AI systems. In this role, you'll apply your engineering skills to develop and maintain infrastructure for reliable, repeatable evaluations, including datasets, automated and human evaluation systems, and analysis tools. You'll stay current with AI development trends, governance, and sociotechnical research to design new evaluations and communicate results to decision-makers. Collaborating closely with other engineers, research scientists, and experts in AI ethics and policy, you'll play a crucial role in ensuring the safety of our AI systems.

Key responsibilities include:
• Designing and developing evaluations to test AI model safety
• Developing and maintaining evaluation infrastructure
• Running evaluations prior to new AI model releases
• Clearly communicating results to decision-makers
• Collaborating with experts in AI ethics, policy, and safety

We're looking for candidates with:
• A Bachelor's degree in a technical subject or equivalent experience
• Strong Python knowledge and experience
• Understanding of mathematics, statistics, and machine learning concepts
• Ability to present technical results clearly
• Deep interest in AI ethics, safety, and policy

Additional advantageous skills include experience with crowd computing, web application development, data analysis tools, and working on multi-stakeholder projects.

At Google DeepMind, we value diversity and are committed to equal employment opportunity. We welcome applications from all backgrounds and accommodate additional needs. Join us in shaping the future of AI with a focus on widespread public benefit, scientific discovery, and the highest priority on safety and ethics.

Research Engineer at Google DeepMind to develop and execute evaluations for cutting-edge AI systems, focusing on safety and ethics.

Google DeepMind Mid-Level Software Engineer Software Engineering Jobs

Find Google DeepMind Mid-Level Software Engineer software engineering jobs