Find Google DeepMind Senior Software Engineer software engineering jobs

AI research company 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 AI for widespread public benefit and scientific discovery. We're seeking a Senior Research Engineer to join our team working on the cutting-edge Gemini project.

This role focuses on the critical task of inference-optimized model design for Gemini pretraining, requiring expertise in both theoretical machine learning and practical implementation. You'll be working with state-of-the-art Large Language Models (LLMs), focusing on optimizing architecture selection for fast inference while maintaining predictable quality.

The position demands a deep understanding of XLA primitives and practical experience with JAX on TPUs. You'll be involved in implementing various distillation techniques and curating datasets for model training. The role spans the entire LLM preparation stack, from pretraining to serving, requiring both technical depth and breadth.

We offer a competitive compensation package ranging from $136,000 to $300,000, plus bonus and equity. Our benefits include comprehensive medical and dental insurance, enhanced parental leave, and flexible working options. The role is based in New York City, with relocation support available.

The ideal candidate will thrive in an ambiguous environment, demonstrate flexibility in approach, and have a proven track record in machine learning and large-scale model development. You'll be joining a diverse team of scientists, engineers, and ML experts working together to push the boundaries of AI technology.

This is an exceptional opportunity to work on groundbreaking AI technology that could be one of humanity's most useful inventions. You'll be part of a team that prioritizes safety and ethics while collaborating on critical challenges in the field of artificial intelligence.

Senior Research Engineer role focusing on inference-optimized model design for Gemini pretraining at Google DeepMind

Research Engineer - Gemini Pretraining

AI research company working on advancing artificial intelligence through scientific discovery and technological innovation.

Google DeepMind is at the forefront of artificial intelligence research and development, working to advance the state of the art in AI technology. As a Research Engineer on the Gemini team, you'll be part of a diverse group of scientists, engineers, and machine learning experts working on one of the most advanced AI systems in the world.

The role focuses on developing and maintaining large-scale data pipelines crucial for Gemini's pre-training data, which directly impacts the model's capabilities and quality. You'll conduct empirical research, validate novel datasets, and work on innovative data processing techniques. This position requires a unique blend of engineering expertise and research acumen, particularly in large-scale data processing and machine learning experimentation.

You'll collaborate with various teams within the Gemini project, including Model, Infrastructure, and Post-Training teams, contributing to the development of scaling laws and understanding the interaction between large-scale training and data. The ideal candidate will have a strong background in distributed systems, empirical experimentation, and deep learning.

Google DeepMind values diversity and creates an inclusive environment where different experiences, backgrounds, and perspectives are celebrated. The company is committed to equal employment opportunity and uses its technologies for widespread public benefit and scientific discovery. This is an opportunity to work on cutting-edge AI technology while ensuring safety and ethics remain top priorities.

The position offers the chance to work with leading researchers, contribute to state-of-the-art generative models, and translate research into products that impact both Google and external applications. If you're passionate about AI, have exceptional engineering skills, and want to be part of shaping the future of artificial intelligence, this role provides an excellent opportunity to make a significant impact in the field.

Senior Research Engineer position at Google DeepMind working on large-scale data pipelines and machine learning experimentation for the Gemini AI system.

Research Engineer - Gemini

Google DeepMind is 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 are seeking an experienced Production Engineer to lead and drive technology projects in our workplace. The Enterprise Engineering team designs, develops, and supports world-class infrastructure to accelerate our research progress. We are always looking to embrace cutting-edge technologies to provide the tools our research teams require to change the world!

This unique role offers a diverse workload from systems design and continual improvement to low-level support of the entire signal chain, from acquisition all the way through to Internet distribution. Reporting to the Head of Enterprise Engineering, you will help define and drive user requirements, be responsible for following design guidelines, owning technical design, and acting as a point of technical escalation for global event studios.

Key responsibilities include:
- Driving operational excellence by ensuring high availability and optimal performance across all research facilities
- Owning the detailed technical design of critical infrastructure
- Acting as the escalation point for critical system issues
- Proactively identifying emerging technologies and collaborating with vendors
- Managing site upgrades to ensure operational stability
- Partnering with research teams to understand their unique needs and provide tailored support
- Ensuring facility documentation is up to date and correct
- Leading research projects, managing suppliers, integrators, and budgets
- Establishing the feasibility of minor developments
- Acting as Engineer In Charge (EIC) for high-profile moments

We are looking for a candidate with deep Infrastructure Engineering experience, including:
- Expertise in IP video and audio technologies
- Strong grasp of IP networking
- Experience with broadcast systems
- Excellent problem-solving and communication skills
- Ability to work collaboratively and take initiative
- Passion for innovation and pushing the boundaries of broadcast technology

At Google DeepMind, we value diversity of experience, knowledge, backgrounds, and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of various protected characteristics.

Join us in our mission to advance the state of the art in artificial intelligence, using our technologies for widespread public benefit and scientific discovery while ensuring safety and ethics are the highest priority.

Senior Production Engineer at Google DeepMind to lead technology projects and support world-class infrastructure for AI research.

Google DeepMind Senior Software Engineer Software Engineering Jobs

Find Google DeepMind Senior Software Engineer software engineering jobs