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An innovative firm is seeking a Research Engineer to join their dynamic team focused on advancing artificial intelligence. This role involves collaborating with researchers to develop and run experiments on large-scale language models and generative AI. Candidates should possess strong Python skills, familiarity with frameworks like JAX or PyTorch, and a solid understanding of deep learning principles. The company offers a supportive environment with a commitment to employee well-being, providing excellent benefits and flexible working options. If you're passionate about AI and eager to contribute to groundbreaking projects, this opportunity is perfect for you.
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
Key Responsibilities:
Our team develops the next generation of theoretically-founded methods for LLMs and generative AI. We are hiring a research/software engineer.
We work on large-scale sequence modeling (e.g. language modeling and LLMs) to improve the quality and efficiency of current state-of-the-art techniques. We are looking for an engineer who can collaborate with researchers to develop and run experiments, helping to bring innovative ideas to reality. For this role a low-level understanding of common XLA primitives and how jax code runs on TPUs in practice is highly beneficial.
The ideal candidate is willing to roll up sleeves to work across the LLM stack (pretraining, finetuning, serving) to deliver strong results.
Experience in any of these is highly beneficial:
We seek out individuals who thrive in ambiguity and who are willing to help out with whatever moves prototypes forward. We regularly need to invent novel solutions to problems, and often change course if our ideas don’t work out, so flexibility and adaptability to work on any project is a must.
In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:
BSc degree in computer science or a related STEM field
In addition, the following would be an advantage:
At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc.
We value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
The US base salary range for this full-time position is between $114,000 - $300,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.