Research Engineer - Language
London, UK
DeepMind
Artificial intelligence could be one of humanity’s most useful inventions. We research and build safe artificial intelligence systems. We're committed to solving intelligence, to advance science and benefit humanity.At 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 sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity 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.
Snapshot
At DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning and systems neuroscience to build general-purpose learning algorithms. We have already made a number of high profile breakthroughs towards building artificial general intelligence, and we have all the ingredients in place to make further significant progress over the coming year!
About us
The Language team at DeepMind seeks to build artificial intelligence algorithms capable of understanding and generating natural language. We bring to bear all of the tools of machine learning and cognitive science, including deep learning, structured models, and unsupervised learning, on problems such as question answering, translation, multi-modal reasoning, and language generation.
We have built a hardworking and engaging culture, combining research and product-led environments, to provide an encouraging balance of structure and flexibility. Our approach inspires collaboration across all groups within the company that require language expertise.
The role
Research Engineers in Language work on a diverse range of projects including: developing and optimising learning algorithms and models, prototyping applications, dataset development, providing software design and programming support to research projects, along with crafting and implementing software libraries in multiple programming languages.
Key responsibilities
- Provide software design and programming support to research projects
- Report and present software developments including status and results clearly and thoughtfully both internally and externally, verbally and in writing
- Design and implement software libraries, including tools for dataset construction
- Implement, optimise, and evaluate algorithms and models
About you
Essential:
- Technical degree (e.g., BSc, BEng, MSc, MEng) in computer science, mathematics, physics, electrical engineering, machine learning or equivalent experience
- Experience (commercial, academic, or as a hobbyist) with using machine learning
- Extensive knowledge of and experience with programming in Python
- Knowledge of machine learning and/or statistics
- Experience working with JAX, Tensorflow, or PyTorch
Nice to have:
- C/C++
- Experience with structured prediction models and/or time series models
- Experience with multi-threaded design and parallel/distributed computing
- Experience with implementing numerical methods and data visualisation
- Interest in linguistics, cognitive science, or neuroscience
- Contributions to open source projects
Tags: C++ Computer Science Deep Learning Engineering Machine Learning Mathematics Open Source Physics Prototyping Python PyTorch Research Statistics TensorFlow
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