Research Engineer, Language at DeepMind

London, England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Technology, ResearchIndustries

Requirements

Proven experience of building codebases that support machine learning at scale, familiar with ML/scientific libraries (e.g. JAX, TensorFlow, PyTorch, Numpy, Pandas), distributed computation, and large scale system design
Knowledge of machine learning and statistics

Responsibilities

Develop, maintain, and improve large scale multimodal models and data pipelines (used for training and evaluation of models)
Collaborate with team members to develop and implement new methods for evaluating and improving multi-modal generative models, particularly at the post-training stage
Develop and maintain pipelines to collect human data

Skills

Machine Learning

Neural Networks

Large-Scale Training

Data Pipelines

Multimodal Models

Generative Models

Model Evaluation

DeepMind

Develops artificial general intelligence systems

About DeepMind

This company leads in the field of artificial general intelligence (AGI), with notable applications across healthcare, energy management, and biotechnology. Their work in early diagnostic tools for eye diseases, optimizing energy usage in major data centers, and groundbreaking contributions to protein structure prediction underlines their commitment to harnessing AI for diverse practical applications. The company's dedication to pushing the boundaries of AI technology not only propels the industry forward but also creates a dynamic and impactful working environment for its employees.

London, United KingdomHeadquarters

2010Year Founded

$4.9MTotal Funding

ACQUISITIONCompany Stage

AI & Machine Learning, BiotechnologyIndustries

1,001-5,000Employees

Benefits

Performance Bonus

Risks

Emerging AI models may challenge DeepMind's current strategies.

Backlash against AI models like Gemini poses reputational risks.

Labeling AI-generated content could increase operational complexity for DeepMind.

Differentiation

DeepMind combines AI, ML, and neuroscience for general-purpose learning algorithms.

DeepMind's AlphaFold model advances protein folding research significantly.

GraphCast by DeepMind offers rapid, accurate ten-day weather forecasts.

Upsides

AI-driven drug discovery is set to grow significantly in 2024.

AlphaCode 2 showcases AI's potential in competitive programming.

DeepMind's AI tools are transforming music creation and meteorology.

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