DeepMind

Research Engineer, Multimodal Generative AI, Google DeepMind

Singapore

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Research, BiotechnologyIndustries

Requirements

Candidates must possess a Bachelor's degree in Computer Science, Artificial Intelligence, or a related field, along with at least 2 years of experience in deep learning research and development, specifically in generative AI and image/video synthesis, including diffusion and autoregressive models. Strong Python and deep learning framework skills (Jax, TensorFlow, PyTorch) are essential, with a preference for experience in large-scale multimodal generative model training, a strong publication record in top AI conferences, and experience in collaborative, cross-functional teams.

Responsibilities

The Research Engineer will design, implement, and evaluate cutting-edge deep learning algorithms and data curation for multimodal generative AI, focusing on culturally-adapted image and video synthesis. Responsibilities include collaborating with research scientists, engineers, and product teams, proactively identifying and addressing technical challenges, staying updated on AI advancements, and developing innovations for real-world impact. The role also involves working with Ethics and Governance teams to ensure ethical development and broad societal benefit of AI advancements.

Skills

deep learning
multimodal generative AI
data curation
image synthesis
video synthesis
multilingual
multimodal LLMs
reinforcement learning
systems neuroscience
ethics governance

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.

Land your dream remote job 3x faster with AI