Senior Research Scientist, Cohere Labs
CohereSalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, Machine Learning, TechnologyIndustries
Requirements
- MSc or PhD in computer science or machine learning, or equivalent industry experience
- Experience with large-scale transformer models and/or large-scale data pipelines
- Track record of releases, publications, and/or open source projects relating to video generation, world models, multimodal language models, or transformer architectures
- Exceptional engineering skills in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a track record of building high-quality research prototypes and systems
- Demonstrated experience in large-scale training of multimodal generative models
Responsibilities
- Conduct research to build generative multimodal models of the 3D world
- Build and train large-scale systems for data annotation
- Curate and annotate training datasets
- Build and maintain large model training infrastructure
- Develop scaling ladders and training recipes
- Develop metrics for spatial intelligence
- Enable real-time interactive experiences
- Study the integration of spatial modalities with multimodal language models
- Train massive-scale models
Skills
3D computer vision
spatial representations
large-scale transformers
generative models
data pipelines
model training
annotation systems
spatial intelligence
video generation
world models
multimodal models
model scaling
training infrastructure
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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