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)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine LearningIndustries
Requirements
- 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
- Strong systems and engineering skills in deep learning frameworks like JAX or PyTorch
Responsibilities
- Implement core infrastructure and conduct research to build generative models of the physical world
- Solve essential problems to train world simulators at massive scale
- Develop metrics and scaling laws for physical intelligence
- Curate and annotate training data
- Enable real-time interactive generation
- Explore new possibilities for impact with the next generation of models
- Embrace the bitter lesson and seek simple methods that survive the test of scale, with emphasis on strong systems and infrastructure
- Focus on infrastructure for large-scale video data pipelines and annotation
- Focus on inference optimization and distillation for real-time generation
- Focus on scaling law science for video pretraining
- Focus on next generation forms of interactivity
- Focus on methods for long term memory in world models
- Conduct model research that unlocks additional scaling and improved capabilities
Skills
Transformer models
Data pipelines
Machine learning
Research
Video data
Annotation
Inference optimization
Scaling laws
Long term memory
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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