Senior Research Scientist, Cohere Labs
CohereSalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries
Requirements
- Ph.D. (or equivalent research experience) in Computer Science, Artificial Intelligence, or a related field
- Strong publication record in top-tier AI conferences or journals
- Solid understanding of deep learning, natural language processing, computer vision, and/or speech processing
- Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch
- Excellent communication and collaboration skills
- Passionate and talented researcher with a strong foundation and proven ability to conduct impactful research in AI
- Embrace change and thrive under ambiguity
- Collaborative mindset and excited to work as part of a team on ambitious research challenges
- Passionate about translating research into real-world products with direct product impact
Responsibilities
- Develop and evaluate multilingual, multicultural, and multimodal LLMs: Design, implement, and evaluate multilingual, multicultural, and multimodal capabilities in Gemini and other frontier models at Google
- Collaborate with a world-class team: Work closely with other research scientists, engineers, and product teams across Google DeepMind
- Contribute to real-world impact: See your work contribute to Gemini and other frontier models at Google, influencing Google products and services
- Contribute to the research community: Share insights and participate in external academic workshops and conferences
Skills
LLMs
Multilingual LLMs
Multimodal LLMs
Gemini
Pretraining
Posttraining
Evaluations
Speech
Vision
Text Processing
Machine Learning
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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