Research Engineer / Scientist, Alignment Science
AnthropicSalary not specified
Full Time
Junior (1 to 2 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries
Requirements
- PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience
- 3+ years of experience in a research or engineering role
- Proven track record of contributing to complex machine learning projects
- Deep understanding and hands-on experience with state-of-the-art Machine Learning techniques, particularly in Deep Learning and Large Language Models (LLMs)
- Strong programming skills, preferably in Python, and experience with common ML frameworks (e.g., TensorFlow, PyTorch, JAX)
- Excellent communication and interpersonal skills, with the ability to explain technical concepts to both technical and non-technical audiences
Responsibilities
- Conduct high-quality research in areas related to AI safety, ethics, and responsibility
- Design, implement, and run experiments to test new ideas and hypotheses
- Analyze and interpret experimental results, and communicate findings to the team
- Collaborate with cross-functional teams (e.g., Research, Engineering, Policy) to identify and address key challenges in responsible AI
- Contribute to the development of robust and scalable ML systems and tools
- Stay abreast of the latest advancements in AI, machine learning, LLMs, and AI ethics and safety
- Contribute to research papers and publications
Skills
Machine Learning
Large Language Models
ML Systems
AI Safety
AI Ethics
Experiment Design
Data Analysis
Scalable Systems
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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