Research Scientist / Research Engineer, Pre-training at Anthropic

London, England, United Kingdom

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Machine LearningIndustries

Requirements

Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field
Strong software engineering skills with a proven track record of building complex systems
Expertise in Python and experience with deep learning frameworks (PyTorch preferred)
Familiarity with large-scale machine learning, particularly in the context of language models
Ability to balance research goals with practical engineering constraints
Strong problem-solving skills and a results-oriented mindset
Excellent communication skills and ability to work in a collaborative environment
Care about the societal impacts of your work

Responsibilities

Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development
Independently lead small research projects while collaborating with team members on larger initiatives
Design, run, and analyze scientific experiments to advance our understanding of large language models
Optimize and scale our training infrastructure to improve efficiency and reliability
Develop and improve dev tooling to enhance team productivity
Contribute to the entire stack, from low-level optimizations to high-level model design

Skills

Key technologies and capabilities for this role

PythonPyTorchDeep LearningMachine LearningLarge Language ModelsModel ArchitectureData ProcessingOptimizersDistributed TrainingSoftware Engineering

Questions & Answers

Common questions about this position

What is the salary for this Research Scientist / Research Engineer position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What skills are required for this Research Engineer role?

Required skills include an advanced degree in Computer Science, Machine Learning or related field, strong software engineering skills, expertise in Python and deep learning frameworks like PyTorch, familiarity with large-scale machine learning for language models, and strong problem-solving and communication skills.

What is the company culture like at Anthropic?

Anthropic fosters a collaborative environment with a quickly growing team of researchers, engineers, policy experts, and business leaders working as a single, cohesive team on large-scale AI research projects, emphasizing flexibility, impact, pair programming, and aligning AI with human values.

What makes a strong candidate for this position?

Strong candidates have significant software engineering experience, are results-oriented with flexibility and impact focus, willingly take on extra tasks, enjoy collaborative work like pair programming, are eager to learn ML research, and care about aligning AI with human values.

Anthropic

Develops reliable and interpretable AI systems

About Anthropic

Anthropic focuses on creating reliable and interpretable AI systems. Its main product, Claude, serves as an AI assistant that can manage tasks for clients across various industries. Claude utilizes advanced techniques in natural language processing, reinforcement learning, and code generation to perform its functions effectively. What sets Anthropic apart from its competitors is its emphasis on making AI systems that are not only powerful but also understandable and controllable by users. The company's goal is to enhance operational efficiency and improve decision-making for its clients through the deployment and licensing of its AI technologies.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$11,482.1MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Flexible Work Hours

Paid Vacation

Parental Leave

Hybrid Work Options

Company Equity

Risks

Ongoing lawsuit with Concord Music Group could lead to financial liabilities.

Technological lag behind competitors like OpenAI may impact market position.

Reliance on substantial funding rounds may indicate financial instability.

Differentiation

Anthropic focuses on AI safety, contrasting with competitors' commercial priorities.

Claude, Anthropic's AI assistant, is designed for tasks of any scale.

Partnerships with tech giants like Panasonic and Amazon enhance Anthropic's strategic positioning.

Upsides

Anthropic's $60 billion valuation reflects strong investor confidence and growth potential.

Collaborations like the Umi app with Panasonic tap into the growing wellness AI market.

Focus on AI safety aligns with increasing industry emphasis on ethical AI development.

Land your dream remote job 3x faster with AI

Try Jobo Free