Research Engineer / Research Scientist, Pre-training at Anthropic

Zurich, Zurich, Switzerland

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Degree (BA required, MS or PhD preferred) in Computer Science, Machine Learning, or a related field (or equivalent experience)
Strong software engineering skills with a proven track record of building complex systems
Expertise in Python and deep learning frameworks
Experience working on high-performance, large-scale ML systems, particularly in the context of language modeling
Familiarity with ML Accelerators, Kubernetes, and large-scale data processing
Strong problem-solving skills and a results-oriented mindset
Excellent communication skills and ability to work in a collaborative environment
Significant software engineering experience
Ability to balance research goals with practical engineering constraints
Willingness to take on tasks outside job description to support the team
Enjoyment of pair programming and collaborative work
Eagerness to learn more about machine learning research
Enthusiasm for working at an organization pursuing large-scale AI research projects
Ambitious goals for AI safety and general progress

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

Machine Learning

Large Language Models

Model Architecture

Algorithms

Data Processing

Optimizer Development

Training Infrastructure

Scientific Experiments

Multimodal AI

Software Engineering

Dev Tooling

Low-level Optimizations

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.

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