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

Key technologies and capabilities for this role

Machine LearningLarge Language ModelsModel ArchitectureAlgorithmsData ProcessingOptimizer DevelopmentTraining InfrastructureScientific ExperimentsMultimodal AISoftware EngineeringDev ToolingLow-level Optimizations

Questions & Answers

Common questions about this position

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

This information is not specified in the job description.

Is this role remote or based in a specific location?

The role is based in Zurich with the Pre-training team.

What skills are required for this position?

Required skills include a degree in Computer Science, Machine Learning or related (BA required, MS/PhD preferred), strong software engineering skills, expertise in Python and deep learning frameworks, experience with high-performance large-scale ML systems in language modeling, and familiarity with ML Accelerators, Kubernetes, and large-scale data processing.

What is the company culture like at Anthropic?

Anthropic emphasizes 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 focused on safe and beneficial AI.

What makes a strong candidate for this role?

Strong candidates have significant software engineering experience, can balance research goals with practical engineering constraints, enjoy collaborative work like pair programming, are eager to learn about ML research, and are passionate about AI safety and team support.

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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