[Remote] Research Engineer, Pre-training at Anthropic

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, BiotechnologyIndustries

Skills

Key technologies and capabilities for this role

PythonPyTorchDeep LearningLarge Language ModelsMachine LearningSoftware EngineeringAlgorithm DevelopmentData ProcessingOptimizer DevelopmentModel ArchitectureScientific ExperimentationProblem-Solving

Questions & Answers

Common questions about this position

What qualifications are required for the Research Engineer position?

Candidates need an advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field, strong software engineering skills, expertise in Python and deep learning frameworks (PyTorch preferred), familiarity with large-scale machine learning for language models, and strong problem-solving and communication skills.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What is the company culture like at Anthropic?

Anthropic has a quickly growing team of committed researchers, engineers, policy experts, and business leaders collaborating to build safe and beneficial AI systems, with a strong emphasis on reliability, interpretability, and societal impact.

What traits make someone thrive in this Research Engineer role?

You'll thrive if you have significant software engineering experience, are results-oriented with a bias towards flexibility and impact, and willingly take on tasks outside your job description.

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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