Engineering Manager, ML Acceleration at Anthropic

Seattle, Washington, United States

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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, Machine LearningIndustries

Requirements

1+ years of management experience in a technical environment, particularly performance or distributed systems
Background in machine learning, AI, or a similar related technical field
Deeply interested in the potential transformative effects of advanced AI systems and committed to ensuring their safe development
Excel at building strong relationships with stakeholders at all levels
Quick learner, capable of understanding and contributing to discussions on complex technical topics
Experience managing teams through periods of rapid growth and change
Quick study: able to understand (at a high level of abstraction) a large number of different complex technical systems
At least a Bachelor's degree in a related field or equivalent experience

Responsibilities

Provide front-line leadership of engineering efforts to improve model performance and scale our inference and training systems
Become familiar with the team’s technical stack enough to make targeted contributions as an individual contributor
Manage day-to-day execution of the team's work
Prioritize the team’s work and manage projects in a highly dynamic, fast paced environment
Coach and support your reports in understanding and pursuing their professional growth
Maintain a deep understanding of the team's technical work and its implications for AI safety

Skills

Key technologies and capabilities for this role

Machine LearningDistributed SystemsPerformance OptimizationInferenceTraining SystemsAI SafetySystems Engineering

Questions & Answers

Common questions about this position

What is the salary range for the Engineering Manager, ML Acceleration role?

The expected salary range is $425,000 - $560,000 USD annually.

What is the location and hybrid work policy for this position?

Anthropic expects all staff to be in one of their offices at least 25% of the time, though some roles may require more.

What skills and experience are required for this Engineering Manager role?

Candidates need 1+ years of management experience in a technical environment, particularly performance or distributed systems, a background in machine learning, AI, or a related field, and the ability to quickly learn complex technical systems.

What is the company culture like at Anthropic?

Anthropic has a quickly growing team of committed researchers, engineers, policy experts, and business leaders focused on building safe and beneficial AI systems in a fast-paced, dynamic environment.

What makes a strong candidate for this role?

Strong candidates have experience with high performance, large-scale ML systems, GPU/Accelerator programming, ML framework internals, OS internals, or language modeling with transformers, along with a commitment to safe AI development.

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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