Applied Research Lead, Model Scaling
RunwaySalary not specified
Full Time
Junior (1 to 2 years)
$315,000 – $510,000Compensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AIIndustries
Requirements
- Strong software engineering skills with experience building complex ML systems
- Comfortable working with large-scale distributed systems and high-performance computing
- Experience with training, fine-tuning, or evaluating large language models
- Adept at analyzing and debugging model training processes
- Enjoy collaborating across research and engineering disciplines
- Can navigate ambiguity and make progress in fast-moving research environments
- Keen interest in AI safety and responsible deployment
- Bachelor's degree in a related field or equivalent experience
Responsibilities
- Implement and optimize post-training techniques at scale on frontier models
- Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation
- Develop tools to measure and improve model performance across various dimensions
- Collaborate with research teams to translate emerging techniques into production-ready implementations
- Debug complex issues in training pipelines and model behavior
- Help establish best practices for reliable, reproducible model post-training
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary range for this Research Engineer position?
The salary range is $315,000 - $510,000 USD.
Is this role remote or hybrid, and what are the office expectations?
The position is hybrid, with all staff expected to be in one of our offices at least 25% of the time. Some roles may require more time in offices.
What are the key skills required for this role?
Key requirements include strong software engineering skills with experience building complex ML systems, working with large-scale distributed systems, experience with training or fine-tuning LLMs, debugging model training processes, and collaboration across teams.
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 focus on AI safety and responsible deployment.
What makes a strong candidate for this position?
Strong candidates have a Bachelor's degree or equivalent, experience with LLMs and large-scale systems, debugging skills, the ability to navigate ambiguity in fast-moving environments, and a keen interest in AI safety.
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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