Senior ML Researcher, Applied Machine Learning
Red Cell PartnersSalary not specified
- Full Time
- Senior (5 to 8 years)
$280,000 – $425,000Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, ResearchIndustries
Requirements
Candidates should possess a Bachelor's degree in a related field or equivalent experience, along with a strong background in Machine Learning and experience leading experimental research on Large Language Models (LLMs) or multimodal models and/or agents. Strong Python-based engineering skills are required, as well as the ability to quickly iterate on experiments to evaluate autonomous capabilities and forecast future capabilities. Experience training, working with, and prompting models is also desired.
Responsibilities
The Research Scientist will lead the end-to-end development of autonomy evals and research, encompassing risk and capability modeling, designing, implementing, and regularly running these evals. They will provide technical leadership to Research Engineers to scope and build scalable and secure infrastructure for large-scale experiments, communicate evaluation outcomes to relevant teams and stakeholders, and collaborate with other projects on the Frontier Red Team and Alignment to improve infrastructure and safety techniques for autonomous capabilities.
Skills
Machine Learning
Large Language Models
Multimodal Models
Python
Experiment Design
Model Prompting
Research
Autonomy Evaluation
Risk and Capability Modeling
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.
Key Metrics
San Francisco, CaliforniaHeadquarters
2021Year Founded
$11,482.1MTotal Funding
GROWTH_EQUITY_VCCompany Stage
Enterprise Software, AI & Machine LearningIndustries
1,001-5,000Employees