Machine Learning Engineer
HangSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Research & DevelopmentIndustries
Requirements
Candidates should possess a Master's degree in Computer Science, Machine Learning, or a related field, and demonstrate at least 3 years of experience in machine learning research, particularly in reinforcement learning. Strong programming skills in Python are essential, along with familiarity with deep learning frameworks such as PyTorch or TensorFlow. Experience with distributed training and large-scale systems is highly desirable.
Responsibilities
As a Research Engineer, you will architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. You will also design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents, drive performance improvements across the stack through profiling, optimization, and benchmarking, and collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure.
Skills
Reinforcement Learning
Large Language Models
Code Generation
Scalable RL Infrastructure
Model Reasoning
Research and Engineering
AI Safety
System 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