Machine Learning Engineer
HangSalary not specified
- Full Time
- Senior (5 to 8 years)
$315,000 – $425,000Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine Learning, Research & DevelopmentIndustries
Requirements
Candidates should possess at least 4 years of software engineering experience, a strong interest in machine learning research, and a desire to learn about the societal impacts of their work. Experience with high-performance, large-scale distributed systems, and large-scale LLM training is preferred, along with familiarity with Python and implementing LLM finetuning algorithms like RLHF.
Responsibilities
As an ML Systems Engineer, you will be responsible for building, maintaining, and improving the algorithms and systems used by researchers to train AI models, specifically focusing on the speed, reliability, and ease-of-use of these systems. This includes profiling the reinforcement learning pipeline, building systems for launching training jobs, making changes to finetuning systems for new model architectures, and diagnosing and resolving performance issues in training code, ultimately enabling breakthroughs in AI capabilities and safety.
Skills
Python
Distributed Systems
Large-Scale LLM Training
Reinforcement Learning
Finetuning Algorithms
System Profiling
Performance Optimization
Training Infrastructure
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