Remote Software Engineer - Reinforcement Learning

Summary

Join our team of over 250 talented individuals, including world-renowned cryptographers, distributed systems engineers, programming language experts, and industry leaders, who are shaping the future of the internet and web3.

Requirements

• Experience: At least 3 years of experience working in a software engineering role focused on AI/ML tasks
• Data Expertise: Hands-on experience assembling, annotating, and cleaning training data for machine learning models
• Technical Skills: Proficiency in Python and experience with AI frameworks like TensorFlow or PyTorch
• Model Training: Familiarity with model training, reward modeling, and supervised fine-tuning techniques
• Attention to Detail: Strong focus on data quality and attention to detail when handling large datasets

Responsibilities

• Data Assembly & Annotation: Gather and annotate training data for AI models, ensuring it meets the quality requirements for reward modeling and supervised fine-tuning
• Data Cleaning & Processing: Conduct data cleaning and preprocessing to ensure models receive high-quality input
• Model Training: Participate in the training and fine-tuning of models, ensuring that they meet performance and accuracy standards
• Collaboration: Work with AI engineers, data scientists, and other team members to ensure efficient workflows and data handling
• Continuous Improvement: Support iterative improvements to models based on performance monitoring and feedback

Benefits

• Health insurance
• Retirement benefits
• Paid time off
• Remote work, flexible hours