Remote Senior AI Engineer, Reinforcement Learning (Post-training)

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. We are seeking a highly skilled Senior AI Engineer to accelerate the deployment of improvements to our models.

Requirements

• Experience: Minimum 5 years of experience in AI/ML engineering with a focus on model training and deployment
• Post-Training Expertise: Demonstrated ability to build and optimize post-training pipelines at scale
• Data Coordination: Experience in managing the development and annotation of synthetic and real-world datasets
• Technical Skills: Proficiency in Python, TensorFlow/PyTorch, and experience with cloud platforms like AWS, GCP, or Azure
• Team Leadership: Proven track record of coordinating complex engineering projects with cross-functional teams
• Analytical Skills: Strong problem-solving skills with a focus on performance optimization and automation

Responsibilities

• Ownership of Post-Training Pipeline: Lead the design, implementation, and optimization of the post-training pipeline to ensure efficient model deployment and scalability
• Coordination of Data Development: Oversee the development of high-quality training datasets, including managing the creation and use of synthetic data
• Model Training: Conduct advanced model training, ensuring continuous improvement in accuracy and performance
• Collaboration: Work closely with cross-functional teams including data engineers, software engineers, and product teams to integrate AI models into production
• Performance Monitoring: Analyze and monitor the performance of models in production, iterating on training pipelines to enhance outcomes

Benefits

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