Prolific seeks an AI & Machine Learning Engineer to join its team in Washington, DC, focusing on evaluating and refining AI models. The role involves assessing model architectures, auditing ML-specific code, and providing analytical critiques of output accuracy. Candidates should have a strong educational background in AI or related fields, along with professional experience in building ML models. Compensation is up to $80 per hour with flexible remote work options.
Qualifications
Expertise in evaluating and validating ML models in production settings.
Understanding of neural network architectures and optimization techniques.
Experience with ML auditing, identifying data contamination, and algorithm validation.
Responsibilities
Evaluate AI-generated model architecture explanations for accuracy.
Audit ML code and notebooks for efficiency.
Refine RLHF frameworks based on human feedback.
Analyze AI model reasoning and identify breakdowns.
Conduct performance benchmarking of model outputs.
Skills
Machine Learning
Deep Learning
Prompt Engineering
Analytical Critique
Education
BS, MS, or PhD in Computer Science, AI, Robotics, or related field
Job description
Prolific seeks an AI & Machine Learning Engineer to join its team in Washington, DC, focusing on evaluating and refining AI models. The role involves assessing model architectures, auditing ML-specific code, and providing analytical critiques of output accuracy. Candidates should have a strong educational background in AI or related fields, along with professional experience in building ML models. Compensation is up to $80 per hour with flexible remote work options.