Note: The job is a remote job and is open to candidates in USA. Invisible Technologies is focused on enhancing advanced AI systems, and they are seeking a Machine Learning Specialist to tackle applied ML challenges. The role involves solving ML tasks, evaluating scientific writing, debugging model behavior, designing benchmark tasks, and improving training datasets.

Responsibilities

• Solve applied ML tasks: iterating on problems that test and improve model reasoning, from baseline solutions to optimized workflows
• Evaluate scientific writing: compare research abstracts and introductions using review rubrics (e.g., NeurIPS guidelines) for clarity, correctness, and impact
• Debug advanced model behavior: probe LLMs on optimization, fairness, regularization, transformers, and applied NLP, documenting failure modes
• Design new benchmark tasks: identify datasets, analyze state-of-the-art papers, build evaluation scripts, and provide reference implementations
• Improve training datasets: deliver structured feedback that makes AI outputs more accurate, reliable, and useful

Skills

• Strong background in machine learning, NLP, or data science
• Experience with supervised/unsupervised learning, deep learning, reinforcement learning, probabilistic modeling, and applied NLP
• Proficiency in Python, ML frameworks, and cloud-based workflows
• Clear communication skills, able to explain reasoning and 'show your work.'
• Master's or PhD in CS/ML/data science preferred; peer-reviewed research or production ML systems a strong plus

Benefits

• Enjoy flexibility: remote, contract-based work with autonomy to set your schedule.

Company Overview

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