Note: The job is a remote job and is open to candidates in USA. Invisible Technologies is seeking an ML Engineer Specialist to work on hands-on machine learning challenges that enhance advanced AI systems. The role involves solving applied 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
- As a contractor you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply
Company Overview
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