Large-scale language models need sharper reasoning and better datasets to evolve into engines of discovery, education, and engineering. The company is looking to solve this by hiring a Machine Learning Specialist to take on hands-on ML challenges that will directly impact next-generation AI.
Requirements
- Experience with supervised/unsupervised learning, deep learning, reinforcement learning, probabilistic modeling, and applied NLP.
- Proficiency in Python, ML frameworks, and cloud-based workflows.
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.
Other
- Clear communication skills, able to explain reasoning and “show your work.”
- 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.
