AI/ML Research Scientist Mentor (LLMs & Formal Verification) – Part-Time, Remote

AI/ML Research Scientist Mentor (LLMs & Formal Verification) – Part-Time, Remote

Company

LearnWise Solutions Inc.

Job Type

Part-Time / Independent Contractor

Schedule

Flexible, with availability for online one-on-one sessions

About the Role

LearnWise Solutions Inc. is seeking an experienced AI/ML Research Scientist or Research Engineer to join our mentorship team on a part-time basis.

In this role, you will provide technical interview preparation and personalized mentorship to students pursuing AI Research, Machine Learning Research, and Research Engineering opportunities at leading technology companies and AI research labs.

We are currently looking for a mentor with expertise in Large Language Models (LLMs), deep learning, model training, formal verification, or AI evaluation systems.

Key Responsibilities

• Conduct one-on-one technical interview preparation and mock interviews for AI Research and Machine Learning Research positions.
• Help students understand and prepare for research-oriented technical questions involving deep learning, LLMs, and machine learning fundamentals.
• Provide guidance on LLM training, fine-tuning, supervised fine-tuning (SFT), reinforcement learning, and model evaluation.
• Support technical discussions involving symbolic reasoning, formal methods, automated theorem proving, and AI-assisted formal verification.
• Prepare students for questions related to experimental design, benchmark development, evaluation frameworks, and model performance analysis.
• Help students clearly communicate their research experience, technical projects, and problem-solving approaches during interviews.
• Provide constructive feedback and personalized preparation strategies based on students' target positions.

Qualifications

• Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field preferred.
• At least 3 years of professional experience in AI/ML research, machine learning engineering, or a closely related research-focused position.
• Strong understanding of deep learning fundamentals, model training, and experimental evaluation.
• Hands-on technical expertise in at least one of the following areas:
• Large Language Models (LLMs) and Foundation Models
• Model Pretraining, Fine-Tuning, SFT, or Reinforcement Learning
• Formal Verification, Automated Reasoning, or Theorem Proving
• Model Evaluation, Benchmarking, or Research Infrastructure
• Experience conducting research experiments, interpreting results, and communicating technical findings.
• Strong communication skills and the ability to explain advanced technical concepts clearly in English.
• Previous technical interviewing, mentoring, or coaching experience is a plus.

Preferred Qualifications

• Current or previous experience as an AI Research Scientist, Research Engineer, or Machine Learning Research Scientist at a leading technology company or AI research lab.
• Experience with formal verification tools such as Lean 4, Coq, or Isabelle.
• Research experience involving auto-formalization, symbolic reasoning, or neuro-symbolic AI.
• Publications at leading machine learning conferences such as NeurIPS, ICML, ICLR, ACL, or related venues.
• Experience interviewing or evaluating candidates for AI/ML research positions.

Why Join Us?

• Flexible remote teaching opportunities that accommodate your professional schedule.
• Competitive compensation based on experience and technical expertise.
• Opportunities to mentor motivated students pursuing careers in AI and Machine Learning.
• Long-term collaboration opportunities with our growing mentorship team.

Work Location: Remote