PhD Mentor - Machine Learning, Artificial Intelligence, and Natural Language Processing

logolife • United State
Remote
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AI Summary

Mentor students pursuing careers in AI, research, and high-impact technology roles. Provide guidance on career paths, industry trends, and long-term career development. PhD graduates in Machine Learning, Artificial Intelligence, or Natural Language Processing from Top 17 U.S. universities.

Key Highlights
Mentor students in AI, research, and high-impact technology roles
Provide guidance on career paths, industry trends, and long-term career development
PhD graduates in Machine Learning, Artificial Intelligence, or Natural Language Processing from Top 17 U.S. universities
Key Responsibilities
Conduct 1:1 virtual mentorship sessions with students
Share insights on AI/ML research, career paths, and industry trends
Provide guidance on graduate school, research careers, and industry transitions
Technical Skills Required
Machine Learning Artificial Intelligence Natural Language Processing
Benefits & Perks
$75 per completed mentorship session
Fully remote with flexible scheduling
No minimum hour requirement

Job Description


About LogoLife

LogoLife is a mentorship platform that connects students and early-career professionals with experienced industry mentors for 1:1, career-focused guidance. Our mentors provide real-world insights into career paths, professional development, and industry expectations through structured, high-impact conversations.


We are expanding our network of advanced technology and research mentors and are seeking

PhD graduates in Machine Learning, Artificial Intelligence, or Natural Language Processing (NLP) to guide students pursuing careers in cutting-edge computer science fields.


Role Overview

We are seeking PhD graduates in Machine Learning, Artificial Intelligence, or NLP from Top 17 U.S. universities to mentor students exploring advanced careers in AI, research, and high-impact technology roles.


As a mentor, you will provide insight into:

  • Career paths in AI and ML (Research Scientist, ML Engineer, Applied Scientist, AI Engineer, etc.)
  • Academic pathways including PhD admissions, research positioning, and publishing
  • Transitioning from research to industry roles at leading tech companies and AI labs
  • Specializations such as deep learning, NLP, computer vision, reinforcement learning, and generative AI
  • Industry expectations for AI-driven roles and research-based positions
  • Long-term career development in both academia and industry
  • This is a flexible, remote opportunity designed for experienced researchers and technical experts who are passionate about mentoring the next generation of AI professionals.


    Responsibilities

    • Conduct 1:1 virtual mentorship sessions with students
    • Share insights on AI/ML research, career paths, and industry trends
    • Provide guidance on graduate school, research careers, and industry transitions
    • Offer real-world perspectives on applying AI and ML in industry and academia


    Requirements

    • PhD in Machine Learning, Artificial Intelligence, Natural Language Processing, or a closely related field
    • Graduate of a Top 17 U.S. university (e.g., MIT, Stanford, Harvard, Carnegie Mellon, UC Berkeley, etc.)
    • Currently working in AI/ML research or advanced technical roles in industry or academia
    • Strong experience in areas such as deep learning, NLP, computer vision, or large-scale ML systems
    • Excellent communication skills with the ability to mentor and guide students effectively


    Preferred Qualifications

    • Experience at leading AI labs, tech companies, or research institutions
    • Publications in top-tier conferences (e.g., NeurIPS, ICML, ACL, CVPR)
    • Experience mentoring, teaching, or supervising students
    • Experience translating research into real-world AI applications


    What We Offer

    • $75 per completed mentorship session
    • Fully remote with flexible scheduling
    • No minimum hour requirement
    • Opportunity to directly impact and guide future AI and ML professionals


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