Home Job Details
Q
Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Scientist

QuantumLeap AI
San Francisco
Salary Estimate
USD 180.000 – USD 250.000
Live Update
10 Mei 2026
Deadline
10 Mei 2027

Job Description

Join QuantumLeap AI's pioneering team in revolutionizing artificial intelligence applications. We're seeking a visionary Senior AI Research Scientist to architect next-generation machine learning models that transform industries. Collaborate with world-class researchers in a state-of-the-art lab environment where innovation meets impact. Your work will directly shape our product roadmap and contribute to groundbreaking research published in top-tier conferences.

Enjoy competitive equity packages, unlimited PTO, and a flexible work culture that values creativity. Our campus features dedicated AI labs, mindfulness spaces, and gourmet meals prepared by Michelin-trained chefs.

Responsibilities

  • Design and implement novel deep learning architectures for computer vision and NLP applications
  • Lead research initiatives in transfer learning and reinforcement learning domains
  • Publish findings in top-tier conferences (NeurIPS, ICML, CVPR)
  • Mentor junior researchers and collaborate with engineering teams for production deployment
  • Secure external funding through NSF and DARPA grant applications
  • Stay current with emerging AI trends through continuous learning and conference participation

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (MS with exceptional experience considered)
  • 5+ years of hands-on experience with PyTorch/TensorFlow and distributed training
  • Proven track record of publishing at NeurIPS/ICML/CVPR or equivalent
  • Expertise in at least one specialized AI domain (computer vision, NLP, or reinforcement learning)
  • Strong software engineering skills with Python and C++
  • Experience with cloud platforms (AWS/GCP/Azure) and MLOps frameworks

Required Skills

Python PyTorch TensorFlow Computer Vision NLP Reinforcement Learning Distributed Training MLOps AWS Research Publication

Ready to Take on This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Job Openings

Job recommendations similiar to you

View All