Home Job Details
N
Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Scientist

Nexus Core Systems
San Francisco
Salary Estimate
USD 160.000 – USD 230.000
Latest
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Shape the Future of Intelligence

At Nexus Core Systems, we are building the next generation of Artificial General Intelligence (AGI). We are seeking a visionary Senior AI Research Scientist to lead the charge in developing scalable, robust, and ethical machine learning models. You will work at the intersection of theoretical research and practical engineering, pushing the boundaries of what is possible in Natural Language Processing and Computer Vision.

Why Join Us?

  • Impact: Your work will directly influence billions of users worldwide.
  • Autonomy: We offer a high degree of independence; you define your research roadmap.
  • Collaboration: Work alongside world-class engineers, ethicists, and designers.
  • Perks: Top-tier equity package, comprehensive healthcare, and unlimited PTO.

Key Responsibilities

  • Design and implement novel deep learning architectures to solve complex, unstructured problems.
  • Lead end-to-end research projects, from hypothesis generation to prototype deployment.
  • Optimize model performance for speed, accuracy, and resource efficiency at scale.
  • Collaborate with the product team to translate research breakthroughs into consumer-facing features.
  • Publish cutting-edge research in top-tier conferences (NeurIPS, ICML, ACL).
  • Mentor junior researchers and Ph.D. interns to foster a culture of innovation.

Qualifications

  • Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of professional experience in machine learning research or engineering.
  • Extensive experience with deep learning frameworks (PyTorch, TensorFlow, JAX).
  • Strong proficiency in Python and SQL.
  • Proven track record of publishing in peer-reviewed venues or shipping high-impact models.
  • Experience with LLMs (Large Language Models), Transformers, or diffusion models is highly preferred.

Responsibilities

  • Design and implement novel deep learning architectures to solve complex, unstructured problems.
  • Lead end-to-end research projects, from hypothesis generation to prototype deployment.
  • Optimize model performance for speed, accuracy, and resource efficiency at scale.
  • Collaborate with the product team to translate research breakthroughs into consumer-facing features.
  • Publish cutting-edge research in top-tier conferences (NeurIPS, ICML, ACL).
  • Mentor junior researchers and Ph.D. interns to foster a culture of innovation.

Qualifications

  • Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of professional experience in machine learning research or engineering.
  • Extensive experience with deep learning frameworks (PyTorch, TensorFlow, JAX).
  • Strong proficiency in Python and SQL.
  • Proven track record of publishing in peer-reviewed venues or shipping high-impact models.
  • Experience with LLMs (Large Language Models), Transformers, or diffusion models is highly preferred.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Research Statistics SQL

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