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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Scientist

Nexus AI Labs
San Francisco
Salary Estimate
USD 140.000 – USD 190.000
Latest
Live Update
27 Mei 2026
Deadline
27 Mei 2027

Job Description

Are you a visionary researcher passionate about the future of Artificial Intelligence?

Nexus AI Labs is seeking a Senior AI Research Scientist to spearhead our next generation of predictive models and natural language processing systems. If you thrive in a high-performance, innovative environment and want to push the boundaries of what’s possible with Large Language Models (LLMs), we want to meet you.

As part of our elite Science & Technology division, you will work on projects that redefine human-computer interaction. We offer competitive compensation, equity packages, and a hybrid work culture based in the heart of San Francisco.

Responsibilities

  • Lead Research Initiatives: Design and implement state-of-the-art machine learning algorithms and deep learning architectures from scratch.
  • Production Optimization: Translate theoretical research into scalable, production-ready code for our cloud infrastructure.
  • Publication: Author and present high-quality research papers at top-tier conferences (NeurIPS, ICML, ACL).
  • Collaboration: Partner with engineering and product teams to integrate AI solutions into client-facing products.
  • Mentorship: Guide and mentor junior data scientists and researchers within the team.
  • Model Evaluation: Rigorously evaluate model performance using A/B testing and statistical analysis.

Qualifications

  • Education: PhD in Computer Science, Mathematics, Statistics, or a related field (or equivalent industry experience).
  • Experience: 5+ years of professional experience in AI/ML research and development.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Domain Knowledge: Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Tools: Experience with MLOps tools (Kubernetes, Docker) and big data technologies (Spark, AWS).
  • Communication: Excellent written and verbal communication skills for technical and non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow SQL Data Visualization MLOps Cloud Computing

Ready to Take on This Challenge?

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