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Senior AI Research Scientist

NeuralHorizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to shape the future of Artificial Intelligence in 2026 and beyond? At NeuralHorizon Labs, we are pioneering the next generation of General AI systems. We are seeking a visionary Senior AI Research Scientist to lead our core model development team in San Francisco.

We are building the foundational architectures for the autonomous agents of tomorrow. If you have a passion for pushing the boundaries of Large Language Models (LLMs) and Generative AI, this is your chance to define the industry standard.

Why Join Us?

  • Future-Ready Tech Stack: Work with cutting-edge PyTorch, TensorFlow, and proprietary distributed training frameworks.
  • Premium Compensation: Competitive salary plus equity packages.
  • Impactful Work: Your research will directly influence the AI landscape of the next decade.

We are looking for a thought leader who can bridge the gap between theoretical research and scalable production systems.

Responsibilities

  • Lead the research and development of next-generation Generative AI models and Large Language Models.
  • Design and implement novel neural network architectures to improve model performance and efficiency.
  • Conduct rigorous experimentation, A/B testing, and benchmarking of AI agents.
  • Collaborate with cross-functional engineering teams to deploy research findings into production environments.
  • Mentor junior researchers and PhD interns to foster a culture of innovation.
  • Publish high-impact papers at top-tier AI conferences (NeurIPS, ICML, ACL).

Qualifications

  • PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • 5+ years of experience in deep learning, NLP, or computer vision.
  • Proficiency in Python and major deep learning frameworks (PyTorch, TensorFlow).
  • Strong understanding of Transformer architectures and attention mechanisms.
  • Experience with training large-scale models on distributed systems (e.g., Ray, Horovod).
  • Proven track record of publishing research in peer-reviewed venues.

Required Skills

Python PyTorch TensorFlow Deep Learning Machine Learning NLP Transformers Natural Language Processing Research Distributed Computing SQL

Ready to Take This Challenge?

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

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