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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Scientist (Generative Models)

NexaFuture Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

We are seeking a visionary Senior AI Research Scientist to spearhead our advanced machine learning initiatives. At NexaFuture Dynamics, we are building the infrastructure for the next generation of intelligent systems, and we need a leader who can bridge the gap between theoretical research and scalable production deployment.

In this role, you will lead a team of elite engineers and data scientists in developing state-of-the-art Generative AI models. You will define the technical roadmap for our 2026 product suite, ensuring our solutions are not only cutting-edge but also responsible and efficient.

Why Join Us?
We offer a competitive compensation package, equity for all employees, and the opportunity to work on projects that will fundamentally reshape industries.

Responsibilities

  • Lead the research and development of Large Language Models (LLMs) and generative AI architectures tailored for enterprise applications.
  • Design and optimize deep learning algorithms, focusing on performance, accuracy, and energy efficiency.
  • Mentor junior researchers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with product managers and engineering teams to translate research breakthroughs into scalable software products.
  • Stay ahead of the curve on emerging AI trends, publishing papers and contributing to the open-source community.
  • Evaluate and integrate new hardware accelerators to optimize inference speeds.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • 7+ years of professional experience in machine learning research or applied AI.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR).
  • Strong understanding of Natural Language Processing (NLP) and transformer architectures.
  • Experience with MLOps, cloud infrastructure (AWS/GCP), and model deployment.

Required Skills

Python PyTorch TensorFlow NLP LLMs MLOps Cloud Computing Deep Learning Transformer Models

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