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Senior AI Research Engineer (Generative Models)

Nexus Core Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Core Systems, a pioneering force in next-generation artificial intelligence, as we architect the technology stack for 2026 and beyond. We are seeking a visionary Senior AI Research Engineer to lead the development of scalable, efficient, and safe Generative AI models. You will be at the forefront of reshaping human-computer interaction, working on projects that define the future of the digital landscape.


If you are passionate about pushing the boundaries of machine learning and possess the technical prowess to architect robust systems, we want to hear from you. This is a unique opportunity to influence the trajectory of AI development and solve complex problems that matter.

Responsibilities

  • Lead the design and implementation of state-of-the-art Large Language Models (LLMs) and multimodal architectures.
  • Optimize model inference and training pipelines for high-scale deployment on cloud infrastructure.
  • Collaborate with cross-functional teams to translate research breakthroughs into production-ready products.
  • Establish best practices for data governance, model evaluation, and ethical AI deployment.
  • Conduct cutting-edge research in natural language processing (NLP) and deep learning optimization.
  • Mentor junior engineers and researchers, fostering a culture of innovation and continuous learning.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Deep expertise in Python, PyTorch, and TensorFlow.
  • Extensive experience with transformer architectures, attention mechanisms, and fine-tuning techniques.
  • Strong mathematical foundation in linear algebra, calculus, and probability theory.
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ACL) or shipping high-impact products.
  • Excellent communication skills with the ability to articulate complex technical concepts to diverse stakeholders.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Deep Learning Generative AI Cloud Computing AWS Azure Kubernetes

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