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Senior AI Engineer (2026 Vision)

Nexus Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you ready to architect the intelligence of tomorrow? Nexus Future Tech is seeking a visionary Senior AI Engineer to lead our groundbreaking research initiatives aimed at defining the technological landscape of 2026 and beyond. We aren't just building models; we are defining the future of human-machine interaction.

In this role, you will spearhead the development of next-generation neural architectures, pushing the boundaries of what is possible in machine learning. You will work in a collaborative environment where innovation is the currency and your expertise drives real-world impact.

Why Join Us?

  • Work on cutting-edge Generative AI and Large Language Model (LLM) projects.
  • Competitive compensation package and equity options.
  • Flexible remote-first policy with a focus on well-being.
  • Access to state-of-the-art hardware and cloud infrastructure.

Responsibilities

  • Design, train, and deploy scalable machine learning models using state-of-the-art frameworks like PyTorch and TensorFlow.
  • Lead research initiatives focused on Generative AI and Large Language Models (LLMs) to solve complex industry problems.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems seamlessly.
  • Optimize existing models for reduced latency and increased accuracy in high-volume production environments.
  • Stay ahead of the curve by publishing research papers and contributing to open-source communities.
  • Mentor junior engineers and provide technical guidance on architectural decisions.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • 7+ years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
  • Expert proficiency in Python, C++, and modern ML frameworks (PyTorch, TensorFlow, JAX).
  • Strong understanding of Deep Learning principles, Natural Language Processing (NLP), and Computer Vision.
  • Demonstrated ability to lead technical projects from conception to deployment.
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision AWS GCP Agile Scrum

Ready to Take This Challenge?

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