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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer (2026 Vision)

Nexus Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are pioneering the next generation of artificial intelligence, and we are seeking a visionary Senior AI/ML Engineer to join our elite R&D team in San Francisco. As we look toward the future of technology in 2026, we need a technical expert who can bridge the gap between theoretical research and production-grade systems.

In this role, you will lead the architecture of our flagship AI products, working on cutting-edge Large Language Models (LLMs) and autonomous agent frameworks. You will be responsible for shaping the algorithms that will define the next decade of human-computer interaction. If you are driven by complexity and innovation, this is your opportunity to make a lasting impact.

Responsibilities

  • Design, train, and deploy scalable machine learning models and deep neural networks for production environments.
  • Optimize model inference pipelines to ensure high performance and low latency in real-time applications.
  • Collaborate with cross-functional teams of researchers, data scientists, and product engineers to define technical requirements.
  • Conduct research into state-of-the-art architectures, including Transformers, GANs, and Reinforcement Learning.
  • Establish best practices for code quality, testing, and MLOps automation.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in machine learning, deep learning, or artificial intelligence.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning methodologies.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps AWS Docker Kubernetes Data Science

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