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Senior AI Engineer (Future Tech)

Apex Neural Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Shape the Intelligence of 2026

Apex Neural Systems is at the forefront of the AI revolution, building the foundational models that will power the next decade of technology. We are seeking a visionary Senior AI Engineer to join our elite research team and help architect the neural networks of tomorrow.

You will work on cutting-edge Generative AI, Large Language Models, and autonomous agent systems. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to define the standard for 2026, this is your opportunity to make a massive impact.

Responsibilities

  • Lead the design and implementation of scalable deep learning architectures for LLMs and multimodal models.
  • Optimize model training pipelines for speed and efficiency, reducing compute costs without sacrificing accuracy.
  • Collaborate closely with data scientists and product managers to translate complex research into production-ready APIs.
  • Implement rigorous testing and evaluation frameworks to ensure model robustness and safety.
  • Stay abreast of the latest academic research and industry trends to continuously innovate our product roadmap.

Qualifications

  • Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Expert proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX.
  • Strong understanding of distributed training, MLOps, and cloud infrastructure (AWS/GCP).
  • Experience with Hugging Face Transformers, LangChain, or vector databases.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM MLOps AWS GCP Generative AI

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