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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer (2026 Vision)

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are a pioneering research lab pushing the boundaries of Artificial General Intelligence (AGI) and predictive modeling. As we look toward the technological landscape of 2026 and beyond, we are seeking a visionary Senior AI/ML Engineer to lead our core infrastructure initiatives. You will not just write code; you will architect the systems that define the future of human-computer interaction.

In this role, you will bridge the gap between theoretical research and production-grade deployment. You will work with a world-class team of researchers and engineers to build scalable, fault-tolerant AI systems capable of processing petabytes of data in real-time.

Responsibilities

  • Design and implement scalable machine learning pipelines for large-scale data processing and model training.
  • Research and prototype cutting-edge algorithms to advance our roadmap for 2026.
  • Optimize existing models for inference speed, latency, and resource efficiency on cloud infrastructure.
  • Collaborate closely with product managers and data scientists to translate business requirements into technical solutions.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Ensure data security, privacy compliance, and ethical AI practices in all deployed models.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in machine learning engineering or applied AI research.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of Large Language Models (LLMs), transformers, and fine-tuning methodologies.
  • Experience with distributed training frameworks (Ray, Kubernetes) and cloud platforms (AWS, GCP).
  • Strong problem-solving skills and the ability to work in a fast-paced, experimental environment.

Required Skills

Python PyTorch TensorFlow AWS GCP Kubernetes LLM NLP Machine Learning Deep Learning Distributed Systems Docker Git

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