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Senior AI/ML Engineer (2026 Vision)

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

Job Description

Are you ready to architect the intelligence of tomorrow? Nexus Horizon Labs is at the forefront of defining the future of technology, and we are seeking a visionary Senior AI/ML Engineer to help shape our roadmap for 2026 and beyond. You will work on cutting-edge generative models, autonomous agents, and next-generation neural architectures that redefine human-machine interaction.

We are looking for a technical leader who doesn't just implement existing algorithms but pushes the boundaries of what is possible in Artificial Intelligence.

Responsibilities

  • Lead the end-to-end development of advanced AI models, focusing on scalability and efficiency for production environments.
  • Design and implement novel neural network architectures for generative AI and large language models (LLMs).
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Optimize model inference performance and reduce computational costs using techniques such as quantization and pruning.
  • Conduct rigorous research to stay ahead of the curve on emerging AI trends, including reinforcement learning and multimodal learning.
  • Mentor junior engineers and establish best practices for MLOps and data governance.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • 7+ years of professional experience in machine learning, deep learning, or artificial intelligence.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Extensive experience with Large Language Models (LLMs) and fine-tuning techniques (e.g., LoRA, PEFT).
  • Deep understanding of distributed systems and cloud infrastructure (AWS, GCP, or Azure).
  • Track record of publishing research or delivering high-impact AI products.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Large Language Models AWS MLOps Generative AI Reinforcement Learning SQL

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