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Senior AI/ML Architect (2026 Vision)

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to define the future of technology? Quantum Horizon Labs is on a mission to pioneer the 2026 AI Era. We are looking for a visionary Senior AI/ML Architect to lead our R&D division in developing next-generation autonomous agents and generative models.

We are not just building software; we are engineering the cognitive infrastructure of tomorrow. In this role, you will have the autonomy to design cutting-edge neural architectures and direct a team of elite engineers to bring them to life.

What You Will Do

We are looking for a builder who thrives in ambiguity and loves solving the impossible. You will be responsible for the end-to-end lifecycle of our machine learning platforms.

Responsibilities

  • Lead the architectural design and implementation of scalable AI/ML pipelines for the 2026 roadmap.
  • Research and prototype novel deep learning algorithms, specifically focusing on LLMs and reinforcement learning.
  • Optimize model training efficiency and reduce inference costs using advanced quantization and pruning techniques.
  • Establish best practices for MLOps, ensuring reproducibility and monitoring in production environments.
  • Collaborate with product stakeholders to translate complex data insights into user-centric AI solutions.
  • Guide the technical strategy for the engineering team, mentoring senior and junior developers alike.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software engineering and machine learning development.
  • Expert-level proficiency in Python, PyTorch, and TensorFlow.
  • Proven experience deploying large-scale models in cloud environments (AWS, GCP, or Azure).
  • Strong background in distributed systems, microservices, and high-performance computing.
  • Demonstrated ability to stay ahead of industry trends, with a specific interest in the evolution of AGI.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps AWS Kubernetes Distributed Systems

Ready to Take This Challenge?

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