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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Machine Learning Architect (2026 Visionary)

QuantumCore Systems
San Francisco
Estimated Salary
USD 200.000 – USD 290.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are building the future of intelligent systems for the year 2026 and beyond. QuantumCore Systems is seeking a visionary Senior AI & Machine Learning Architect to lead our next-generation Generative AI initiatives. If you are passionate about pushing the boundaries of what is possible with Large Language Models (LLMs) and want to define the technical standards of the next decade, we want to hear from you.

In this role, you will not just write code; you will architect the neural infrastructure that powers tomorrow's applications. You will work in a high-performance environment focused on scalability, ethical AI, and breakthrough innovation.

Why Join Us?

  • Work on cutting-edge technology that will define the 2026 tech landscape.
  • Competitive compensation package including equity options.
  • Flexible remote-first culture with state-of-the-art office facilities.
  • Access to top-tier hardware for distributed training and model optimization.

Responsibilities

  • Architect Next-Gen AI Pipelines: Design and implement scalable, high-performance machine learning pipelines for Generative AI and Large Language Models tailored for future market needs.
  • MLOps Leadership: Establish and maintain robust MLOps frameworks to ensure model deployment, monitoring, and retraining are seamless and automated.
  • Model Optimization: Lead efforts in model quantization, distillation, and inference optimization to reduce latency and cost for production environments.
  • R&D Strategy: Conduct research into novel neural architectures and novel attention mechanisms to stay ahead of the curve for 2026 technology trends.
  • Technical Mentorship: Guide a team of junior data scientists and ML engineers, fostering a culture of continuous learning and technical excellence.
  • Ethical AI Governance: Implement safety guidelines and bias mitigation strategies to ensure responsible deployment of AI systems.

Qualifications

  • Education: MS or PhD in Computer Science, Mathematics, Statistics, or a related field, with a focus on AI/ML.
  • Experience: 7+ years of experience in software engineering and machine learning, with at least 3 years in a senior architectural role.
  • Core Skills: Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Architecture: Proven experience designing distributed systems capable of handling petabyte-scale data processing.
  • Generative AI: Hands-on experience training, fine-tuning, and deploying LLMs (e.g., GPT, Llama, or custom architectures).
  • Problem Solving: Exceptional ability to translate complex business requirements into elegant technical solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps Kubernetes Docker AWS/Azure/GCP Generative AI LLMs NLP Distributed Systems CUDA

Ready to Take This Challenge?

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