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Senior AI/ML Architect 2026 | San Francisco, CA

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the Future of Intelligence.

Nexus Horizon Labs is pioneering the next generation of Artificial General Intelligence (AGI) for the year 2026 and beyond. We are looking for a visionary Senior AI/ML Architect to design scalable, efficient, and ethical machine learning systems that power the global economy.

As we stand on the precipice of the AI revolution, we need a technical leader who understands not just the code, but the strategic impact of next-gen neural architectures. You will lead a world-class team in developing autonomous agents, optimizing LLM inference, and building robust MLOps pipelines.

Why join us?

  • Impact: Your work will define the standard for AI safety and scalability.
  • Innovation: Access to state-of-the-art compute resources and proprietary datasets.
  • Equity: Competitive stock options in a high-growth unicorn.

We are committed to diversity and inclusion. We are an equal opportunity employer.

Responsibilities

  • Architect and deploy cutting-edge Large Language Models (LLMs) and multimodal AI systems.
  • Design and implement advanced MLOps strategies to ensure high availability and low latency.
  • Lead the research into next-generation neural architectures (e.g., Transformers, Graph Neural Networks).
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence.
  • Conduct rigorous testing and validation to ensure model robustness and bias mitigation.
  • Collaborate with product teams to translate complex AI capabilities into user-friendly applications.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 8+ years of professional experience in machine learning and deep learning engineering.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Proven track record of shipping production-grade AI models at scale.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure).
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps AWS GCP LLM GPT CUDA Kubernetes Ethics in AI

Ready to Take This Challenge?

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