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Senior AI/ML Engineer (2026 Vision) - San Francisco

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are building the intelligence layer for the next decade. Nexus Horizon is seeking a visionary Senior AI/ML Engineer to spearhead our development of next-generation Large Language Models and Autonomous Agents.


In this role, you won't just maintain existing models; you will architect the foundation for the AI systems of 2026 and beyond. You will work in a collaborative, high-performance environment focused on ethical AI, multimodal learning, and real-world deployment.


Why join us?

  • Work on cutting-edge Generative AI research.
  • Competitive equity and a top-tier compensation package.
  • Flexible remote/hybrid options in the heart of SF.
  • Access to the latest hardware (NVIDIA H100 clusters).

Responsibilities

  • Architect and deploy scalable machine learning pipelines using PyTorch and TensorFlow.
  • Lead research initiatives in Reinforcement Learning from Human Feedback (RLHF) and Chain-of-Thought reasoning.
  • Optimize model inference speeds for edge devices and large-scale cloud deployments.
  • Collaborate with product teams to integrate AI capabilities into consumer-facing applications.
  • Establish best practices for data privacy, security, and ethical AI usage.
  • Conduct technical mentorship and code reviews for junior data scientists.
  • Publish research findings in top-tier conferences (NeurIPS, ICML).

Qualifications

  • PhD or Master's degree in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in Deep Learning and Natural Language Processing (NLP).
  • Expert proficiency in Python, C++, and GPU programming (CUDA).
  • Proven experience training and fine-tuning Large Language Models (LLMs).
  • Strong understanding of Transformer architectures and attention mechanisms.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Deep Learning CUDA AWS Docker Kubernetes Transformer Architecture Large Language Models (LLM)

Ready to Take This Challenge?

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